PART ONE
PRICE BEHAVIOR
One
Secular Trends of Rice Prices in the Yangzi Delta, 1638–1935
Yeh-chien Wang
In an agrarian society like Qing China, grains are the most important commodities in domestic trade, and food consumption makes up more than half of the average household budget.[1] Grain prices are therefore the leading indicator in the market; the direction and the magnitude of their movement generally reflect conditions of inflation, deflation, or crises of major proportion. Moreover, persistent changes in grain prices relative to prices of other commodities give rise to a process of income redistribution affecting the welfare of virtually all groups of people and eventually the social and political stability of a country. As such, a clear knowledge of the trends of grain prices will provide not only a key to understanding the state of economy and society but also a basis for further research in real wages, the standard of living, and many other areas once data on other economic indicators are uncovered.
I would like to thank the participants of the Conference on Economic Methods for Chinese Historical Research held in Oracle, Arizona, in 1988 and especially Professors Jon Cohen, Peter H. Lindert, Lillian M. Li, and Thomas G. Rawski for their comments and suggestions. Most data for this paper were gathered at the First Historical Archives in Beijing and the National Palace Museum in Taibei. I feel greatly indebted to the staffs of these two institutions for their cooperation and assistance. I am also grateful to Fang Xing of the Institute of Economics, Chinese Academy of Social Sciences, and the late Wu Dange of Fudan University, who kindly showed me additional sources of price data from published works, and to Douglas E. Lewis of Computer Services at Kent State University for his assistance in data design and graphics. For financial support I wish to acknowledge assistance from the following institutions: the Committee on Scholarly Communication with the People's Republic of China, the National Science Council of the Republic of China, the Social Science Research Council, the American Council of Learned Societies, the Foundation for Scholarly Exchange (Fulbright Foundation), the Wang Institute for Graduate Studies, and Kent State University.
[1] See Wu Chengming, Zhongguo ziben zhuyi yu guonei shichang (Beijing, 1985), p. 253; John Lossing Buck, Chinese Farm Economy (Chicago, 1930), pp. 361–64, 386; Sidney Gamble, Ting Hsien: A North China Rural Community (Stanford, 1968), p.118.
Empirical studies in price history for imperial China are still in their infancy because of scarcity of data,[2] but the gradual opening of archival resources in both Beijing and Taibei offers us rich mines for historical exploration. What I am attempting to do in this paper is to delineate broadly the secular trends of the prices of rice, the single most important staple food of the Chinese people, in the Yangzi Delta for three centuries prior to World War II and to suggest some tentative explanations for the trends observed.
The Yangzi Delta is chosen as the focus of observation for two main reasons. First, price data for the area are more abundant and, by and large, of better quality than price data for other areas. I am thus able to construct a price series extending over three centuries. Second, because of its economic centrality, prices in the area reflected conditions of demand and supply in the national, not just regional, market. In late imperial China most of the long-distance trade used the waterways, of which the Yangzi River, the Grand Canal, and the sea route along the coast were by far the most important. Linking the eastern coast with the interior, the Yangzi River flows through China's most productive regions. Together with its tributaries and connecting lakes it provided the most efficient network of inland transportation. The Grand Canal joined the capital region to the resource-rich South, while the sea route tied together all of the coastal provinces from Hainan Island to the Liaodong Peninsula. Only the northwestern region and the southwestern corner of the empire remained relatively isolated. Before the Opium War (1840–42) there were, according to one study, more than 200,000 junks plying these waterways and other smaller rivers with a total carrying capacity amounting to 4–5 million tons.[3] Strategically situated at the focal point where the three principal arteries converged, the Yangazi Delta thus became the hub of interregional trade (see Map 1.1).
In addition to the advantage it possessed in geographic position, the industrial structure of the delta further enhanced its economic significance. It was, on the one hand, the center of the textile industry. On the other hand, its agriculture was unable to produce sufficient food to feed its inhabitants because it had the highest density of population in the country and much of its cultivated acreage was occupied by cash crops, such as cotton and mulberries.[4] These structural features of the delta economy gave rise to a
[2] A few works may be cited: Han-sheng Chuan and Richard A. Kraus, Mid-Ch'ing Rice Markets and Trade: An Essay in Price History (Cambridge, Mass., 1975); Hwang Kuo-shu and Yeh-chien Wang, "Qingdai liangjia de changji biandong, 1763–1910," Jingji lunwen 9, no. 1 (March 1981): 1–27; Yeh-chien Wang, "Food Supply in Eighteenth-Century Fukien," Late Imperial China 7, no. 2 (December 1986): 80–117.
[3] Fan Baichuan, Zhongguo lunchuan hangyunye de xingqi (Chengdu, 1985), pp. 35–83.
[4] Cf. Yeh-chien Wang, "Food Supply and Grain Prices in the Yangtze Delta in the Eighteenth Century," Proceedings of the Second Conference on Modern Chinese Economic History (Taibei: Academia Sinica, 1989), pp. 424–27.

Map 1.1.
Grain Trade Routes in Qing China.
growing two-way traffic in which cotton cloth and silk, the staple products of the delta, were distributed to the rest of the country while surplus food from inland and the newly developed areas came to the delta for local consumption or for transshipment to other areas where food was also in short supply. In the latter part of the eighteenth century the annual volume of long-distance trade in rice down the Yangzi River to the delta was probably between 15 million and 20 million shi , of which 5–6 million was transshipped to North China and the southeast coast (including 3 million shi as grain tribute to the capital). In addition, around 15 million shi of soybeans, bean products, and a variety of grains and fruits was transported from Manchuria and North China to the delta via the coastal waters and the Grand Canal. Beyond this, grain trade across provincial borders in the rest of the country was, quantitatively speaking, insignificant.[5] It must be noted, furthermore, that grains and textiles formed an overwhelming proportion of commercial cargoes carried across provinces. Before the middle of the nineteenth century, those two categories, as estimated by Wu Chengming, accounted for 42 and 31 percent, respectively, of the total value of the seven major commodities that entered interregional trade.[6] As the principal supplier of textiles to, and the consumer of most of the surplus food from, other parts of the country, the delta inevitably assumed the central role in the domestic market.
In a study on food supply in the delta in the eighteenth century, I selected for observation and analysis rice prices for 1738–89 in Suzhou and Hangzhou, the most flourishing prefectures in the delta and two principal prefectures in the Lower Yangzi Region, in conjunction with Quanzhou Prefecture of the Southeast Coast, Hanyang Prefecture of the Middle Yangzi Region, Huaian Prefecture in North China, and Guangdong Province in the Lingnan Region. My findings lend strong support to the proposition that the delta had economic centrality. First, prices show a remarkable degree of synchronized movement across all of the five macroregions linked by the three major waterways. Second, a Pearson correlation analysis of the deseasonalized, decycled, and detrended prices in these regions gives coefficients that are all positive, most of them of relatively high value (0.6 and over), and degrees of association between Suzhou and the rest that are the most pronounced. Although the data are far from complete and perfect, this survey of the grain trade nationwide and of grain price movements in a large part of the country does indicate the central position Suzhou occupied in the country's grain market.[7]
Not only was Suzhou the national market for grain and textiles, it was also
[5] Wang Yejian (Wang Yeh-chien) and Hwang Guoshu (Hwang Kuo-shu), "Shiba shiji Zhongguo liangshi gongxu de kaocha" (Paper read at the Symposium on Rural Economy in Modern China, Taibei, Institute of Modern History, Academia Sinica, 1989).
[6] Wu Chengming, Zhongguo ziben , pp. 247–51.
[7] Wang, "Food Supply and Grain Prices," pp. 444–51.
the foremost emporium for many other commodities. In 1756, for example, Governor Gao Jin said in a memorial to the emperior that tung oil and black plums were produced in Huguang, white wax in Hunan and Guizhou, copper in Yunnan and Guangdong, coir fiber in Huguang, Jiangxi, and Zhejiang, and rattan in Guangdong. But all of these products were, he pointed out, shipped to Suzhou for distribution to other parts of the empire.[8]
In Table 1.1, I have compiled an annual price series for the delta from 1638 through 1935 by combining four shorter series as follows: a Shanghai series for 1638–95, a series for Suzhou City (the capital city of Suzhou Prefecture) covering 1696–1740, a Suzhou Prefecture series for 1741–1910, and a Shanghai series for 1911–35. There are, however, a number of years for which price data are missing. In such cases, I have filled out the missing data by extrapolation (marked with an asterisk in the third column); for the years 1862–64, when Suzhou was occupied by the Taiping rebels, I have used Shanghai prices.
The core of these data is the 170-year-long Suzhou Prefecture series plus the preceding Suzhou City series. Combined, these two series cover the entire Qing period except for the beginning decades. The data for the Suzhou City series are obtained from reports of governors and imperial commissioners of silk works residing in the city. Since the city was then the largest grain market in the country, to which early Manchu emperors paid close attention, more price reports came from there than elsewhere in the country. But it was not until the establishment of a nationwide grain-price-reporting system in the late 1730s that reports became regularly required of local administrations. Under this system, provincial authorities throughout the country were required to submit to the throne monthly reports on prices of major grains in every prefecture under their jurisdiction.[9] The Suzhou Prefecture series is based on these reports. My colleague and I have gathered 1,632 monthly reports for this period (1740–1910), of which 96 years are complete with 12 months of data, another 25 years with 11 months of data, and only 6 years without data at all (see column 3). Nonetheless, how reliable are these official data? Obviously we cannot proceed with our research unless we have some degree of confidence that they provide a good approximation of market prices.
For the present purpose of trend observation I shall employ two kinds of tests to evaluate the official data, first, to observe whether excessively high prices occur in, or are preceded by, years of major natural or man-made calamities in the area or other parts of the country and, second, to see whether the secular movements of prices as manifested in the official series
[8] Gongzhongdang Qianlongchao zouzhe (Taibei, 1979), 15:431.
[9] For monthly grain price reports, see James Lee, Cameron Campbell, and Guofu Tan, "Infanticide and Family Planning," in this collection.
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Fig. 1.1.
Rice Prices in the Yangzi Delta, 1638–1935 (taels per shi )
are in line with those exhibited in other price series for the area that are derived from different and yet reputable sources. As indicated in Table 1.1 and Figure 1.1, rice prices peaked in 1756, 1786, 1814–15, and the early 1860s. In 1755 heavy flooding afflicted the Lower Yangzi and Huai River valleys, and in 1785 a dreadful drought blanketed the Lower and Middle Yangzi Valley, the North China Plain, and Manchuria. In 1814 the country was hit by both—flooding in Zhejiang, Fujian, and Jiangxi and drought in Jiangsu, Anhui, Henan, Sichuan, and Shanxi.[10] Finally, it was at the height of the Taiping Rebellion (1850–64) that prices skyrocketed as never before in the Qing period.
In the fourth column of Table 1.1, I have assembled three more series of rice prices of shorter duration for Xiaoshan (a county in the neighborhood of Hangzhou), Changshu (a county in Suzhou Prefecture), and Shanghai. The Xiaoshan series for 1684–1802 is derived from the records of the Lai clan in the county; the Changshu series for 1836–1860 from casual notes of a local scholar; and the Shanghai series for 1862–1910 from the decennial reports of China's Maritime Customs. As shown in Figure 1.1, prices of these shorter series move mostly in step with those of the annual series. Moreover, the linear trends fitted respectively for the annual series and for the Xiaoshan series for a whole century (1684–1788) turn out to be virtually the same, that is, an increase at the rate of 0.0131 tael per year for the former series and 0.0136 for the latter. The same can be said of the annual series and the Maritime Customs series for the last three decades of the Qing period, with respective increases of 0.0848 and 0.0860 tael. There is, then, good reason to believe the general validity of official price data for the Qing so far as the secular trend is concerned.
For the last dozen years of the eighteenth century, however, the annual series and the Xiaoshan series diverge significantly from each other (see Fig. 1.1). I suspect that something went wrong with the price reports from Suzhou Prefecture for those years because they show a sudden and drastic decrease in the extent of price fluctuations compared with any period before or after. On the other hand, not only for Suzhou but also for many other prefectures in and out of Jiangsu, the movement of prices represents a V-shape between the mid-1780s and the early years of the nineteenth century and the trough in the Suzhou series appears to be among the deepest. I cannot at the moment give a satisfactory explanation for the divergence between the two series for this short period. Perhaps a real picture will emerge with the discovery of new data.
Of all the data in the annual series, those for 1911–35 are unquestionably
[10] Zhongguo jin wubainian hanlao fenbu tuji , comp. Zhongyang Qixiangju Qixiang Kexue Yenjiuyuan (Institute of Meteorology, the Central Bureau of Meteorology; Beijing; 1981), pp. 148, 163, 178.

Fig. 1.2.
Thirty-one-Year Moving Average of Rice Prices in the Yangzi Delta, 1638–1935 (taels per shi )
the most solid because they are compiled on the basis of price quotations in the Shen Bao and Xinwen Bao , two widely read newspapers in prewar Shanghai. The most rudimentary data are those for the seventeenth century, which are derived from random notes left by two contemporary local scholars. These notes do not have price entries for every year, and price data therein lack statistical uniformity in terms of product and date. Nonetheless, prices recorded by one scholar are highly consistent with those by the other. Moreover, virtually all peak prices noted by either of them coincide with years of calamities or come immediately afterward. All in all, while the quality of the four sets of data that form the annual series is uneven, the data are good enough to be taken as a general indicator of price trends in the market.
To better observe the broad trends of prices, I have, as did W. G. Hoskins for wheat prices in England, smoothed the annual series by using 31-year moving averages.[11] The results are rendered in column 5 of Table 1.1 and plotted in ratio scale in Figure 1.2. The smoothed averages fit the original series rather well. In view of the probable defects of the series for the last dozen years of the eighteenth century, which may have exerted an undue influence over the projection of the price trend, the shallow trough in the mid-1780s may well be nothing more than a statistical illusion. I have therefore smoothed it out freehand with a broken line. So modified, the figure shows prices to have moved in two broad swings over the three centuries. Beginning in the 1640s, the first swing headed steeply downward, reaching bottom in the early 1680s, then changed direction, rising at a modest rate for over a century to its peak around 1820. Then came the second swing. Prices descended gradually through the early 1850s and, after experiencing drastic fluctuations caused by the Taiping Rebellion and its aftermath in the third quarter of the nineteenth century, shot up in the early 1880s and kept rising through the 1920s.
As pointed out before, prices moved generally in a synchronized fashion in the Yangzi Delta and most other regions. Indeed, we can find few exceptions to the long inflationary trend in the eighteenth century, the slight downturn in the second quarter of the nineteenth century, and the half-century upswing before the Great Depression.[12] It may be worth noting that while broad trends in grain prices are also recognizable in premodern Europe, the turning points are much less uniform from one region to another. There were the well-observed Price Revolution in the sixteenth century, the fall of prices in the seventeenth, renewed inflation in the eighteenth. Nonetheless, the sixteenth-century inflationary period drew to an end between 1590 and 1600 in the south but between 1620 and 1640 in the north; and the seventeenth-
[11] W. G. Hoskins, "Harvest Fluctuations and English Economic History, 1480–1619," Agricultural History Review 12 (1964): 28–46.
[12] See also the other papers in Part 1 of this volume.
century deflationary period reached its nadir in the 1690s in Würzburg and Vienna but not until the 1730s and 1740s in England.
More interesting is the contrast in regional price differentials between the two continents. In the last half of the fifteenth century the western Mediterranean region led Europe with the highest prices, eastern Europe stood at the other end, and the northern and Atlantic regions fell in between. The ratio of wheat prices then was about 6 or 7 to 1 between the two extremes. A century later the gap was narrowed to 4 to 1 because of the growth of the grain trade on the Baltic, which brought more and more Polish wheat to the Mediterranean region. Even more remarkable was the development of the Atlantic trade in the next one and a half centuries. By 1700 the north (England, France, the Low Countries) had taken the economic leadership from the Mediterranean and turned itself into the region of expensive wheat. By the middle of the eighteenth century prices in most regions had, by and large, merged into one another, with a somewhat higher level in the north.[13] Europe thus became a highly integrated economy before the advent of the Industrial Revolution.
Early eighteenth-century China was, on the whole, comparable with Europe in terms of market integration. As shown in Map 1.2, in South China, where most people lived and where rice was the staple food, the Yangzi Delta (Suzhou and Hangzhou) had the highest prices, that is, about 1.5 taels per shi , around 1740. Next came neighboring Anhui and the southeastern coast of Fujian and Guangdong, where rice prices stayed at 1.0 taels or somewhat higher. The third region was the vast food-producing area of Sichuan, Huguang, and Guangxi, where rice was sold at around 0.8–0.9 tael per shi , the cheapest of all. The ratio between the highest and the lowest prices is 2 to 1 in the South. North China produced little rice, and most people there ate wheat, millet, and kaoliang instead. Almost all of the rice that the well-to-do consumed in the North was shipped from the South; its price was therefore much higher than in the South. Should the North be added as the fourth region for observation, the ratio between the highest and the lowest prices would increase to 3 to 1 (note that rice prices in the North vary from 1.8 taels in Xi'an to 2.4 taels in Jinan and Chengde).[14]
In the latter part of the nineteenth century, modern transportation, such as steamships and trains, was introduced into China. A narrowing of price
[13] For European prices, cf. F. P. Braudel and F. Spooner, "Prices in Europe from 1450 to 1750," The Cambridge Economic History of Europe , vol. 4, ed. E. E. Rich and C. H. Wilson (Cambridge, 1967), pp. 378–486.
[14] All price data come from the First Historical Archives in Beijing and the National Palace Museum in Taibei. The 1909 price for Guangzhou (2.30 taels per shi ) is apparently unreliable. Because Guangdong had become the province with the severest shortage in food supply, the Guangzhou price should be at least as high as the Quanzhou price. The 1909 price for Tianjin is unavailable; instead I give the price of top-grade rice in Beijing for the same year.

Map 1.2.
Rice Prices of Selected Prefectures in China, 1738–1740 and 1909 (taels per shi ).
differentials is observable, though the degree of uniformity was much less pronounced than in Europe on the eve of its industrial takeoff. Although in the latter half of the nineteenth century the highest prices still prevailed in the North, much change had occurred in the South. The Yangzi Delta, still the country's center of economic gravity, was superseded by the two southern coastal provinces of Fujian and Guangdong as the region of dear rice because the Taiping Rebellion took a heavy toll of lives in the delta. In the interior, Sichuan and Hubei became overpopulated, raising the price of rice, while Hunan, Anhui, and Jiangxi remained an area with large amounts of food for export. The ratio of prices between the two extremes stood at 1.5 to 1 in the South in 1909, or 2.3 to 1 if the North is included; both ratios are lower than around 1740. What this brief survey of price history suggests is that, given the inexpensive network of water transportation that radiated from the Yangzi Delta, China had a more integrated economy than Europe did in most of the seventeenth century. However, the emergence of the North Atlantic economy moved Europe along at an accelerated pace. By the middle of the eighteenth century the position of the two continents had been unequivocally reversed.
Economic historians consider population and the quantity of money to be the prime factors affecting the secular trend in prices. In addition, some scholars note the causal relationship between climatic changes and food supply, which may produce a significant impact on prices. We may observe these relationships with prices by the use of the well-known equation of exchange

where P stands for the price level, M for the stock of money, T for the volume of transactions, Y for real output, and Vt and Vy for transaction velocity and income velocity respectively. If T or Y increases with no change in the money stock or in velocity, P will decline. On the other hand, given T or Y , if MVt or MVy increases, P will rise.
What follows in this section is a historical review of the major variables—population, the stock of silver (the primary component of money for most of the period), and climate cycles—that, individually or in combination, may in large measure account for the two long price swings noted above. However, our present state of knowledge on any of the variables is so incomplete that most estimates are subject to a wide margin of error. Accordingly, any conclusions we may reach cannot but be tentative.
Population affects prices in a variety of ways. Malthusians have long stressed the imbalance between population growth and food supply. Since cultivated land cannot be expanded indefinitely, population growth will inevitably result in the decrease of per capita acreage. Increased input of labor and capital may raise the yields of land per hectare and thus compen-
sate for its shortage. Given the state of technology, however, the marginal productivity of land will eventually diminish. From then on, the food supply will not increase in proportion to population growth. Food prices cannot but rise; the level of general prices must rise too. On the other hand, not only does population increase mean more labor, but it may also contribute to capital formation and technological progress. At the same time, higher population density may stimulate an intensification of the marketing system, leading to crop specialization and division of labor and thereby raising agricultural productivity. Higher productivity means more abundant goods and services, which may in turn bring down the general level of prices.
Nonetheless, in a historical study of English population and prices Peter H. Lindert does find a strong correlation between the two prior to 1815, that is, before industrialization. Specifically, he observes that prices rose greatly in periods of rapid population growth (1526–1603 and 1760–1801) but climbed less or fell "in the period of less dramatic population increase between the early seventeenth century and the middle of the eighteenth." He offers two theories to explain how population growth affects prices. According to the first theory, rapid population growth may bring about a higher ratio of children to adults. With more children to support, a household generally has fewer savings. Lower savings relative to household income implies a greater demand for consumer goods and services relative to demand for money holdings, raising the price level. The second theory is what Lindert calls the "Goldstone variation." According to Jack A. Goldstone, population growth brings increased population density, urbanization, and specialization within agriculture. Monetized transactions will increase at the expense of production for home consumption. In an economy where the marketplace is underdeveloped, more frequent and smaller individual transactions should bring economies in the holding of cash, leading to a rise in the velocity of monetary circulation and higher prices.[15]
Despite the pioneer works of Ping-ti Ho and Dwight H. Perkins, the size of China's population before the 1953 census is still a matter of much debate. At the end of the sixteenth century the total number of people in the country was, according to Ho's estimate, around 150 million.[16] After studying the data on famine relief in Henan for 1593–94, Shu-yuen Yim concludes that official statistics on population are substantially understated and that the total population in the empire was no less than 200 million in 1600.[17] Mass uprisings and unprecedented droughts hit the greater part of the country in
[15] Peter H. Lindert, "English Population, Wages, and Prices, 1541–1913," Journal of Interdisciplinary History 15, no. 4 (Spring 1985): 609–34.
[16] Ping-ti Ho, Studies on the Population of China, 1368–1953 (Cambridge, Mass., 1959), p. 264.
[17] Shu-yuen Yim, "Famine Relief Statistics as a Guide to the Population of Sixteenth-Century China: A Case Study of Honan Province," Ch'ing-shih Wen-t'i 3, no. 9 (November 1978): 1–30.
the second quarter of the seventeenth century, causing a drastic decrease in population. Scholars are still far apart as to the extent of loss in lives during the time of the Ming-Qing transition. Estimates of the number of people at the beginning of the Manchu period vary from 70 million to 100–150 million,[18] though I am inclined to think that the upper range, or, say, 120 million, is probably a better approximation.
Following the Manchu conquest in 1644, political and economic order gradually returned. Before the pacification of the Three Feudatories and Taiwan in the early 1680s, however, bitter fighting continued in one part of the country after another because of Chinese resistance to foreign rule. Therefore, economic recovery proceeded slowly in the latter part of the seventeenth century. By 1700 China's population was most likely still quite below the level attained a century before, and perhaps something around 150 million is not far off the mark.
The eighteenth century is one of a few periods in Chinese history in which the country enjoyed prolonged peace and prosperity, and its population grew as never before. The baojia system for annual registration of population started in 1741 and was to last until 1850. Nevertheless, the statistics before 1776 are incomplete, and some of those close to the mid-nineteenth century are believed to be much inflated. We are left with only those for the last quarter of the eighteenth century and perhaps the first two decades of the nineteenth century that can be considered relatively reliable. According to official reports cited by Ho, the number of people totaled 353 million in 1820. By 1850 it had risen to 430 million. But, after a thorough investigation of the county data of Sichuan and a survey of apparently exaggerated figures for several other provinces, G. William Skinner concludes that China's population then was around 380 million instead.[19]
In the third quarter of the nineteenth century probably as many as 40 million people perished in the Taiping Rebellion and other social upheavals that devastated a large part of the empire and particularly the populous Lower Yangzi Valley. However, by the end of the century China had apparently regained the population lost several decades before. Despite political instability that characterized the last years of Manchu rule and the early Republican period, the country witnessed an expansion of population. In the early 1930s the total reached 500 million.[20]
It is interesting to note that grain price movements and population move-
[18] Dwight H. Perkins, Agricultural Development in China, 1368–1968 (Chicago, 1969), p. 216; Kang Chao, Man and Land in Chinese History (Stanford, 1986), p. 40.
[19] Ho, Studies on Population , pp. 281–82; G. William Skinner, "Sichuan's Population in the Nineteenth Century: Lessons from Disaggregated Data," Late Imperial China 8, no. 1 (June 1987): 68–76. In the light of Perkins's and Skinner's evaluations, official population data for the early nineteenth century are in all probability exaggerated.
[20] For the 1933 population, see Perkins, Agricultural Development , p. 16.
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ments in China appear to be in line with what Lindert finds in the English case. As shown in Table 1.2 and Figure 1.3, a fairly strong correlation between population and prices is observable over nearly three centuries. Moreover, periods of rising prices happened to be periods of relatively rapid population growth (the 1700s and 1880–1930), whereas downward movements in prices were mostly accompanied by slower or negative growth in population (1650–80, 1820–80).
China's monetary system in the Qing period was bimetallic, with silver and copper cash. Paper notes issued by native banks (qianzhuang ), pawnshops, and other merchants appeared in the late eighteenth century. After the Treaty of Nanjing (1842) foreign banknotes began to circulate in treaty ports. China established its first modern bank half a century later. Not until the early twentieth century did banknotes and demand deposits constitute the largest component of the money supply. To observe the possible relationship between the stock of money and prices, I have made an estimate of the total stock of silver, the most important monetary metal in China, for a number of years in the three centuries under study.
Although China did not possess rich silver mines, it was able to cope with the growing demand for specie by importing silver from abroad for most of the period. The arrival of Westerners in the Indian and Pacific oceans following the Great Discoveries opened a new era in relations between the East and

Fig. 1.3.
Trends of Population, Silver Stocks, and Rice Prices in China, 1650–1930
the West. Several Chinese products, such as silk, tea, and porcelain, were in great demand in Europe, America, and Japan, though manufactures from abroad struck little enthusiasm in the Middle Kingdom. Nor could the products—spices, ivory, sandalwood, etc.—from Southeast Asia, then under the domination of Western powers, offset the trade deficit incurred. To settle the balance, foreign merchants could offer only one thing, silver, that hardly any Chinese would refuse to accept. Meanwhile the discovery of rich silver mines in Japan, Peru, and Mexico provided a timely means of payment. Portuguese, Spanish, Dutch, British, and American, as well as Chinese, merchants all took part in this thriving trade, and large quantities of silver were thus brought into the country.
From the latter part of the nineteenth century China's economy was more closely integrated with the world market. When prices of silver were lower in the world market than in China, large amounts of specie would find their way through arbitrage into its trading ports, and vice versa. Since other countries had demonetized silver one after another, while China continued to use it as a medium of exchange and means of payment until 1935, it commanded a premium in the country for most of the period. The result is that China continued to be one of the largest recipients of silver even though it suffered a perennial trade deficit from the 1870s on.
How much silver did China possess over the three centuries under discussion? Let us begin with the most recent holdings. Eduard Kann, an expert on China's finance, estimated in early 1931 that there was about 2.5 billion ounces of silver in the country, including 1.7 billion in the form of silver dollars, sycee, and subsidiary coins and 0.8 billion in ornaments and household objects.[21] At the rate of 1.30 silver dollars or yuan to an ounce this would amount to 3,250 million yuan , which accords well with the Bank of China estimate in the early 1930s.[22] During the next five years, however, China incurred a net loss of 650–700 million yuan , largely because of the United States Silver Purchase Act. On the eve of China's monetary reform in early November 1935 its total silver stocks probably stood in the neighborhood of 2,600 million yuan .[23]
Between 1893 and 1930, according to Maritime Customs statistics, China
[21] Eduard Kann, "How Much Silver Is There in China?" Chinese Economic Journal 8, no. 4 (April 1931): 410–20.
[22] See Thomas G. Rawski, Economic Growth in Prewar China (Berkeley and Los Angeles, 1989), pp. 363–65.
[23] The net outflow through Maritime Customs amounted to 292 million Haikwan taels, or 456 million silver dollars, in 1931–35. In addition, somewhere between 225 million and 250 million yuan was smuggled out of the country in 1934–35. Liang-lin Hsiao, China's Foreign Trade Statistics, 1864–1949 (Cambridge, 1974), p. 129; Lin Weiying, Zhongguo zhi xinhuobi zhidu (Changsha, 1939), pp. 4–5; Yu Jieqiong, 1700–1937 nian Zhongguo yinhuo shuchuru de yige guji (Changsha, 1940), p. 3.
received from abroad 1,284 million silver yuan (823 million Haikwan taels).[24] Such being the case, it may not be far off to put the accumulated amount of specie at 1,900–2,000 million yuan at the end of the nineteenth century.
For earlier periods we are on a far less certain ground. In 1643 Jiang Chen, a scholar interested in fiscal and monetary matters, submitted to the falling Ming government a proposal for the adoption of paper money. He figured the total silver stocks then held in the private sector to be around 250 million taels, or 350 million yuan .[25] In an essay on the crisis of silver drain in the Daoguang period (1821–50), Taiping Shanren maintained that before the crisis unfolded, the country must have possessed something more than a billion silver yuan .[26] Both figures appear to be plausible.
In a broad survey of the influx of silver between the 1570s and 1830s Sun Yutang gives the following breakdown: 100 million silver yuan from the Spanish Philippines (1571–1821), over 500 million from England and other European countries (1700–1828), 100 million from the United States (1784–1833), and 140 million from Japan (seventeenth through early nineteenth centuries).[27] It should be pointed out, however, that the second item most probably includes amounts imported from the Philippines and the United States,[28] and so it should be revised downward to 300 million. According to Ch'üan Han-sheng, however, the total shipment from the Philippines during that same period was likely to have been 200 million or more instead of 100 million.[29] Moreover, there were fairly regular shipments of Japanese bullion in the latter part of the sixteenth century. A. Kobata notes, for instance, that the Portuguese carried 500,000–600,000 taels out of Japan annually to finance their trade with China.[30] Therefore, the silver inflow may reasonably be assumed to be around 800 million for the two and a half centuries in question.
Of the 800 million, how much was imported before the fall of the Ming dynasty in 1644? Liang Fangzhong estimates the amount at more than 100 million.[31] But Arai Hakuseki's study shows that Japan alone exported over
[24] Hsiao, China's Foreign Trade Statistics , pp. 128–29.
[25] Cited in Peng Xinwei, Zhongguo huobishi (Shanghai, 1965), p. 736.
[26] Taiping Shanren, "Daoguangchao yinhuang wenti," in Zhongguo jin sanbainian shehui jingjishi lunji (Hong Kong, 1974), 5:41–45.
[27] Sun Yutang, "Ming Qing shidai de baiyin neiliu yu fengjian shehui," Jinbu ribao , Feb. 3, 1951.
[28] Momose Hiromu, "Shindai ni okeru Supein doru no ryutsu," Shakai keizai shigaku 6, no. 2 (May 1936): 22.
[29] Quan Hansheng (Ch'üan Han-sheng), "Ming Qing jian Meizhou baiyin de shuru Zhongguo," in Zhongguo jingjishi luncong (Hong Kong, 1972), 1:435–50.
[30] A. Kobata, "The Production and Uses of Gold and Silver in Sixteenth- and Seventeenth-Century Japan," Economic History Review , 2d ser., 18, no. 2 (Nov. 1965): 245–66.
[31] Liang Fangzhong, "Mingdai guoji maoyi yu baiyin di shuchuru," Zhongguo shehui jingjishi jikan 6, no. 2 (Dec. 1939): 324.
100 million (748,000 kan ) in the first half of the seventeenth century, most of which ended up in China.[32] When the shipments from the Philippines between 1571 and 1644 and those from Japan before 1600 are added, the amount should, in the light of the foregoing discussion, be around 200 million instead.
While domestic production of silver played a secondary role in the supply of monetary metals, silver mining in Yunnan was in operation for most of the Ming-Qing period. Wei Yuan, one of the foremost scholars in the statecraft school and a keen observer of the nation's economy, wrote in 1842 that "of all silver stocks [in the country] 30–40 percent comes from mining and 60–70 percent from foreign vessels."[33] On the basis of his observation and the quantities of silver inflow, we may readily estimate the amount of bullion held in China to be in the range of 290–330 million silver yuan in the mid-seventeenth century and 1,140–1,330 million in the 1820s.
In the second quarter of the nineteenth century the balance of trade turned against China primarily because of the growing opium trade. According to H. B. Morse, there occurred a net drain of silver to the amount of 200 million yuan over the period.[34] On the eve of the Taiping Rebellion the country's holdings probably fell to the level of 900–1,100 million. In the latter half of the century, nonetheless, China resumed importing bullion from abroad. J. Laurence Laughlin notes that between 1852 and 1875 alone, at least 1 billion yuan of silver had been shipped from England and Mediterranean ports to India and the East.[35] So vast was the influx that China found its stocks of silver doubling in the half-century.
However rudimentary the estimate of silver stocks, the direction of change in the amount of bullion that China held over the three centuries is quite clear. We may, in light of the data presented in Table 1.2 and plotted in Figure 1.3, make two observations. First, not unlike prices and population, silver stocks in China generally followed a rising trend. Second, during the latter part of the seventeenth century and the second quarter of the nineteenth century, when the country's holdings of the white metal changed little or decreased, prices were on the decline. It appears, then, that silver stocks can serve as a crude indicator of the secular movements of prices.
To be sure, the stock of money included not only silver but also copper cash, paper notes, and, later, bank deposits. In the twentieth century, in particular, banknotes and bank deposits soon overtook silver as the dominant components of money. Nor did all silver stocks circulate as money; a
[32] Cited in Otake Fumio, "Min Shin jidai ni okeru gaikoku gin no ryunyu," in Kinsei Shina keizaishi kenkyu (Tokyo, 1942), p. 57.
[33] Wei Yuan, Shengwuji (1927), 14:33.
[34] Cited in Taiping Shanren, "Daoguangchao," pp. 45–46.
[35] J. Laurence Laughlin, The History of Bimetallism in the United States (New York, 1897), p. 125.
good part was hoarded in safes or underground or used for jewelry by the well-to-do. Therefore, other components of money as well as the velocity of circulation should, if possible, be taken into consideration when specific periods are examined.
Climatic conditions significantly affect the state of harvest and food supply. Various empirical studies show that relatively warmer temperature increases crop output by lengthening the growing season and by making uplands cultivable, and vice versa. Referring to sixteenth- and seventeenth-century Europe, for example, Andrew B. Appleby, G. Parker, and L. M. Smith suggest that a one-degree-centigrade decline in temperature will shorten the growing season by three to four weeks and is equivalent to raising land elevation by 500 feet.[36] A recent study by Wang Shaowu indicates, moreover, that low summer temperatures in a number of years between 1954 and 1976 reduced harvest yields by a third in Manchuria.[37] It was precisely because of concern for food supply in the empire that the Quing government required all local officials to submit regular weather reports along with reports on grain prices.
The degree of correlation between harvest yields and grain prices is nevertheless not so clear, because prices also depend on such other factors as access to food supply from other areas or from other parts of the world, grain storage, speculation, and government policy. To observe the possible relationships between climate, harvest yields, and secular prices, let us first look into climate cycles and harvest fluctuations in the delta over the centuries in question. Two groups of scientists in China have conducted original research on the long-term temperature changes in the Middle and Lower Yangzi Valley. One group, under the leadership of Zhang Peiyuan, has focused its attention on phenodata for the Qing period; the other, led by Yan Jiyuan, has made a historical investigation of the years when the Huangpu River and Lake Tai froze. They derived virtually the same climate cycles for the area.[38] Between the mid-1600s and the 1970s the country went through three long cycles. The cold period of the first cycle lasted through the first decade of the eighteenth century; the warm period that followed prevailed until 1780. The second cycle extended for almost a century (1781–1882), with 1830 as the turning point between the cold and warm periods. In the early 1870s another cycle started. It was also evenly split, with the 1920s as the transition years
[36] Andrew B. Appleby, "Epidemics and Famine in the Little Ice Age," Journal of Interdisciplinary History 10 (Spring 1980): 658; G. Parker and L. M. Smith, ed., The General Crisis of the Seventeenth Century (London, 1978), cited in Patrick G. Galloway, "Long-term Fluctuations in Climate and Population in the Preindustrial Era" (Paper read at the Ninth International Economic History Congress, Bern, Switzerland, 1986).
[37] Wang Shaowu, "Jin sibainian dongya de lengxia" (unpublished manuscript, 1988).
[38] Zhang Peiyuan, "Qingdai hannuan bianhua ji qi dui nongye de yingxiang" (Paper read at the Workshop on Qing Population History, Aug. 1985, California Institute of Technology, Pasadena, Calif.); Yan Jiyuan et al., "Changjiang sanjiaozhou de lengnuan tedian yu qushi zhanwang," in Quanguo qihou bianhua xueshu taolunhui wenji (Beijing, 1981), pp. 71–77.
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between the cold and warm periods (see Table 1.3). It is worthy of note that in the nineteenth and early twentieth centuries secular prices moved downward in the warm period (1831–72) but upward in the cold periods (1780–1830, 1873–1920), whereas the opposite is true in the seventeenth and eighteenth centuries.
I have not yet compiled data on harvest yields. In my study of grain prices in the Yangzi Delta, however, I do find a very strong association between harvest yields and grain prices. Over the half-century between 1738 and 1789 eleven cycles in both rice prices and wheat prices can be readily identified, and all peaks of these cycles occurred in years of crop failure or poor harvests caused by floods, droughts, or epidemics in the delta or in a large part of the country in the same year or the year before.[39] It is, however, another matter whether fluctuations in local harvests affect the secular movement of prices in an area with easy access to the food-exporting provinces of the country. We may take the deviations of annual prices from their trend values (31-year moving averages) as a measure of harvest fluctuations in the delta and then compare them with changes in secular prices. Assuming that years of normal harvests are those with rice prices within plus or minus 10 percent of the trend, that years of good harvests are those with prices 10 percent or more below the trend, and that years of deficient harvests are those with prices 10 percent or more above the trend, we find that years of good and normal
[39] Wang, "Food Supply and Grain Prices."
harvests outnumber years of poor harvests almost 4 to 1 and that average deviations are within the range for normal harvests for all periods (see the last four columns in Table 1.3). Accordingly, cyclical fluctuations in local harvests did not, in my judgment, have a significant impact on the long-term trends of prices, although grain prices were very sensitive to fluctuations in local harvests in the short run.
After reviewing the literature on population, silver stocks, and climate cycles, I can now offer some tentative explanations of the long-term trends of rice prices for the three centuries in question. The high level of prices at the time of the Ming-Qing transition clearly reflects the inflation and the shortage of food consequent to large-scale warfare and a series of natural catastrophes.[40] After the establishment of Manchu rule in 1644, peace and order were gradually restored in the country. Economic reconstruction followed, albeit slowly, with a concomitant improvement in the man-land ratio (depopulation had been drastic between 1600 and 1650). The supply of grain became plentiful relative to the demand for food, despite the cold climate that prevailed in the latter part of the seventeenth century.
During the same time the increase in the stock of money was at best moderate because the new Manchu regime imposed a total ban on coastal trade until the pacification of Taiwan in 1683. The shortage of exchange media received some relief, for the new government issued 1–2 million strings of copper cash annually between 1647–57; but the issuance was later progressively reduced to 200,000–300,000 strings a year.[41] The transaction velocity of money most probably fell after the decades-long inflationary spiral attending the demise of the Ming dynasty. When MV either decreased or remained rather stable and T expanded, prices could not but decline.
In the next phase of the price swing—from the early 1680s to 1820—silver stocks increased at an annual rate of about 0.9 percent, while the central government resumed the policy of expansion in the issuance of copper cash, which was facilitated by rising copper output from Yunnan. In 1724 the production from Yunnan copper mines was about 1 million catties; from the early 1740s through the first decade of the next century the annual output always went beyond the 10 million mark. Meanwhile, the quantity of cash issued by the two mints in the capital jumped from less than 0.5 million strings to well over 1 million a year, and counterfeit coins flooded a greater part of the country.[42] Furthermore, to put down the White Lotus Rebellion (1796–1804) the government spent 200 million taels, an amount equivalent
[40] Zhang Xiangong, "Zhongguo dongbanbu jin wubainian ganhan zhishu de fenxi," in Quanguo qihou bianhua , p. 48.
[41] Wang Yeh-chien, Zhongguo jindai huobi yu yinhang de yanjin, 1644–1937 (Taibei, 1981), p. 25.
[42] See Yeh-chien Wang, "Evolution of the Chinese Monetary System, 1644–1850," in Modern Chinese Economic History , ed. Chi-ming Hou and Tzong-shian Yu (Taibei, 1979), p. 442.
to its budget expenditures for six or seven years in normal times, which added greater inflationary pressure to the economy.[43]
During the period 1680–1820 China's population grew at 0.72 percent a year, the highest rate in the three centuries under discussion (see Table 1.2). Moreover, eighteenth-century China was a time not only of rapid population growth but also of unprecedented commercialization. Cash crops, such as cotton, mulberries, sugar cane, and tobacco, were planted more widely in various provinces. Markets and towns proliferated as never before.[44] These developments would most likely, in view of Lindert's analysis, noted above, lead to a rise in the velocity of money. Thus both the growth of the money supply and the growth of population were building up strong pressures for inflation. At the same time the cultivated acreage expanded by a half or so; new food crops (sweet potatoes, corn, and peanuts) were spreading, and double-cropping was increasingly practiced.[45] Given generally warm climate the agriculture sector also experienced rather vigorous growth. Without large increases of real output the rate of the price rise would have been much higher during the upswing, which lasted for more than a century.
The second price swing followed a generally downward trend from about 1820, but turned sharply upward in the early 1880s and continued to rise through the 1920s. We may divide the half-century of downswing into two subperiods, with 1850 at the dividing line. Before 1850 warmer climate in combination with the silver drain had the effect of depressing prices. But the money supply may not have decreased because of the multiplication of paper notes issued privately by local banks, money shops, and various commercial stores and because of the increase of copper cash by debasement and counterfeiting.[46] What was more likely to bring prices down was, besides warm climate, the possible decline in the velocity of monetary circulation caused by the apparent drop in the rate of population growth and by the increased holding of silver by the public. Before 1850 the value of silver appreciated steadily in relation to commodities and copper cash.[47] In the expectation that its value was to rise, "wealthy people and rich merchants are striving to hoard silver"; thus observed Bao Shichen, a contemporary scholar with a great interest in political economy.[48] Not only did the silver crisis slow down the velocity of circulation, but it also severely strained the issue of private notes. (Without central banking, private notes were backed by the credit of the individual issuing banks or by the merchants themselves.)
[43] Wei Yuan, Shengwuji , 10:16.
[44] See, for example, Liu Shiji, Ming Qing shidai Jiangnan shizhen yanjiu (Beijing, 1987).
[45] Perkins, Agricultural Development , chaps. 2–3; Yeh-chien Wang, Land Taxation in Imperial China, 1750–1911 (Cambridge, Mass., 1973), p. 7.
[46] See Wang, "Evolution of the Chinese Monetary System," pp. 425–52.
[47] Ibid.
[48] Bao Shichen, Anwu sizhong (1872), 26:8.
In the third quarter of the century mass uprisings took place in many parts of the country. Most virulent was the Taiping Rebellion, which lasted 15 years and devastated a large part of the Yangzi Valley, particularly the delta area. It cost the government more than 400 million taels to bring these peasant and minority revolts to an end.[49] Hyperinflation followed immediately, as is shown distinctly in Figure 1.2. But the war-induced inflation proved to be just an aberration, for the level of prices sank as quickly as it rose following the return of peace and order in one part of the country after another.
As in the late seventeenth century, economic reconstruction proceeded with an improved man-land ratio, but the pace of economic recovery was faster. For one thing, however ruinous were the mid-nineteenth-century uprisings, they were not accompanied by the natural calamities and the consequent famine that attended the fall of the Ming dynasty (the droughts that hit China four years in a row in 1641–44 were the worst in the last 500 years). For another, continued warm climate further aided agricultural production. Prices were going down as more and more land was brought back under cultivation and more irrigation works were restored or built.
Extending from the 1880s to 1920s, the second upswing was the most inflationary period of the three centuries. While rice prices rose annually at 0.7 percent in the first upswing, they ascended at the rate of 3.3 percent a year in the second (see Table 1.2). During the half-century before the Great Depression the money supply grew at a very rapid rate. In 1930 the total stock of money (currency and deposits) amounted to about 6 billion yuan , of which one sixth were metal currencies.[50] How much money was in circulation 50 years earlier? We can only hazard a guess. China's silver stocks then stood probably around 1.5–1.6 billion yuan (see Table 1.2). Assuming that a quarter of the silver was then in circulation and that the ratios of circulating silver stocks to copper cash and to paper notes were 2 to 1 and 5 to 1 respectively, the total amount of money in circulation would be in the range of 600–700 million silver yuan . It was probably not more than 800 million.[51] Accordingly, the money supply may have increased by eight to ten times, or at an annual rate of 4.2 percent to 4.7 percent in the half-century. Without doubt the accelerating growth of the money supply contributed significantly to the price inflation in the period.
On the other hand, the volume of transactions also grew at an unprecedented rate. The pace of commercialization sped up as the country was increasingly integrated with the world economy from the latter part of the
[49] Peng Zeyi, Shijiu shiji houban de Zhongguo caizheng yu jingji (Beijing, 1983), p. 136.
[50] Rawski, Economic Growth , p. 163.
[51] The ratios between the three components of money are quite close to Peng Xinwei's estimate for the last decades of the Qing period; see Peng Xinwei, Zhongguo huobishi , pp. 888–89. For the ratio of silver in circulation to its total stock, see Wang, Zhongguo jindai huobi , p. 35n.57.
nineteenth century on. Many local products, such as soybeans, straw mats, tung oil, and bristles, found their way into the world market. The introduction of steamships and railroads lowered the cost of transportation and also contributed greatly to market expansion. Consequently, China's trade, external as well as internal, experienced a rapid expansion. The Nankai indexes show that both imports and exports tripled in volume between 1881 and 1930.[52] The interprovincial trade in real terms was, according to Perkins's estimate, more than three times in the 1920s what it was in the late nineteenth century.[53] In view of these facts, a rate of growth in the volume of transactions of 2 percent a year is probably a good approximation. Then, the transaction velocity of money must, by implication, have risen annually by around 0.5–1.0 percent over the period.[54]
There is good reason to believe that the velocity of transactions rose in the latest phase of secular price movements. First, population increased almost as fast as in the eighteenth century. Since the proportion of self-consumed farm output still approached nearly a half of farm output in prewar China,[55] Goldstone's thesis is applicable, perhaps more than ever before. Second, the development of telegraph communication and modern banking, as well as the continued growth of native banks, greatly facilitated business transactions and thereby had the effect of allowing merchants to conduct their business with reduced holdings of cash.
To recapitulate, the secular movements of rice prices in the Yangzi Delta exhibit two long swings over the three centuries prior to World War II. Starting in the 1640s, prices followed a steep downward trend until the 1680s; afterward they moved up gradually, at 0.7 percent a year, to peak around 1820. The second swing went downward at first, for more than half a century. At the beginning of the 1880s it once again shifted direction, rising swiftly, at the rate of more than 3 percent a year, through 1930.
Given the fact that the delta occupied a position of economic centrality in the country, it is reasonable to regard the trends exhibited by the price series as reflecting supply and demand forces at work in the country. Population, the stock of money, and climate cycles are the three principal variables affecting the long-term trends. I found, among other things, that inflation was
[52] Hsiao, China's Foreign Trade Statistics , pp. 274–75.
[53] Perkins, Agricultural Development , pp. 119–24.
[54] According to Thomas G. Rawski, the income velocity declined by 32–46 percent between 1914–18 and 1934. I consider the transaction velocity a better measure of monetary circulation for the reason that nearly one-half of farm output was still self-consumed in prewar China. But as Michael D. Bordo and Lars Jonung point out in their study of secular trends in the velocity of circulation in various countries, a fall in income velocity may coincide with a rise in transaction velocity. See Rawski, Economic Growth , pp. 161–65; Bordo and Jonung, The Long-term Behavior of the Velocity of Circulation (Cambridge, 1987), chaps. 2–3.
[55] Buck, Chinese Farm Economy , p. 199.
nearly always accompanied by substantial expansion of the money supply, deflation by stagnation in monetary growth. The same was true for population. Rapid population growth appears to have contributed to inflation most likely because of changes in the age structure and because of the population-induced rise in the velocity of money. On the other hand, a decrease in population or a slowing down in its growth rate correlates strongly with deflation. Gradual changes in the climate probably helped moderate price inflation in the eighteenth century, pushing prices down in the nineteenth century and up in between; but the impact of falling temperatures on market transactions and hence on prices was neutralized or overbalanced by other factors in the latter part of the seventeenth century.
Two
Grain Prices in Zhili Province, 1736–1911: a Preliminary Study
Lillian M. Li
The recent availability of grain price data for the Qing period now provides historians with an unprecedented opportunity to develop their understanding of the agricultural economy of every region of China. This study represents a preliminary attempt to apply the Qing period grain price data to an ongoing study of agriculture, food crises, natural disasters, and government relief in North China.[1] This rich series of data allows us to gain insight into the nature of the agricultural regime in the North, the long-term trends in the agricultural economy, the nature of short-term changes, the economic and social impact of natural disasters, and the extent of market integration and development. Because this is a first attempt, the methodology employed is exploratory, and the conclusions drawn should be regarded as tentative. In the future, completion of the data set and refinement of the methodology may
Many people have given me invaluable assistance with this project. In particular I would like to acknowledge the substantial contribution made by Keith Head (Swarthmore, '86), who helped analyze these data during the summers of 1986 and 1987 with the support of the Joel Dean Fund of Swarthmore College. Gudmund Iversen, Professor of Statistics at Swarthmore, has been generous with his time and expertise. A number of other Swarthmore colleagues have also generously offered guidance or assistance: John Boccio, Stefano Fenoaltea, Robinson Hollister, Jody Ann Malsbury, Frederic Pryor, F. M. Scherer, and Leah Smith. Several Swarthmore students have diligently assisted in the entering of data or with graphics: Patrick Awuah, Donald McMinn, Karen Neumer, Bonnie Spear, and Paul Talcott. I have benefited greatly from the comments of both economists and historians who participated in the Workshop and Conference on Economic Methods for Chinese Historical Research, held in January 1987 in Honolulu, Hawaii, and January 1988 in Oracle, Arizona.
[1] This essay is part of a projected book on this region, Flood and Famine in China: State Policy and Ecological Disaster in the Hai River Basin, 1690s–1990s . The present study should be regarded as preliminary in part because the set of grain price data that I have collected thus far, though extensive, is still incomplete.
alter the conclusions, but in the interim these tentative results will, hopefully, generate some hypotheses for further analysis and research.
North China is the birthplace of China's civilization and the location of its imperial capitals throughout most of its history. Yet in recent centuries North China has also suffered unfavorable natural conditions and economic hardships. Unlike the fertile rice-growing regions of South China, the North practices mixed cultivation of dry-land grains under climatic conditions that have made the fate of each year's crop extremely uncertain.
Zhili Province (roughly equivalent to modern-day Hebei Province), the subject of this article, best embodies these contradictory characteristics. As the site of the imperial capital of Beijing since the thirteenth century, Zhili had economic advantages that derived more from its political centrality than from its natural resources. The emperors of the Qing dynasty (1644–1911), like their predecessors of the Yuan and Ming dynasties, sought to bring some of the material benefits of the South to the North. The Grand Canal was maintained specifically for the purpose of transporting rice and other products from the South to the capital. The grain tribute was intended to feed the court and officialdom, but it had the unintended consequence of linking the economies of North and South. It was the only significant North-South thoroughfare until railroads were introduced in the twentieth century. The strategic importance of Beijing also dictated that the court pay special attention to stocking both civilian and military granaries in the capital area as well as to the maintenance of the waterways in the province.
The care and protection of the Qing imperial court and its retainers took place, however, in the context of natural conditions that seem to have deteriorated through the centuries. The river system in particular has been a source of ongoing headaches. In ancient times many rivers flowed down from the Taihang mountain range, which forms a boundary between Zhili and Shanxi, its neighbor to the west. But the construction of the Yuan dynasty Grand Canal severed the normal channels of these waterways to the ocean, forcing them to flow into the canal itself. From that time on, the only outlet of five major waterways—the Bei, Yongding, Daqing, Ziya, and Nanyun rivers—was a single, short channel flowing from Tianjin to the ocean, known as the Hai River. This entire river system is known today as the Hai River Basin and is one of China's major river conservancy concerns.
Although smaller in scale, the Hai River Basin has many of the same characteristics as the larger Yellow River Basin, with which it became more closely linked after the Yellow River changed course in the 1850s to the north side of Shandong peninsula. Both have extremely shallow beds, which over the centuries have risen with increased siltation. In recent times deforestation in the mountains has accelerated the silting process. The control of these rivers requires intensive dredging, diking, and other engineering efforts. Over time, the vulnerability of these rivers to flooding has greatly increased, as has

Map 2.1.
Zhili Province in the Qing Period. Adapted from the end-map in Qingdai Haihe Luanhe honglao dang'an shiliao
(Beijing, 1981).
their tendency to waterlog the soil, particularly given the flat, even concave, topography of the land in their lower reaches.
The uneven pattern of rainfall in North China further contributes to the danger of flooding. Most of the annual rainfall in the region is concentrated in the summer months of July, August, and September. It does not take very much rain to cause the rivers to overflow. Ironically the danger of flooding occurs in the context of the overall scarcity of rainfall in the North. As a rule, drought is a more pervasive and potentially serious problem than flood, but it is the river system, the nature of the topography, and the soil that make flooding such a frequent danger and waterlogging a near-chronic condition in some low-lying areas.
Throughout the Qing dynasty, the court and bureaucracy paid close attention to the dual threats of flood and drought. In part this reflected a general bureaucratic concern with disaster prevention that was empirewide, but Zhili Province clearly posed special problems because of its political importance. The bureaucratic record reflects the tremendous concern of the court and officials with river conservancy and with the stocking of granaries to guard against shortages. In the eighteenth century these efforts appear to have been quite successful in both the prevention and relief of famines, but vigilance was constantly required. During the nineteenth century, however, especially from mid-century, either the efforts were less successful or nature was harder to control. Starting with the great drought of the 1870s, North China was periodically beset by one disaster after another until the 1960s. In the 1890s there was hardly a year in which flooding did not occur somewhere in this region. In 1917 there was a massive, provincewide flood, followed closely by the North China drought of 1920–21. Since 1949 the government of the People's Republic has assigned high priority to the management of land and water resources in the area. The sinking of tube wells for irrigation in many parts of the province has proceeded together with engineering projects to prevent the recurrence of major floods, such as that of 1963.
Despite this somewhat unstable context, North China in general, and Zhili/Hebei in particular, have been able to sustain a large population increase in the last two centuries. In 1749 the population of Zhili was reported to be about 14 million.[2] In 1790 the population was recorded as 23.5 million.
[2] This 1749 figure almost certainly represents an underestimate. Before the baojia system of population registration was reformed in 1775, underestimation was common. See Ping-ti Ho, Studies on the Population of China, 1368–1953 (Cambridge, Mass., 1959), pp. 36–48. Ho concludes that the population figures of the 1741–1775 period were on the average underestimated by 20 percent. By that formula, Zhili's 1749 population may have been close to 16.8 million. Zhili did not submit its first detailed population return under the reformed system until 1778. If Zhili's population was 16.8 million in 1749 and 23.5 million in 1790, it experienced a 40 percent increase over 41 years.
The rate of growth slackened in the next half-century; in 1850 the reported population was only 23.4 million. In 1933 Hebei's population was about 38.4 million, and in 1953, 46.6 million. In 1982 the population of the province, together with that of the independent municipalities of Beijing and Tianjin, was about 70 million.[3]
The history of the Zhili/Hebei area of North China poses questions of enormous consequence. How could this area maintain its political centrality for so many centuries despite a relatively weak economic base? How could substantial population growth be sustained in the face of what appear in the historical record to be frequent and regular occurrences of drought and flood?
The Price Data
During the Qing dynasty each provincial governor was required to submit to the throne a monthly report of grain prices in his province. This became a regular bureaucratic practice by the beginning of the Qianlong period in 1736. The Qing archives in Beijing and Taibei have a rather complete set of reports from Zhili for the eighteenth century and a more scattered sampling from the nineteenth century. I have collected approximately 609 of these monthly lists, including 233 monthly lists for 1738–64, 171 lists for 1765–95, and 205 lists for 1796–1910.[4]
In the first subperiod, 1738–64, the lists give the low and high prices of seven types of grain from each prefecture (fu ) or independent department (zhilizhou ) in the province: rice (daomi ), high-grade millet (shang sumi ), ordinary millet (cisumi or zhongsumi ), white wheat (baimai ), red wheat (hongmai ), black beans (heidou ), and sorghum, or kaoliang (gaoliang ). After 1765 only five grains were reported: millet (sumi ), sorghum (gaoliang ), a type of panicum millet (nimi ), wheat (mai ), and black beans (heidou ).[5]
Prices from seventeen prefectures or independent departments were reported by the governor-general of Zhili, although not all were reported in every period. Shuntian Prefecture (where Beijing was located) was not included until 1771. Chengde Prefecture was not included in the reports until
[3] The Qing figures are taken from Philip C. C. Huang, The Peasant Economy and Social Change in North China (Stanford, 1985), p. 322. The 1982 figure is reported in Judith Banister, China's Changing Population (Stanford, 1987), pp. 298–99, among other places.
[4] I am indebted to the staff of the Ming-Qing archives of the National Palace Museum in Taibei and the First Historical Archives in Beijing for allowing me access to these grain price lists.
[5] Sumi was Setaria italica , sometimes called foxtail millet, which was the most common type of millet grown in north China. Nimi was Panicum milaceum , sometimes called broomcorn millet. Heidou , lit. "black bean," was a type of soybean. See Francesca Bray, Agriculture , vol. 6, pt. 2 of Joseph Needham et al., Science and Civilization in China (Cambridge, Eng., 1984), pp. 434–48.
1778. From 1736–68, the prices for Baoding Prefecture, the location of the provincial capital, were reported a month in advance of the other provinces.
These grain price reports were submitted monthly, according to the Chinese lunar calendar—with intercalary months ("leap months") added from time to time to make the lunar year catch up to the solar year. Since any given lunar month might lag behind its corresponding solar month by up to two months, solar months might be more appropriate to use in studying the agricultural cycle. In this study lunar-month prices have been used where aggregated data for year or multiyear periods would cancel out the variations in the months. However, where seasonality is an important concern, data are converted to correspond with the solar months.
Agriculture and Food Availability in Zhili
As the above lists suggest, many grain crops were grown in Zhili. Although rice was the subject of experimentation in the early eighteenth century, it was never very widely grown.[6] Wheat was the luxury grain in the North. Planted in the fall, it was harvested the following summer. Millets of various types were the staple of the poor people's diet. Like sorghum, millet was planted in late spring and harvested in the fall. It was hardy, having a tolerance for heat and drought. Sorghum, on the other hand, was more flood-resistant. Less desirable than millet as a food, sorghum was also used in making wine, and its stalks were burned for fuel.
Other crops were important too. Black beans, reported in the Qing grain price reports, were used both as a feedgrain for horses and as food for humans. They also became a cash crop, used in the production of oil. In the twentieth century corn became a major food crop, but it is not at all clear how extensively it was grown in the Qing period. Finally, cotton was the most important nonfood commercial crop in Zhili in Qing and later times, but the extent of its cultivation before the twentieth century is a matter of some uncertainty.[7]
There were numerous cropping systems in North China, with great variation within regions. One system was a three crop rotation over two years. As Philip C. C. Huang describes it, sorghum and millet were planted in May or June and harvested in September or October. Wheat was planted in the fall and harvested in July, too late for the planting of sorghum or millet, so soy-
[6] See Timothy Brook, "The Spread of Rice Cultivation and Rice Technology into the Hebei Region in the Ming and Qing," in Explorations in the History of Science and Technology in China (Shanghai, 1982), pp. 659–89, for an exhaustive study of experimentation in rice cultivation in North China.
[7] Philip C. C. Huang, pp. 111–14, asserts that cotton cultivation was widespread in Zhili by the late Ming period, but others have disputed this. See, for example, Loren Brandt's review of Huang, Peasant Economy , in Economic Development and Cultural Change 35 (April 1987):670–82.
beans were planted for harvesting in October and November, after which the land would be left fallow. Other systems involved interplanting.[8]
It is not until the twentieth century that we have some idea of the acreage devoted to each of these major crops. John Lossing Buck's well-known 1929–33 farm study reports that in the winter wheat—kaoliang region, which included Hebei, wheat accounted for 45.5 percent of crop area, millet for 23.1 percent, sorghum for 18.5, corn for 16.3, soybeans for 13.4, and cotton for 8.6.[9] A survey conducted by Zhang Xinyi reports the following crop areas for Hebei in the 1930s: wheat, 31.3 million mu (28 percent), millet, 24.3 million mu (22 percent), sorghum, 21.7 million mu (20 percent), and corn, 15.5 million mu (14 percent). Beans (dadou ) accounted for 9.8 million mu (9 percent), and cotton for 8.1 million mu (7 percent).[10]
These two estimates are similar in that they show the primary importance of wheat, millet, and sorghum, in that order. There is, of course, every reason to believe that the situation in the Qing period differed in significant ways. Corn almost certainly played a lesser role, and perhaps the proportions of wheat, millet, and sorghum were different from the twentieth century. Unless further research uncovers new sources, it is unlikely that we shall ever have an exact picture of the production of these crops during the Qing period, but this general picture of the relative importance of these crops is unlikely to be changed.
This study analyzes the prices of three of the grains reported in the Qing memorials—wheat, millet (sumi or setaria millet), and sorghum—because of their centrality in the agriculture and the diet of the North. Black beans probably did not constitute a significant portion of the caloric content of the average diet. Panicum millet and rice were unlikely to have been of critical importance either.
Two additional factors probably influenced the price structure, although they were exogenous to Zhili's agricultural production. First, a significant portion of the grain consumed in Zhili during the Qing was not grown in the province but was imported from the South through the grain tribute system. During the Qing, 3–4 million shi of grain were transported annually to the metropolitan area.[11] Most of this was destined for the consumption of the court, bannermen, and soldiers stationed in the province. But it is quite likely
[8] Philip C. C. Huang, Peasant Economy , p. 61.
[9] John Lossing Buck, Land Utilization in China (Chicago and Nanking, 1937; repr. New York, 1956), 1:211–12. Because there was some double cropping, the percentages exceed 100.
[10] Cited in Shina nogyo kiso tokei shiryo , comp. comp. Toa kenkyujo (Shanghai, 1941), 1:41–43.
[11] The shi was a measure of grain volume. According to an authoritative estimate, "the likely weight of an imperial shih [shi ] of milled rice in the eighteenth century was about 185 pounds, with a margin of error unlikely to have been more than 5 percent either way (that is, the likely range was roughly 175 to 195 pounds)." Han-sheng Chuan and Richard A. Kraus, Mid-Ch'ing Rice Markets and Trade: An Essay in Price History (Cambridge, Mass., 1975), p. 98.
that some quantity of grain reached the market, through either direct or indirect sales. Pierre-Etienne Will has estimated that 0.5 million shi a year was not used for direct consumption in Beijing.[12] Whether this amount was sufficient to have an impact on general grain price levels is not clear, and is a matter that deserves further investigation.
The second factor was an extensive state granary system, which flourished in the eighteenth century. The system included three types of granaries: the "ever-normal" granaries, the community granaries, and the charity granaries. During the eighteenth century these granaries were well stocked. In 1767, for example, the governor-general of the province reported that 3,534,536 shi of grain were actually stored in the province, 2,549,566 shi of which were in the ever-normal granaries.[13] By the nineteenth century, however, all granary holdings were down, especially those of the ever-normal granaries. In 1833, for example, the governor-general reported holdings of only about 616,000 shi , of which 275,719 shi were held in ever-normal granaries.[14]
Long-Term Trends
The Zhili price series affords an important opportunity to learn about the long-term behavior of prices over two centuries. This is important not only because of its relevance to a study of Zhili's economy in particular but also because it can serve as a general indicator of overall economic trends in North China. The price trend of these three major grains has several major characteristics. As Figure 2.1 shows, the overall price rise from 1738 to 1910 was not steep. During the eighteenth century prices rose very gradually. In the early part of the nineteenth century, there was a sharp increase in the price of wheat, followed by rises in the prices of millet and sorghum. From the 1830s to 1850, roughly during the Daoguang reign, prices fell precipitously, only to climb back up by 1870 and fall again. From 1890, prices rose steeply and steadily until the end of the dynasty. When these same prices, again grouped by four-year averages, are indexed to their base-period (1738–41) prices, the trends can be seen more clearly, as in Figure 2.2. At the end of the eighteenth century, the prices of wheat, millet, and sorghum were respectively only 134 percent, 122 percent, and 133 percent of the base-period prices. By the end of the dynasty, the three grains had risen to 258 percent, 243 percent, and 272
[12] Pierre-Etienne Will, Bureaucratie et famine en Chine au 18e siècle (Paris, 1980), pp. 241–44. Will points out that tribute grain surpluses were rarely used outside Zhili.
[13] Gongzhongdang, Palace Memorial Archives (Taibei), Qianlong 023616, 1767/12/12. These figures represent the actual holdings at the time of the report; the theoretical holdings, which took into account amounts loaned out but not yet paid back to the granaries, were larger.
[14] Junjidang, Grand Council Archives (Beijing), Daoguang 63339, 1833/4. These figures represent actual, not theoretical, holdings.

Fig. 2.1.
Grain Prices in Zhili Province, 1738–1910 (four-year averages, in tales per shi )
Note: See text for a description of the data used in this study. In Figs. 2.1, 2.2, and 2.4, there is a substantial amount of
missing data for the nineteenth century.

Fig. 2.2
Grain Prices in Zhili Province, 1738–1910: Indexed to the Base Period (four year averages; 1738–1741 = 100)

Fig. 2.3.
Annual Grain Prices in Zhili Province, 1738–1806 (taels per shi )
percent of the base-period prices respectively, but if the final two decades of the dynasty are omitted, the increases are only 146 percent, 155 percent, and 165 percent respectively of the base-period price.
To show more clearly what the annual trends looked like, in Figure 2.3 I present the annual averages (unadjusted) for 1738–1806.[15] Here once again it is apparent that the trend for the eighteenth century was not very steep and that there seem to be cycles of about four to five years for millet and sorghum and possibly longer cycles in the price of wheat. Further, it appears that the prices of all three grains followed roughly the same trend, but there was at least one period—in the 1740s—in which the rise in the price of wheat was not accompanied by a rise in the prices of the coarse grains. A contrary trend is seen in the early 1760s, when a rise in the prices of the coarse grains was not accompanied by a continuous rise in the price of wheat.
[15] Only the eighteenth century is presented because that is the century for which the data are most complete. In this essay I have used the mean of the high and low prices reported from each prefecture each month. In analyzing the high and low prices separately, I found that their behavior generally followed the same pattern. This was true of all three grains. There seemed, then, little point in studying either high or low prices separately, particularly in a preliminary study.
The adjustment of annual averages to account for the seasonal variations in the missing data presents a greater challenge. Although it would be preferable to adjust the annual averages, in fact each possible procedure for adjustment produces its own problems. One way is to estimate, or "predict," missing data by using all the known data in combination with the seasonal coefficients produced by the regression equation discussed in the next section. Another method is to adjust each known piece of data by its relevant monthly coefficient. This creates not an annual average but an estimated January price based on all known data. Until a more accurate method of adjusting data can be found, however, leaving the data unadjusted does not, I believe, produce large distortions, because the annual seasonal range of prices in Zhili was not more than 0.14 tael in the extreme case of wheat (from a high of +0.08 taels in April to a low of -0.06 taels in September in the regression on data excluding Baoding, as presented in Table 2.1). For example, in 1740, a year for which there are no missing data, the mean price was 1.38 taels. If data were missing for the three low-price months of July, August, and September, the unadjusted mean of the other nine months of data would be 1.40, a distortion of only 0.02 tael, or 1.4 percent. If I use the regression coefficients to estimate the missing data, the annual mean would come to 1.39. The difference between adjusting or not adjusting the data is only 0.01 tael, or less than 1 percent of the actual mean price of 1.38. This example presents one of the worst possible cases since the mean price was rather low in comparison to the rest of the period 1738–1910. In a year when the prices were relatively high—over 2.50 taels, for example—the use of a seasonal coefficient would tend to underestimate the missing data (e.g., 0.06 tael would make less difference). The only time that a larger distortion might be introduced by not adjusting the data would be in a crisis year for which we have only one month of data in the early part of the year not yet affected by the crisis. In such a case, the price level would be very much underestimated. If, instead of "predicting" the price where data are missing, we use the seasonal coefficients to adjust the known data, the result in this example would be 1.37, only 0.01 less than the actual mean price. The fact that this hypothetical January price is close to the mean is somewhat accidental; the actual January price for that year was 1.42, which reflects the fact that the previous year was a crisis year (see n. 21 below) and that the price of wheat was abnormally high in the winter months.

Fig. 2.4.
Prices of Coarse Grains Relative to Wheat in Zhili Province, 1738–1910 (5-year averages; price = % of wheat price in
concurrent period)
On the whole these graphs show that the prices of millet and sorghum followed each other very closely, with sorghum consistently being the cheaper of the two. Although millet was a less desirable grain than wheat, the figures show that there were years when its price approached that of wheat (and even exceeded it in the early 1760s, early 1780s, and early 1800s). Figure 2.4 charts the five-year averages of millet, sorghum, and black bean prices as a percentage of wheat price averages for the concurrent periods. This shows more clearly the few periods in which millet prices exceeded those of wheat (around 1760, 1800, 1870, and 1890). And it also shows that while millet, sorghum, and black bean prices maintained a spread in the eighteenth century, during the next century the price of black beans relative to wheat and millet steadily increased.
These trends suggest certain hypotheses about the roles played by these commodities in Zhili's agricultural markets. First, the generally higher price of wheat confirms that it was the luxury grain and suggests the possibility that its markets were relatively well developed. Second, the price trends of millet and sorghum seem to parallel each other, suggesting that they were responding to the same cropping cycle and weather patterns. On the other hand, millet's consistently higher price confirms our impressions from the twentieth century that millet was the staple grain and was valued more highly than sorghum. However, the fact that millet prices occasionally reached, and even surpassed, those of wheat raises the question of the extent to which it was a commercialized agricultural commodity and the extent to which it was considered a substitute for wheat. Finally, the price of black beans rose relative to wheat prices in a clear secular trend, probably because of a growing nationwide, perhaps even international, market for bean oil and other bean products produced primarily in Manchuria but also in North China.[16]
Regression Analysis
At any given month, the price of grain may have reflected not only the long-term price trend but also a place in the seasonal cycle, the impact of any irregularities in the weather that would affect output, as well as any exogenous factors affecting demand. To permit us to estimate, and separate out, the effects of time, seasonal variation, and crisis years on grain prices, a multiple regression of prices was run using the following equation:

[16] The extent to which Zhili/Hebei was involved in this industry is a subject that awaits further research. Certainly in the twentieth century one of Manchuria's principal industries and export commodities was soybean oil and other soybean products. See, for example, Lien-en Tsao, "The Marketing of Soya Beans and Bean Oil," Chinese Economic Journal 7, no. 3 (Sept. 1930): 941–71.
Here the price in any given month (P ) is measured by a constant (a ), plus a coefficient (b ) multiplied by time (T ), plus dummy variables (d ) that are created for every month (M ) except January and another dummy variable created for crisis years (C ). The dummy variable C is entered as a l in a crisis year and as a 0 in noncrisis years.[17]
Since one of the purposes of this regression is to measure the effect of seasonality, all data used in the analysis were converted to solar prices using a method that weights the price by the number of appropriate lunar days in each solar month.[18] Since prices for Baoding, the seat of the provincial capital, were routinely reported a month in advance of prices from other prefectures during 1736–68, a period that represents 44 percent of my data (268 out of 609 monthly reports), I also ran the regression with Baoding prices excluded lest the months for which there are only Baoding prices unduly affect the results.[19]
The most problematic decision in setting up this regression concerned the crisis years. Although it would be ideal to use meteorological data (temperature and rainfall) to code years of crisis, I do not yet have access to such data. In their absence, I am forced to rely on reports of crises found in the historical records. Since such data represent the human (social and political) impact of natural disasters as seen through administrative lenses, they must necessarily have their limitations. The historical record itself is necessarily subjective, and our access to it is also incomplete, a function of what documents have survived in which collections and archives. In this regression analysis I selected as crisis years those years recorded in Qingdai Haihe Luanhe honglao dang'an shiliao[20] as having floods that affected 50 counties (xian ) or more. Although this compilation itself may be flawed, it is drawn from a survey of local gazetteers. In addition I selected from miscellaneous records at my
[17] This regression equation was also run with T as a variable to see if there were perhaps a nonlinear relationship between time and price. The results were not statistically significant (t < 2), and overall did not produce a better R , and so we concluded that there is not a second-order relationship between time and price.
[18] I am very grateful to Peter C. Perdue for providing the complex formula and table by which the lunar data have been converted to solar data and to Keith Head, who wrote the program that adapted this table to my data.
[19] For example, the price list submitted by the Zhili governor-general reporting prices for the third lunar month included the fourth-month prices for Baoding Prefecture, presumably because these local prices were already available to him by the time he received the third-month prices from the outlying prefectures. Consequently, if I have the third-month provincial report but am missing the fourth-month provincial report, the Baoding price is the only one I have for the fourth month and the provincial average in fact represents only Baoding. Because there is reason to think that prices behaved differently in the capital, I have thought it wise to run the regression both with and without Baoding prices.
[20] Qingdai Haihe Luanhe honglao dang'an shiliao (Beijing, 1981).
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disposal years in which 25 or more counties were affected by drought. This combined method yielded 54 years that were coded as crisis years.[21]
When the regression was run for 1738–1910, with Baoding prices excluded, the results (see Table 2.1) showed that the effect of time was 0.0059, 0.0061, and 0.0045 taels for wheat, millet, and sorghum respectively, meaning that for each year, the price increased by this amount for each grain. These increases confirm the impression, derived from Figure 2.1, that the inflationary trend was not very steep or significant over this long time period.
The regression results show the monthly variation of prices, using January as the base month. The results, graphed in Figure 2.5, show the effect of the multiple-crop system of Zhili. Wheat prices reached their peak in April but did not reach their lowest point until September—somewhat surprisingly, since the wheat harvest took place around July. Millet and sorghum prices, however, peaked in June, July, and August, from which point they fell until
[21] 1738, 1739, 1743, 1744, 1747, 1750, 1759, 1761, 1762, 1771, 1780, 1790, 1794, 1801, 1806, 1808, 1810, 1813, 1814, 1816, 1819, 1820, 1822, 1823, 1830, 1832, 1834, 1835, 1839, 1840, 1855, 1871–73, 1876, 1877, 1879, 1882, 1883, 1886–90, 1892–1900, and 1908. Of course, I lack price data for many of these years.

Fig. 2.5.
Seasonal Variation of Grain Prices in Zhili Province (Excluding Baoding), 1738–1910 (difference from January
price, in taels per shi )
the end of the year, with a brief jump in October. The prices of all three grains rose steadily through the early months of the year. But if Baoding is included, as in Figure 2.6, there is a smoother descent for wheat in the fall, but in October, wheat, millet, and sorghum prices peak briefly. If Baoding is included and only eighteenth-century data are analyzed, the shape of the seasonal curves is smoother, with the annual low price for wheat and the high prices for millet and sorghum all occurring in August. Preliminary analysis of price data separately for each prefecture shows that the exact patterns of seasonality vary slightly from place to place but fall within a general pattern.
The regression coefficients also vary when either eighteenth-century data or nineteenth-century data are used alone. Although the greater quantity and likely higher quality of the eighteenth-century data would suggest that its regression results would be more significant, in fact the R2 —a measure of the amount of variation in price explained by the regression as a whole—is considerably higher when both centuries of data are used together.[22] When a Chow test—a measure of the extent to which two samples may affect the regression results—was run on these regressions, no significant difference was found between the two centuries of data.[23] Consequently, the results of the regression run on both centuries of data are used throughout this paper.
These sets of monthly coefficients present several puzzles. Why does the annual low price for wheat come so much later than its presumed harvest-time? Why do the prices of sorghum and millet jump around in the autumn and early winter? Why does the seasonal pattern seem to vary depending on the time period and the number of prefectures included?
One possible explanation may be that seasonal patterns do differ from one area to another. In Buck's survey, the price of wheat in the wheat-kaoliang area was highest in January–February, and lowest in May–June. Millet had its high price in May–June and its low price in November.[24] But another 1930s study of prices in Zhengding, Hebei, found that the annual high price for wheat was in April, and the low price followed immediately in May, while the high price of millet was in June–July, and the low immediately afterward, in August–September.[25]
[22] Running the regression on either eighteenth- or nineteenth-century data alone produced much lower R s than using two centuries of data together. For wheat, for example, the R is 0.4859 for both centuries together, 0.2029 for the eighteenth century, and 0.1662 for the nineteenth century. These differences are undoubtedly due to the strength of the time trend, which is by far the most significant variable in any of these regressions.
[23] The Chow test was developed by Gregory C. Chow, "Tests of Equality between Sets of Coefficients in Two Linear Regressions," Econometrica 28, no. 3 (July 1960):591–605. I am grateful to F. Michael Scherer, formerly of the Economics Department at Swarthmore College, for his help with this test. In F-ratio was insighnificant for both wheat and millet (0.83 and 0.63, respectively) and marginally significant for sorghum (1.80).
[24] Buck, Land Utilization in China , 1:335–36.
[25] "The Seasonal Variation of Prices for Farm Products and the Profitability of Storage," Economic Facts , no. 7 (October 1937):319–42.

Fig. 2.6.
Seasonal Variation of Grain Prices in Zhili Province (Including Baoding), 1738–1910 (difference from January price,
in taels per shi )
The irregularities in the autumn prices could also be explained by deliveries of grain tribute to the province, which occurred before winter, or alternatively by the restocking of granaries, which was also done in the autumn. Since it was mostly unhusked millet that was stored (because wheat spoils too quickly), post-harvest prices may have risen a bit before falling to their annual low at the end of the year.[26]
Although the precise effects of seasonality seem to differ according to the way the regression is run, the overall pattern is clear. Moreover, the regression analysis reveals that the effect of seasonality was less important than the effect of crises.[27] The spread of prices within each year was less than 0.14 tael for wheat and less than 0.11 tael for millet and sorghum, no matter which way the regression is run.
Although regression analysis is a sophisticated tool for measuring the separate effects of different variables on price, it has its limitations. For the purposes of this grain price analysis, it can give us a good measure of the factors in price variability, but it is sensitive to differences in time and space and therefore cannot be absolutely accurate. It must be used as an approximate tool, not a precise measure. In future work, more accurate specification of crisis years, more complete data, and work with disaggregated, prefectural data may produce more satisfactory results. Still, these preliminary results do inspire some confidence. Although the t -value for each of the monthly coefficients tends to be under 2, in using descriptive data, as opposed to sampling, t -values are not relevant. Moreover, the R2 s achieved here are not poor, and the F -values are so large that the overall strength of the regression variables can be seen to be very substantial.[28]
Crises
One purpose of the regression analysis is to try to measure the effect of crises on price levels. The regression analysis for 1738–1910 suggests that the effect of a crisis year was, on the whole, not very dramatic. The inclusion of Baoding data raises the effect slightly (see Table 2.1). A separate regression run solely on Baoding data results in higher crisis coefficients. Moreover, if the
[26] Pierre-Etienne Will and R. Bin Wong, Nourish the People: The State Civilian Granary System in China, 1650–1850 (Ann Arbor, 1991), manuscript pp. 5, 132. Thirty percent of the granary stock was supposed to be sold off each year and replaced.
[27] This impression was confirmed when the regression was run with only the monthly dummies as variables. The resulting R s were astonishingly low: 0.0099, 0.0129, and 0.0189 for the three grains, respectively. Running the regression with interaction variables (C * M , C *T , etc.) also produced very low R s showing that a nonlinear relationship was not a better explanation for the behavior of prices.
[28] Concerning these and other statistical problems, I am grateful to Gudmund Iversen, professor of statistics at Swarthmore College, for his judgment and invaluable suggestions.
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monthly price data are divided into a "crop year," from July to the end of June, the effect of crises is seen to be far higher for the coarse grains but slightly lower for wheat. Table 2.2 summarizes the coefficients generated in these various ways. In all cases the R2 s are very similar, as are the coefficients for time. The monthly coefficients vary, but are within two standard errors of zero.
Dividing the year at July generates a higher coefficient for the crisis variable, because a crop year more closely approximates the seasonal weather pattern in the North. Since July and August are the months of greatest annual rainfall, droughts and floods have their first impact in the second half of the year and the next winter. They affect the coarse grains first. Although sorghum is known to be flood-resistant, its price seems to be the most differentially affected by the use of this technique. Overall, however, the price of millet was the most affected in a year of crisis.
The fact that Baoding prices were more affected by crises than prices in the rest of the province raises some interesting questions. As the seat of the provincial capital, Baoding Prefecture might be expected to have higher prices than outlying prefectures because of a stronger demand for grains. Its wheat prices were much more affected by crises than wheat prices in the rest of the province, suggesting a stronger demand for the luxury grain in the capital than elsewhere.
Tables 2.3, 2.4, and 2.5 attempt to evaluate the effect of natural disasters on grain prices in three crisis periods.[29] The tables compare the actual prices of the three grains with their predicted prices (for a noncrisis year), calculated with the regression coefficients presented in Table 2.1, using data for 1738–1910 but excluding Baoding.
[29] The period 1743–44 was chosen because it is a well-studied drought, the periods 1762–63 and 1775–76 because the data were relatively complete. Although 1775–76 is identified in documentary sources as a drought period, these years are not coded as crisis years in the regression analysis (see n. 21 above) because fewer than 25 counties were apparently affected.

Time is the year minus 1738. Each case study covers the two calendar years that include the period of crisis.
In 1743–44 Zhili experienced a drought. As Table 2.3 shows, the actual prices of all three grains at the beginning of 1743 were below the predicted prices, particularly so for millet and sorghum. However, by May and June, when wheat prices should have fallen, they instead continued to rise, reflecting a poor harvest or an impending harvest. Although the data for the key months of the crisis, from summer 1743 to summer 1744, are missing, we can see that by July 1744 the prices of wheat and millet had risen 0.20 tael above the predicted price, and the price of sorghum, 0.15 tael. By the end of the calendar year, however, the price of wheat was almost down to the predicted level, and the prices of millet and sorghum had fallen to well below the predicted prices.
Although the actual prices at their peak reflected the impact of the drought more than the crisis coefficients of 0.06, 0.06, and 0.01 predicted they would, nevertheless it can certainly be concluded that the overall impact of the drought was rather limited in magnitude and duration. This substantiates to a considerable degree the picture of this crisis drawn by Pierre-Etienne Will.[30] First, the impact of the drought, according to the historical record, was limited to 27 counties, primarily in four prefectures. Second, these counties were the recipients of massive amounts of government relief, deployed from several sources, most notably the state granaries in Tongzhou. The grain prices in these prefectures taken separately show no difference from the provincial trends. The famine relief campaign mounted by the government was truly a model effort, and the price history seems to show that the efforts of the Qing officials were well rewarded.
Table 2.4 presents the predicted and actual prices during and after a flood in 1775, which had been preceded by a drought in 1774, to show what the conditions were in a crisis where the government may have played a less active role. In this case, it appears that wheat prices were the most seriously affected. By September 1775 wheat prices were 0.20 tael above the predicted price, and prices stayed high until June, when an apparently successful harvest sent prices tumbling down to well under their predicted or normal levels. Millet prices were close to their normal levels in the spring and summer of 1775, while sorghum prices rose 0.10 tael or slightly more. But after the fall 1775 harvest, which does not seem to have been much affected by the flood, both millet and sorghum prices fell and stayed below their predicted levels in 1776. So the main impact of the crisis fell on wheat, and as in 1743–44, the impact was limited in magnitude and duration.
[30] See Will, Bureaucratie et Famine .
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In Table 2.5 the data for the latter part of the 1761–63 flood crisis are presented. According to documentary evidence, this flood affected 53 counties in the Hai River Basin. By the beginning of 1762, prices were considerably higher than normal for all three grains. With the exception of a brief dip in June 1762, wheat prices kept climbing, reaching a level about 0.21 tael above normal in March–April 1763, after which prices began to come down, reaching their normal levels by the end of the year. Millet was the most severely affected of all the grains. Its price kept climbing until winter 1762–63, when it was more than 0.60 above normal. Its prices remained high during the year. Sorghum prices also reached a level of about 0.40–0.46 above their predicted prices in January–April 1763.
As both Table 2.5 and Figure 2.3 show, this flood marked one of the few times in the Qing period when the price of millet actually exceeded the price of wheat. In an extensive flood, property is damaged and recovery may take a longer time than after a drought. The data in this case certainly show a greater impact and a much slower recovery than do the data in the two cases involving drought. These results suggest a hypothesis for future investigation, namely, that floods in the Qing period had a more pronounced effect on prices than droughts did.
On the whole, however, these three cases show that the impact of crises in the eighteenth century was relatively moderate, especially in comparison with the staggering price increases of other well-documented world famines, or even late-nineteenth- or twentieth-century famines in China. According to Andrew B. Appleby, grain prices in French subsistence crises of the seventeenth and early eighteenth centuries rose to three or four times their normal levels.[31] In Zhili, in the eighteenth century at least, prices were not generally affected more than 10–20 percent; prices rose just over 40 percent for millet in 1762–63, the worst case seen so far.
Appleby also argues that the English mixed farming system, with animal husbandry and multiple grains, worked to minimize the effects of shortages because people could choose to eat inferior grains, usually reserved for livestock, instead of wheat, the preferred grain—eating down the food chain, so to speak. In Zhili the grain prices maintained a separation from each other, except in the 1761–63 flood, when millet prices reached and then exceeded those of wheat. Separation of prices suggests either that the markets were indeed separate, and there was little substitutability in crisis times, or else that there really was not a crisis, because there was no need for substitution. In a real crisis people become unable, or unwilling, to pay the exorbitant price of an expensive grain and therefore substitute an inferior grain, which in turn drives up the price of the second grain. Consequently, the separation
[31] Andrew B. Appleby, "Grain Prices and Subsistence Crises in England and France, 1590–1740," Journal of Economic History 39, no. 4 (Dec. 1979):865–86.
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of prices (their nonconvergence) in 1743–44 and 1775–76 suggests that there was no real crisis in those two instances, while the convergence of millet and wheat prices in 1762–63 suggests that there was a real crisis in that situation. Again, this idea, like others in this paper, is advanced as a hypothesis that must be tested, particularly with prefectural data that will focus on the particular parts of the province affected in a particular crisis.
Regional Variation
A central question in the study of these grain prices is the extent to which they varied within the province. In a well-developed market system, the correlation of prefectural prices ought to have been high, and price variation ought to have been low. Price variation within the province should also tell us something about the impact of crises. In a well-developed market system, the impact of natural disasters ought to have been cushioned, since grain would have been able to flow from unaffected regions to the affected ones. Of course, the same effects—strong price correlations and low price variation—might also have been achieved if the granary system was highly effective in its functions of price stabilization and famine relief or if the entire province had identical weather and other environmental conditions.
In approaching the question of market integration, we first employed the statistical measure called the coefficient of variation. The coefficient of variation is the standard deviation divided by the mean, multiplied by 100. It is a measure of the extent to which prices varied among prefectures during a given period. If market integration increased over time, then the coefficient of variation should decline. If, on the other hand, markets deteriorated, then the coefficient of variation should increase. We calculated the coefficients of variation of prefectural prices for each year from 1738 to 1910 for which we had data, omitting Xuanhua and Chengde, which were in the northern sections of the province. Then we did a regression analysis of the coefficients of variation with year (T ) and crisis year (C ) as variables. The resulting regression coefficients for year were 0.018, 0.041, and 0.013 for wheat, millet, and sorghum respectively (with t -values of 3.8, 7.8, and 2.6). In other words, the coefficients of variation for all three grains increased over time, and millet prices experienced significantly greater increases in regional variation than the other two grains.
These results are contrary to the expectation that over time markets should have become more integrated; if so, the coefficient of variation should have decreased. They also draw attention to, and invite explanation for, the different price behavior of millet, which was the staple grain for most people and which might perhaps have been more sensitive to population growth and to crises.
In the same regression analysis, however, the regression coefficients for
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crisis years were all negative, with t -values under –2.0. That crisis years would cause variation to decline seems counterintuitive. When the various components of the coefficient of variation are separated out, however, a more plausible picture emerges. As Table 2.6 shows, the coefficient of variation declines for crisis years only because the standard deviation does not increase as much as the mean price. In other words, the lower coefficient of variation for crisis years is more a reflection of a higher mean price, totally to be expected, than diminished variation among prefectural prices. The table not only shows that the standard deviation did not increase very significantly in crisis years but also shows that the increase in the mean price was greater for millet—0.16 taels on the average—than it was for wheat or sorghum—0.13 and 0.10 taels respectively.[32] On the whole, this analysis confirms the impressions derived from the earlier case studies in supporting the view that the impact of crises, both on the level of prices and on their variation across regions, was relatively limited.
As a second step, we used Pearson correlations to study regional integration. The correlation coefficients measure the relationship between grain
[32] The careful reader may note that the differences between the mean prices of crisis and noncrisis years differ somewhat from the crisis variables presented in Table 2.2. They are, however, roughly of the same order of magnitude as the last set, representing "crop year, Baoding only." Once again, it should be emphasized that regression analysis cannot produce precise results.
prices in pairs of prefectures, with 1.0 being a perfect correlation. The comparison of annual prices for the 17 prefectures of the province revealed astonishingly high degrees of correlation for most pairs of prefectures, with the unsurprising exceptions of Xuanhua and Chengde prefectures. Pearson correlations for wheat prices were mostly over 0.70, sometimes over 0.90, often above 0.80. Similar generalizations can be made for millet and sorghum.
When correlations are calculated separately for eighteenth- and nineteenth-century prices, no clear trend can be confirmed. While wheat correlations between most paris of prefectures seem to rise, for millet the picture is more mixed. Excluding Chengde and Xuanhua, correlations for the remaining 15 prefectures show that in 59 of 105 cases, correlations declined from the eighteenth to the nineteenth centuries, while in 46 cases they increased. This partly supports the picture presented by the study of coefficients of variation, and continues to make interesting the hypothesis that millet prices experienced greater spatial variation in the nineteenth century than the eighteenth century. Clearly, the next step in pursuing this question is to study the province on a region by region basis to see which regions shared this experience and which did not.
Since the correlation of prices themselves incorporates a similar time trend for all of the prefectures, it exaggerates the extent to which prices were actually correlated. Studying the first difference of these prices (the difference between the price in a given year and the price in the previous year) omits the common time element and provides a better measure of correlation. A preliminary analysis of annual price differences for the eighteenth century reveals that for wheat and millet about two thirds of the possible correlations between prefectures were 0.60 or over; for sorghum over 55 percent of the correlations were over 0.60. These results also suggest a reasonably high degree of correlation, but understanding their significance must await further work, and comparing them to nineteenth-century correlations must await a more complete set of nineteenth-century data.
Taken together, these preliminary attempts to study price variation in Zhili suggest a relatively high degree of integration within Zhili Province south of the Great Wall, but an integration that may have declined in some sections of the province, particularly in the case of millet, from the eighteenth to the nineteenth centuries. It should not be assumed, however, that integration was necessarily the result of a well-developed market system. The relative behavior of wheat and millet prices suggests that the market for wheat, a commercial product, may have been well developed and may have become more integrated in the nineteenth century. Millet, on the other hand, was the staple grain for ordinary people. In the eighteenth century, its apparent high degree of price correlation may have been due to the fact that the Zhili granaries predominantly stocked millet. With the decline of the granary system in the nineteenth century, price correlation may also have declined, because
the eighteenth-century integration of prices was probably more a function of the granary system than of the market system. Until some estimate can be made of the output and supply of each of these grains in the Qing period, and until the nineteenth-century data are more complete, these hypotheses must await testing.
Conclusions
While indicating directions for future work, this preliminary study of grain prices in Zhili Province during the Qing period also permits us to draw certain tentative conclusions. In the most general terms, this study suggests, first, that there was a relatively low inflationary trend for the Qianlong through the Xuantong reign periods (1736–1911), particularly so when the last two decades are omitted. Second, although there were distinct seasonal patterns in grain prices, they were not great in magnitude, and were offset by the multicrop system, particularly by the planting of winter wheat.
Third, crises were seen in several contexts to have been moderate in their impact, at least in the eighteenth century. Regression analysis showed the impact of crises to have been relatively contained. Crises caused the mean price of grain to rise somewhat but did not cause a very great increase in regional variation. The three eighteenth-century case studies confirm these general impressions. In fact, while these periods were deemed crises in administrative terms, and while they were triggered by natural crises, perhaps they were not really food crises if food crises are defined as periods of abnormally high food prices.[33]
Fourth, the multicrop system appears to have been a significant factor in mitigating the effect of crises, particularly because of the different seasonal patterns of the crops. Multicropping certainly helped to offset the disadvantages presented by weather and geography, and has perhaps been overlooked in previous discussions. Appleby's study concludes that in England and France "the evidence suggests that a symmetrical price structure and subsistence crises went hand in hand. When all grains were costly at the same time, food shortage had an impact on both mortality and fertility; when one or another grain remained cheap, the demographic aftereffects were absent."[34] It is too soon to conclude that such a generalization could be made for Zhili, but certainly this suggests a framework for future investigation. For North China, Buck observed in the 1920s and 1930s that farmers sold the higher-priced grain and ate inferior grain. Farmers in the wheat
[33] I have explored these issues more fully in "Using Grain Prices to Measure Food Crises: Chihli Province in the Mid-Ch'ing Period," The Second Conference on Modern Chinese Economic History (Taibei, 1989), II, pp. 467–509.
[34] Appleby, "Grain Prices," p. 882.
region, he said, sold half the wheat they grew, and purchased inferior grain, an estimated one quarter of their food needs, from the market.[35]
The long-term behavior of millet prices seems to be the outcome of either deteriorating economic conditions (population pressure, etc.) or the diminished role of government intervention in the grain market or, more likely, both. The greater volatility of millet in some crises, its increasing coefficients of variation over time, and its lower price correlations in some regions in the nineteenth century all suggest certain long-term changes in its role in the food supply of Zhili. On the other hand, price analysis suggests that the role of sorghum did not experience a similar change. Francesca Bray has suggested that sorghum probably became more important in the nineteenth century with increasing population pressure.[36] However, the long-term trends shown in Figure 2.4 do not support this view, since the price of sorghum continued to remain a constant percentage of the price of wheat and always remained separate from that of the higher-priced millet.
Finally, future work may confirm that prices throughout the region, with the exception of the two outlying prefectures, were remarkably well correlated, suggesting the powerful interaction of granaries and markets.
To understand better the nature of these secular changes, we need to have more complete price data for the nineteenth century and better weather data. This will permit us to understand more about long-term trends over both centuries. We also need to know more about the interaction between the grain tribute system, the granaries, and the grain markets in the determination of prices. Only then will it be possible to grasp why a region so indifferently and curiously endowed by nature could play such a large political role over centuries of history.
[35] Buck, Land Utilization in China , 1:416.
[36] Francesca Bray, Agriculture , vol. 6, pt. 2, of Joseph Needham, ed., Science and Civilization in China (Cambridge, 1984), pp. 434, 464, 451–52.
Three
The Qing State and the Gansu Grain Market, 1739–1864
Peter C. Perdue
Most Chinese celebrate the eighteenth-century Qing empire for two achievements: the expansion by conquest of China's territory to unprecedented size and the growth of its population to become the largest in the world. Two major institutions of the Qing state made these achievements possible: the military supply system and the granary and famine relief systems. Both of these institutions depended heavily on extensive private grain markets. New data from the price memorials in the Qing archives allow us to examine the degree of integration of these grain markets in Gansu Province in the eighteenth and nineteenth centuries. Scholars have recognized that market exchange of basic commodities was spreading widely in the Chinese empire in the eighteenth century, especially in the densely populated rice paddy belts of the Lower, Middle, and Upper Yangzi, the Pearl River Basin in South China, and along the Grand Canal leading to the North. Nevertheless, few have yet studied the substantial progress of trade in the far northwestern periphery of Han China. I shall argue that Gansu had achieved a considerable degree of integration of its grain markets by the eighteenth century and that the Qing state, through its military-provisioning and granary systems, indirectly promoted this process of commercialization.[1]
The impact of the military was much greater in Gansu than in Coastal, Central, South, and Southwest China, because of Gansu's strategic location on the supply route to the garrisons occupying Central Asia. Continual military demands placed great stress on a fragile agrarian regime. But the efficient transport system developed by Qing governors of the province for military
[1] I would like to acknowledge the invaluable help of my research assistants, Jiang Xiaohong and Ren Jingzhen, in preparing the statistics for this paper. The M.I.T. Provost Fund and Metcalfe Fellowship supported the data collection and analysis.
supply and the injection of cash into the economy, combined with efforts to prevent military demands from excessively burdening the local population, stimulated market exchange. By linking Gansu to its neighbors, Shaanxi to the east and Sichuan to the south, the Qing could both maintain the local population and send support through the Gansu corridor to the large military establishment on the frontiers. A full analysis of the Northwest should include its core area in Shaanxi Province, but lacking the price data for Shaanxi at present, I shall only discuss Gansu itself.
Gansu's land area in the Qing was over 600,000 square kilometers, half again as large as California or Japan today. It was one of the largest provinces in the empire, smaller only than Yunnan and Sichuan among the 18 provinces of interior China. (During the Qing dynasty Gansu also included within its borders present-day Ningxia Autonomous Region and Xining Prefecture in present-day Qinghai.) Its population density, however, only 25 per square kilometer in 1957, makes it the most sparsely populated province of Han China.[2]
Although the population was sparse, the cultivated acreage was also low, giving Gansu a ratio of cultivated land per capita close to the national average. In 1887 less than 3 percent of the total area of the province was cultivated land, the lowest in the empire next to Yunnan, Guizhou, and Guangxi in the Southwest.[3] Wheat and millet were the major crops in the province, with acreages of 16.4 million and 14.9 million mu respectively in 1931–37. Miscellaneous crops (field peas, broad beans, oats, buckwheat) accounted for 6.2 million mu , corn for 2.2 million mu , barley for 1.9 million mu , and sorghum for 1.1 million mu . Only very small amounts of rice were grown. This was a very stable mix of crops, typical of regions with very low rainfall, little irrigation, and frequent droughts.[4]
Dwight H. Perkins estimates Gansu's grain yields as the lowest of the 18 provinces, an estimate confirmed by Governor Huang Tinggui, who complained in 1744 that harvests were poor in Gansu because the local people failed to use manure properly or to plow deeply.[5] Private grain storage was so low, claimed Governor Wu Dashan, that the people obtained half of their
[2] Population figures for Gansu are highly suspect: if the population was only 12.8 million in 1957, it is hard to believe that it could have attained the official figure of 15.2 million given for 1787. On the other hand, the 1749 figure of 5.71 million is a clear underestimate. (Dwight H. Perkins, Agricultural Development in China, 1368–1968 (Chicago, 1969), pp. 207–8; Yeh-chien Wang, Land Taxation in Imperial China, 1750–1911 (Cambridge, 1973), p. 87; Qingchao wenxian tongkao (hereafter WXTK ) 36/5195, 37/5205-6.
[3] Perkins, Agricultural Development , pp. 223, 236; Ping-ti Ho, Studies on the Population of China, 1368–1953 (Cambridge, 1959), pp. 124–25. The reported area was, of course, much less than the actual cultivated area, but the relative standing of the provinces is roughly accurate.
[4] Perkins, Agricultural Development , pp. 249–58.
[5] Ibid., p. 19; Zhupi zouzhe (hereafter ZPZZ ), tunken gengzuo 1744.3.25.
seed for planting each year from government granary loans.[6] Within the province, the districts west of the Yellow River suffered colder weather and later harvests than those to the east. Not only frequent floods and droughts but also hail, wind, sandstorms, insect plagues, frost, and snow could easily ruin a crop.[7]
Besides its low productivity, Gansu is noteworthy for its high percentage of tuntian , or former military garrison lands, most of which were cultivated by civilians in the Qing. Tuntian formed over 37 percent of the registered land area in 1753.[8] By 1772, the Qing had assigned 27 percent of the registered population, or perhaps three million people, to cultivate these fields. The Qing rulers relied heavily on the agricultural output of Gansu to feed not just local military forces but also the armies stationed in Xinjiang.[9]
The military presence both in Gansu and in Xinjiang strongly affected state demands on Gansu's resources. Regular garrisons in the northern, eastern, and southern military districts of Xinjiang numbered at least 25,000 men by the early nineteenth century. Including their dependents, this meant an army of at least 125,000 people to be supported by a combination of garrison lands, cash stipends, and grain shipments from the interior. Joseph Fletcher estimates that of the annual military pay in Xinjiang of 3 million taels in silver, Han China supplied 1.2 million taels.[10] Gansu was not the only source of subventions for Xinjiang, but it was the route through which all cash, grain, horses, and clothing reached the frontier.
Given the heavy demands by the state on Gansu and its low level of agrarian output, it is not surprising that the tax accounts of the province were almost always in arrears. Even though its tax quota was only 250,000 taels in 1725, it still owed the central government an unpaid deficit of 290,000 taels.[11] The tax reforms of the Yongzheng reign (1723–35) imposed on Gansu additional annual demands of over 75,000 taels to provide for the "nourishing-virtue" supplements to magistrates' salaries, for which the ordinary source used in other provinces—meltage fees on silver collection—was insufficient. Gansu used 20,000 taels from surplus collections on frontier trade duties and 11,900 taels in customary fees from the sale of merchant licenses, but still had to request a special transfer of surpluses from Shaanxi.[12] Gansu's inability to
[6] ZPZZ, zhenji 1759.3.10, Wu Dashan.
[7] ZPZZ, tunken gengzuo , 1742.2.2, Huang Tinggui.
[8] Yeh-chien Wang, An Estimate of the Land-Tax Collection in China, 1753 and 1908 (Cambridge, 1973), table 24.
[9] Jiaqing chongxiu Daqing yitongzhi, juan 251–73. Although Xinjiang was not established as a province until 1884, for convenience I use this term to refer to Chinese Central Asia in the eighteenth century.
[10] Joseph Fletcher, "Ch'ing Inner Asia," in John K. Fairbank, ed., The Cambridge History of China , vol. 10, Late Ch'ing, 1800–1911 , pt. 1 (Cambridge, 1978), p. 61.
[11] Madeleine Zelin, The Magistrate's Tael: Rationalizing Fiscal Reform in Eighteenth-Century Ch'ing China (Berkeley and Los Angeles, 1984), p. 312n.13.
extract sufficient tax income from agriculture led it to rely on more imaginative and less orthodox methods, especially taxes and contributions by merchants for official degrees. The central government, primarily interested in grain supplies for the military, seems to have been slow to realize Gansu's limitations. The state lowered its demands for cash by decreasing the surcharge for salary supplements from 30 percent to 15 percent, but it maintained high demands for grain. Gansu's tax quota in cash in 1745, 299,000 taels, was the lowest in the empire except for Yunnan and Guizhou, but its quota in grain (508,000 shi ) was the sixth highest.[13] In fact, Gansu paid less than its quota in grain and more in cash, relying on an annual income of 32,000 taels from the tea and horse trades.[14]
Gansu, like the other peripheral western and southwestern provinces (Shaanxi, Sichuan, Yunnan, Guizhou) was on the whole a low-revenue, deficit tax collection area, heavily dependent on subsidies from interior provinces.[15] Within the province, however, rates of collection varied widely. In 1908 the average collection per county (xian ) was 3,600 taels of silver and 5,300 shi of grain, but Zhangye (the Ganzhou prefectural capital) and Wuwei (the Liangzhou prefectural capital) paid the enormous sums of 101,800 and 94,400 taels respectively.[16] Such regions relied heavily on merchant taxes, especially on salt shipments, to meet these demands.
Gansu, then, was one of the poorest of the Han-dominated regions of the empire, comparable in remoteness, sparseness of population, and low productivity to the recently settled Southwest. Unlike the Southwest, however, Gansu occupied a strategic military position guarding the corridor leading to Central Asia, where the Qing rulers conducted their most expansive military campaigns. Unlike the Southwest, too, it had no major mining resources, and its native non-Han peoples—Muslims, Tibetans, Mongols—were assimilated far less willingly to Chinese culture than the native peoples of the Southwest. Persistent tension, sometimes leading toward accommodation, sometimes toward violent revolt, characterized Gansu's social fabric throughout the nineteenth and twentieth centuries.[17] Economically, however, Gansu increased its ties to interior China from the eighteenth century on. Shaanxi merchants controlled much of the province's internal trade. Goods from Hebei, Shanxi, Sichuan, and Henan supplied the civilian and military needs of the population. Gansu merchants, in turn, sold furs as far south as Hunan.[18] Private markets had much to do with drawing the regions together,
[12] Ibid., p. 140.
[13] Yeh-chien Wang, Estimate , tables 26, 27.
[14] Yeh-chien Wang, Land Taxation , p. 71; Yongzheng zhupi yuzhi (hereafter ZPYZ ) 4.4.92b–93 (Gansu governor's report of 1725).
[15] Yeh-chien Wang, Land Taxation , p. 101.
[16] Ibid., p. 59.
[17] Jonathan Lipman, "The Border World of Gansu" (Ph.D. diss., Stanford University, 1981).
[18] Ningxiang xianzhi , 1816/8/8.
but the institutions established by the Qing founders and perfected in the eighteenth century, interacting with the market economy, played an important role. The institution with the greatest influence on the agrarian sector was the national granary system.
Granary Reserves and Food Supply
The nationwide granary system of the Qing stored large amounts of grain for leveling annual price fluctuations. "Ever-normal granaries" (changpingcang ) in each county built up their reserves during the eighteenth century using funds and grain obtained from a combination of regular state revenues, contributions for degrees, and transfers from surplus provinces and areas along the Grand Canal.[19] Local elites in many provinces also supplied and managed community granaries (shecang ) and charity granaries (yicang ). This extraordinary grain storage system, whose total reserves far surpassed the holdings of any other premodern state, did succeed for a while in amassing large amounts of grain and in using these reserves to level price fluctuations. Reserve holdings rose to a peak near the end of the eighteenth century, rising from 30 million to 45 million shi . This was a volume of 31 to 46 million hectoliters, equivalent to a weight of milled rice of 261 to 391 million metric tons.[20] Along with this growth in holdings, however, appeared many signs of corrupt management, rotting of grain, and ineffective use of grain for price relief. Although the official level of grain stores dropped back to 30 million shi in the nineteenth century, the real level declined even more rapidly. Furthermore, granary reserves were increasingly diverted to other uses. By the mid-nineteenth century, the use of granary reserves for military supplies had become a very common cause of depletion of the system.
The system functioned well in the eighteenth century as long as officials maintained adequate supervision over granary accounts, took care to prevent spoilage by turning over the stocks, and used grain only for price leveling. Gansu is an example of a province where latent destructive forces of the granary system appeared very early. Supplying military demands, in particular, was explicitly recognized as one of the functions of Gansu reserves. This made it all the more difficult to maintain high levels of reserves, despite the very great demands placed on Gansu by the center.
Since other studies have described the general functioning of the granary
[19] This discussion relies on references provided in Pierre-Etienne Will and R. Bin Wong, Nourish the People: The State Civilian Granary System in China, 1650–1850 (Ann Arbor, 1991).
[20] The shi was a volume measure of grain, equivalent in the Qing dynasty to 2.94 U.S. bushels, or 103.5 liters. Its weight varied by type of grain, but one shi of milled rice, the most common granary holding in south China, roughly equaled 185 pounds, or 84.1 kilograms. See Han-sheng Chuan and Richard A. Kraus, Mid-Ch'ing Rice Markets and Trade: An Essay in Price History (Cambridge, 1975), pp. 79–98.
system, here I shall only discuss certain aspects of the system that are peculiar to Gansu. The Qing empire demanded extraordinarily high amounts of grain storage from this poor province. Nearly all grain stored in Gansu was either wheat or millet. The Yongzheng emperor (1723–1735) set no fixed quotas for Gansu granaries, but in 1735 Gansu reported reserves of 750,000 shi .[21] In 1748, however, when the Qianlong emperor assigned new targets to all the provinces, he gave Gansu the very high total of 2.29 million shi .[22] By 1763 it had actually achieved only 1.28 million shi . After 1748 the emperor allowed most provinces to reduce their target levels, but he increased Gansu's targets because frontier military garrisons needed provisions.[23] By 1789, he had raised Gansu's target to 3.31 million shi , but it actually reported only 2.2 million shi (all figures here are given in Qing imperial units, or cangshi ). Gansu, a poor province whose population at best amounted to a mere 2 to 5 percent of the national total, was expected to store about 10 percent of the national aggregate in both 1748 and 1789. In fact, it accumulated stockpiles that accounted for 3.9 percent of national reserves in 1767 and 7.4 percent in 1789. This substantial rise in Gansu grain holdings raised it from thirteenth to fourth in size of holdings among the nineteen provinces storing grain.[24]
The target figures for 1748 and 1789, however, did not genuinely represent the required amount of stored grain in each province. At best, they revealed the expected role of each province in the granary system. It is unlikely that any Qing official seriously believed that Gansu would be able to collect over 3 million shi in 1789. Gansu's "deficit" of 1.1 million shi in this year did not necessarily signify severe inadequacies in its granary administration, but only the great limitations on the province's ability to extract large amounts of grain from a poor population. Since the northwestern provinces always maintained above-average levels of per capita grain reserves, they may well have stored enough grain to carry out their primary function of price leveling.[25]
Building up and maintaining such large reserves was always a difficult problem. Gansu had three important sources for grain besides the local agri-
[21] ZPYZ 53.44a, 45b.
[22] The grain measure used in Gansu, the jingshi , was equal to 0.7 cangshi , the standard granary measure used in the rest of the empire. Memorials in Gongzhongdang archive, Palace Museum, Taibei, Qianlong reign (hereafter GZD-QL ), 2.25, 1751/11/22. All the grain figures given here have been converted to cangshi . Prices, however, are given here in taels per jingshi . For comparison with other provinces, these prices should be raised by 14 percent.
[23] Daqing gaozong chunhuangdi shilu (Qianlong) (hereafter QSL-QL ), j.330.33-35 (1749/1/30).
[24] For 1748 figures, see Qingchao wenxian tongkao , 36.5195, 37.5205–5206, cited in Pierre-Etienne Will, Bureaucracy and Famine in Eighteenth-Century China , translated by Elborg Foster (Stanford, 1990), pp. 193, 196. For 1766 and 1789, see the tables in Will and Wong, Nourish the People .
[25] Maps in Will and Wong, Nourish the People .
cultural population: special allocations from the central government, transfers from Shaanxi, and merchant contributions for degrees. Central government officials, when they realized that especially large deficits and restocking problems plagued the Northwest, allocated large amounts of money to the region. They gave Gansu 3 million taels to restock its granaries in 1766, a year of good harvests, and 8,000 more taels in 1767.[26] These large transfers, however, were extraordinary, one-time measures. Shaanxi, a much more productive province because of the fertile land along the Wei River, could also supplement Gansu's supply in good years. In 1756, a bumper crop year, the emperor allowed the Shaanxi governor to buy more grain than his normal quota and send it to Gansu.[27] The governor could not, however, transfer grain regularly to Gansu, for fear of straining Shaanxi's supplies. Other Shaanxi governors blamed excess government demand from Gansu for driving up prices on the Wei River by causing competition between official and merchant purchasers.[28] "Contributions" (juan )—fees paid by local merchants and others to obtain lower-level examination degrees, bypassing the first level of the examination system—became the most common regular source of grain for Gansu. From 1741 to 1745 Gansu reported collection of over 1 million shi of grain from contributions. On the other hand, this controversial policy did not always work. In 1747 Governor Huang Tinggui reported collection of only 43,900 shi from contributions, despite his exhortations.[29] A 1766 edict prohibited reliance on merchant grain contributions, because officials feared embezzlement and the difficulty that grain purchases created for the local population.[30] Gansu, however, soon resumed the practice, once local officials realized that the province had no other way to maintain its grain reserves.
Through merchant contributions for granary restocking, the Qing rulers used their monopoly authority over literati status to extract resources from the merchant community for the benefit of the rural population. The Qing state, in principle, derived most of its revenues from the land tax, levying very small taxes on internal trade. In practice, however, ties between the state and merchants were much closer than the formal fiscal structure suggests. For example, even though licensing fees for brokers in local markets formed a very small fraction of total revenue, the Qing rulers used these fees effectively to supervise local markets.[31] The use of merchant contributions for
[26] Ibid., manuscript version, p. 72.
[27] GZD-QL 21/9/9.
[28] GZD-QL , Zhongyin, 1753/6/16, 1752/8/10, 1752/8/21; Yang Yingju 1763/6/11.
[29] ZPZZ, caizheng cangchu , 1747/4/11, cited in Will and Wong, Nourish the People , manuscript version, p. 84n.72.
[30] GZD-QL 13303; WXTK 37.5205, cited in Will and Wong, Nourish the People , manuscript version, p. 63n.23.
[31] Susan Mann, Local Merchants and the Chinese Bureaucracy, 1750–1950 (Stanford, 1987).
granary reserves shows that Qing officials not only accepted the presence of competitive markets but also recirculated commercial revenues back into agricultural subsidies. Price-leveling sales, loans to farmers, and relief distribution both stimulated agricultural production and facilitated the operations of the private grain market.
Allowing merchant contributions for granaries, however, led Gansu into one of the Qing dynasty's worst political scandals.[32] Wang Danwang, taking over as provincial treasurer in 1774, illegally commuted contributions from grain into cash, siphoned a sizable fraction off into his own pockets, and wrote fraudulent reports to the central authorities about the actual reserves in Gansu. He demanded that subordinate officials submit false reports of disasters to obtain famine relief funds from the central government. Those officials who cooperated donated part of these fraudulently obtained funds to Wang himself and kept the rest as a reward for collusion. The vast dimensions of this scandal were only discovered in 1781, after Wang had left the province, taking several hundred donkey loads of loot with him.[33] Grand Secretary Agui, sent to repress a Muslim rebellion there, exposed the huge deficits in granary accounts and set in motion an impeachment process that led to the execution of 56 officials and the banishment or flogging of more than 46. This scandal vividly illustrates the dangers of reliance on contributions and unorthodox methods to fill granary reserves. The early Qing suspicions of this method were justified: merchant contributions, in cash or grain, proved too tempting for wily and unscrupulous officials.[34] Wang's scheme devastated Gansu's granary reserves from 1774 to 1781, but they recovered under close supervision in the following years. Whatever the bureaucratic repercussions of the scandal, the measurable effects on prices, grain supply, and the local economy were slight.
Memorial reports on actual granary reserves in Gansu, as opposed to official quotas, confirm the great difficulty of maintaining stable grain reserves in the province (see Figure 3.1). In the late fall of each year, after restocking from the fall harvest, every provincial governor reported the total reserves held in his granaries. As the graph shows, Gansu's annual holdings fluctuated greatly, more, in fact, than almost every other province in the empire.
[32] Sources are from Shangyudang, QSL-QL, GZD-QL , 1774–1781; Qinding Lanzhou jilue . A brief discussion is in Will and Wong, Nourish the People . The most complete discussion in English is now Muhammad Usiar Yang Huaizhong, "The Eighteenth Century Gansu Relief Fraud Scandal" (Paper presented to the conference "The Legacy of Islam in China: An International Symposium in Memory of Joseph F. Fletcher," Harvard University, Cambridge, Mass., April, 1989).
[33] Shangyudang , 1781/7/12, p. 139.
[34] Officials, however, disagreed on whether grain or cash was easier to steal. For discussion, see R. Bin Wong and Peter C. Perdue, "Famine's Foes in Ch'ing China," Harvard Journal of Asiatic Studies 43, no. 1 (June 1983):313–14.

Fig. 3.1.
Reported Grain Reserves in Gansu Province, 1740–1860 (millions of shi )
Note: "1748 Target" and "1789 Target" refer to quotas assigned to the province in these years. The bars give the actual holdings.
(See text.)
Although reserves built up over the long term, from the 1740s to their peak in the 1790s, the military campaigns of the 1750s and 1760s reduced granary holdings drastically by siphoning off much of the ever-normal granary reserves to feed the troops. By 1769 the granaries appear to have recovered their level of 1753, but Wang Danwang's reign of fraudulent reporting, beginning in 1774, makes the figures for the 1770s suspect. The exposure of the relief scandal revealed that in 1781 true reserves had dropped to less than 1.5 million shi . Gansu experienced a genuine recovery in the 1780s and 1790s, when its granary accounts were under close scrutiny. Figures for the nineteenth century, by contrast, show that Gansu's grain holdings plummeted to a stabler but much lower level.
Gansu's granary reserves follow, in exaggerated form, the pattern of the empire as a whole. Year-to-year fluctuations were higher in the eighteenth than in the nineteenth century. Nineteenth-century granary officials undertook sporadic, short-term rebuilding campaigns, as in Gansu during the 1830s, but these campaigns did not offset a longer-term trend toward declining reserves. The figures for the nineteenth century are also more suspect, because the institutional controls over corruption, spoilage, and false reporting were looser. Rather than interpreting this drop as evidence of general decline in Qing administration, we can also view it as a shift in Qing policies away from the difficult methods of reliance on storage in kind toward greater reliance on the private market. Gansu, in this sense, pioneered moves by the Qing state toward injection of money into the regional economy. Governor Nayancheng's campaign of 1810–11 to relieve a drought that struck 30 counties exhibited further moves toward money and away from grain. He distributed 571,900 taels of silver and only 95,600 shi of grain to feed over 2,777,000 people.[35]
Any assessment of the Qing ever-normal granary system must distinguish between what the Qing officials expected it to do and how it really functioned. The Qing rulers designed the ever-normal granary system to serve only one goal: price leveling. In principle, each granary should have sustained itself. After an initial build-up period, during which reserves were increased through official purchases and grants, granary managers were expected to keep the granaries at a stable level without outside support. By selling at high prices in the spring and repurchasing at lower prices after the fall harvest, officials should have been able both to maintain reserves at constant levels and to use the profits to pay salaries and maintenance costs. Emperors frequently reminded local officials of their duties, required annual reports of them, and sometimes punished them for very small discrepancies in granary accounts. They expected regular and full restocking every fall. Of
[35] The principal source for this relief operation is Nayancheng, Zhenji (1813). Brief discussion given in Wong and Perdue, "Famine's Foes", pp. 304–9.
course, only perfect prediction of future market conditions could have maintained absolutely stable reserves, but regions with regular harvests could much more easily keep their granaries stocked than regions suffering from frequent, unpredictable disasters. Stability also required that grain stocks be used predominantly for price-leveling sales. If reserves were diverted to other uses, either as official levies or for sales below market prices, extra funds would be required to restock in the fall.
Despite these difficulties, many provinces did succeed in keeping reserve levels stable for considerable periods of time. This stability, however, reflected a variety of relationships between regional grain markets and official purchasing activity. In the Southwest, for example, extremely stable reserves reflected a very low rate of grain turnover in regions of relatively localized markets. In the Lower Yangzi, on the other hand, stability resulted from highly commercialized, well-integrated grain markets and low per capita reserve levels.
In this paper, I stress the very wide variability of Gansu's reserves and what it reveals about Gansu's grain market. Substantial diversion of grain for military use combined with frequent poor harvests produced widely varying annual reserve levels. Still, even though Gansu's granaries fell short of the ideal design of the Qing system, they had significant economic effects. In fact, high annual fluctuations could indicate that reserves were being used effectively to relieve harvest shortages. In a region of frequent disasters, the best way to use granaries would be to accept deficits in bad years and make them up in good years, balancing the reserves over a multiyear cycle. If we could be certain that most of Gansu's reserves were used in this manner, the fluctuation in reserves would indicate highly effective management.
They could, on the other hand, indicate widespread diversion and peculation. Some provinces reported the total amount of grain purchased and sold during the year, allowing us to calculate the turnover rate, equal to the total purchases and sales divided by the end-of-year stocks. Gansu, unfortunately, is not one of those provinces, so it is difficult to determine exactly how much grain was bought and sold on the market. A more detailed examination of famine relief distributions would help resolve this question. For now, we may say that price stability after the 1760s provides at least some evidence that granary reserves were used effectively during the late eighteenth century to relieve the impact of harvest disasters. Although Gansu did not meet its targets, its high per capita grain holdings meant that grain distributions did have a relatively strong effect on the local grain market.
Military Demands on the Grain Supply: the Campaigns of 1758–1761
The three great military campaigns of the early to middle years of the long Qianlong reign (1736–95) consolidated the Chinese hold on Central Asia,
eliminated the centuries-old Mongol military threat, and expanded China's territory to unprecedented size. Only enormous logistic support from the interior made these campaigns possible. All of China's northern and northwestern provinces—Zhili, Shanxi, Shaanxi, and Gansu—bore the brunt of supplying the troops on the frontier with animals, wagons, porters, food, straw, uniforms, and weapons, but Gansu suffered the most. During the campaign against the Eleuth Mongols, from 1758 to 1761, large numbers of soldiers marched through Gansu. Even though they carried part of their rations with them, their demands on local grain markets drove up prices to spectacular heights. Grain prices doubled or tripled, but the prices of other goods also increased. Officials in Gansu had to raise the price they paid for horses from 8 to 10 taels, for cattle from 4.4 to 8 taels, in order to meet the local market price.[36]
Long pack trains marched through the province: 6,000 camels were sent from Zhili and Shanxi, many of which died of disease, requiring replacements; 12,000 horses were sent to Barkul (Balikun), of which the Eleuths stole 300.[37] Neighboring provinces received allotments of 3 million taels for grain transport to Gansu, in addition to 3 million taels given to Governor Huang Tinggui for military supplies.[38] The garrison in Hami, which increased from 10,000 to 20,000 in 1758, required at least 40,000 shi of grain per year.[39] Surprisingly, only 20 percent of these supplies were in kind and 80 percent in cash.
The vast distances—850 kilometers in a straight line from Lanzhou to Anxi, 300 more kilometers from there to Hami—and the high cost of transport across the steppes made it impossible to provision the troops through military pack trains alone. Expansion of garrison lands in Hami and Turfan provided valuable supplements, but only enough for 9,000 men for seven months.[40] Although Huang Tinggui instructed commanders to avoid purchases in Gansu by ordering soldiers to carry their own rations and even considered feeding the entire 20,000-man Hami garrison from Sichuan, he inevitably concluded that much of the grain had to be bought locally.[41] Of necessity, the private grain market in Gansu supplied a large share of the rations for the troops fighting on the frontier. The increase in military demand, combined with the influx of silver from government purchases, drove up local prices relentlessly.
This campaign unfortunately coincided with several years of widespread drought throughout the Northwest. Ningxia, with its irrigated fields, did send Liangzhou and Ganzhou its surplus of 112,000 shi , which was soon
[36] QSL-QL 554.2b (1758/1).
[37] Ibid., 576.36a (1758/12), 554.21b (1758/1), 557.31b (1758/2), 556.15 (1758/2).
[38] Ibid., 512.25b (1756/5), 575.17b (1758/11).
[39] Ibid., 564.19a, 564.17 (1758/6).
[40] Ibid., 573.23a (1758/10).
[41] Ibid., 567.27a (1758/7), 565.13a (1758/6).
exhausted. Relief needs alone were estimated at 500,000 shi of grain and 300,000 taels of silver.[42] Once again, the private grain market supplied much of the relief grain. In 1759 the emperor relaxed the usual rule of 50-50 distributions of relief in cash and kind to allow full cash relief where needed.[43] Where prices were low, especially east of the Yellow River in the ninth and tenth months of the year, relief in silver allowed the poor to buy food. As winter shortages exhausted market supplies, relief shifted to grain alone.[44] Besides direct distribution, the officials sold grain to reduce prices, but these sales only reduced prices by several tenths of a tael per shi .[45] Sales of millet at 2.4 taels per shi did not prevent the price from rising to 3.5 taels in Lanzhou by the end of 1759. It peaked at 4.4 taels in mid-1760 before dropping in 1761. Refugees flocked to sheds built for them in the cities, and Shaanxi shipped in 1.02 million shi of grain simply to provide seed loans for spring planting.[46] These are only a few signs of the major disaster inflicted on the province by the combination of the frontier military campaign and widespread drought.
In the short term, the campaigns of 1758–61 inflicted great suffering on Gansu's people, but in the long term they may have promoted Gansu's integration into the rest of the empire. Military salaries and relief allocations in cash poured large amounts of silver into the local economy. Despite its remoteness from both the copper mines of the Southwest and the silver imports on the coast, in 1761 Gansu's silver-copper ratio of 890 cash per tael was comparable with the ratio in the rest of the country.[47] Gansu officials set up government moneychanging bureaus in 1761 to help currency exchange, and they tried to standardize currency within the province.[48] We need more data on currency flows to confirm this hypothesis, but these military campaigns may well have contributed decisively to the monetization of the Northwest's economy.
The defeat of the Eleuths obviated the need for additional great military expeditions and brought relative peace to the Northwest. Of course, local unrest did not disappear. Tensions between Chinese Muslims and Han Chinese broke out in a short-lived revolt in 1781, but this had no effect on
[42] Ibid., 565.20b (1758/6); ZPZZ, zhenji , 1759/6/3, Yang Yingju.
[43] QSL-QL 567.12b (1758/7), 581.2a (1759/2).
[44] ZPZZ, zhenji , 1758/10/17, Huang Tinggui.
[45] QSL-QL 578.2a (1759/1).
[46] ZPZZ, zhenji , 1760/9/9, Wu Dashan.
[47] Hans-Ulrich Vogel, "Chinese Central Monetary Policy and Yunnan Copper Mining in the Early Qing (1644–1800)" (Ph.D. diss., University of Zurich, 1983); Hans-Ulrich Vogel, "Chinese Central Monetary Policy, 1644–1800," Late Imperial China 8, no.2 (December 1987): 27; Chen Chao-nan, Yongzheng Qianlong nianjian de yinqian bijia biandong (1723–1795) (Taibei, 1966).
[48] Proposals to standardize currency and increase the copper supply are in Gongzhongdang Yongzhengchao zouzhe (Taibei, 1977–79), vol. 5, p. 230 (1725/10/1); vol. 11, p. 782 (1728/11/16); QSL-QL 580.13a (1759/2).
price levels. Whatever the underlying ethnic tensions in the region, Gansu's markets functioned much more stably after 1761 than they had before.
Major Qing institutions affected the grain supply in Gansu, then. In feeding armies, collecting taxes, and stocking granaries, the Qing officials had to adapt to the limitations of agricultural output in a poor peripheral province. At the same time, they stimulated market exchange by injecting cash into the economy through grain purchases and soldiers' salaries. The collection of taxes in cash also stimulated market exchange by forcing peasants to sell their surplus crops for cash.[49] The eighteenth-century conquests in Central Asia not only brought vast new territories under Chinese control; they also contributed to knitting together the interior regions of China by linking internal markets to the military supply route. The analysis of price data that follows examines the extent to which Gansu's prefectures were linked together by a system of grain markets extending from the core regions of the Southeast through the corridor into Central Asia.
Price Data and Market Integration
The 351 Gansu price memorials available to me cover the years 1739 to 1864. The eighteenth century is much more fully covered than the nineteenth: there are at least some data for 38 of the years 1739–99 but for only 21 of the years 1800–64. Monthly coverage is also much fuller for the eighteenth century than for the nineteenth. Some of the reports from the nineteenth century are too suspiciously constant, giving the same price three or four months in a row. My suspicions about some of the nineteenth-century data make me reluctant to draw conclusions about differences between the two centuries until more information becomes available. The Gansu price memorials report high and low prices for five major crops: millet (two varieties), wheat, beans, and barley. Here we shall analyze only the data for the primary millet crop (sumi ). The reports cover the 13 prefectural divisions of Gansu Province, plus Hami, located in Xinjiang, and, for some years, the Jingni garrison, 100 kilometers northwest of Anxi.
Although the memorials report the highest and lowest prices within each prefecture every month, they do not tell us the locations of each high and low price. The yearly average curves of high prices and low prices within each prefecture parallel each other quite closely, but the high prices in Gongchang, for example, show occasional sharp peaks not found in the low prices (Figure 3.2). The most likely explanation for this pattern is that low prices
[49] Compare with similar processes in England and France described by Rudolf Braun, "Taxation, Sociopolitical Structure, and State-Building: Great Britain and Brandenburg-Prussia," p. 318, and Charles Tilly, "Food Supply and Public Order in Modern Europe," pp. 380–455, both in Charles Tilly, ed., The Formation of National States in Western Europe (Princeton, 1975).

Fig. 3.2
Millet Prices in Gansu Province and Gongchang Prefecture, 1739–1864 (adjusted annual
averages, in taels per shi )
represent the stabler patterns found in prefectural and county capitals, which were more commercialized than remote parts of the prefecture, where sporadic periods of dearth caused the sharp peaks in the series of high prices. The limited amplitude of seasonal variation in low prices compared to high prices supports our interpretation of low prices as coming from commercialized capitals (see Figure 3.3). For these reasons, analysis of the correlation between low prices is the most appropriate way, I believe, to measure market integration in this region.
Figure 3.2 shows the trends of the adjusted annual averages of millet prices for the province and one prefecture. (On the adjustment of data here and in other figures, tables, and the map, see the appendix at the end of this chapter.) As Map 3.1 demonstrates, there was a clear gradient of average prices across the province, because high transport costs raised price levels as one moved from east to west. Millet in Hami, where the mean of annual prices averaged 2.40 taels per shi , cost nearly twice as much as in Lanzhou, and Anxi, at 1.50 to 2.19 taels, was over 40 percent higher than Lanzhou. Low-price prefectures included Qinzhou and Jiezhou, Qingyang, and Pingliang, in the eastern end of the province, with access to Sichuan and Shaanxi supplies and the irrigated fields of Ningxia.
Several factors combined to produce the variation in grain prices among prefectures. Long-term changes in the balance of population and agricultural production, or changes in monetary supply, affected the long-term trend of prices. The cropping cycles of each region determined seasonal fluctuations from month to month. The impact of the major drought and military campaigns of 1758–61 produced drastic price changes, which swamped the impact of seasonal and annual trends. I used a multiple regression equation to analyze the relative effect, on average, of these three factors on the price for any given month.
The equation at the foot of Table 3.1 describes the monthly price as a function of a constant, the annual trend, seasonal variation due to monthly fluctuations, the disaster years of 1759–60, and an error term indicating random variation. A dummy variable (Y ), whose value is 1 for the major drought years and 0 for all other years, measures how widely prices in these two years diverged from the long-term trend. The value of the coefficient (T) of this dummy variable given in the table shows that the combined stress of widespread drought and military campaigns in 1759 and 1760 raised the average high price by 2.10 taels, or 135 percent of the average price for the period. Prices more than doubled during these two years in nearly all prefectures, notably excepting Qinzhou and Jiezhou, in the southeast. The coefficients for both high and low prices of the dummy variable for disaster influence in Qinzhou range from 0.42 to 1.08, much less than the effect on the average of prices for the province. Jiezhou's disaster coefficient ranges from 0.22 to –0.04, showing that this prefecture, which belongs to the Sichuan

Map 3.1
Correlations and Variation of Low Millet Prices in Gansu Province, 1739–1864.
Note: Bivariate correlations of differences in adjusted annual averages are indicated by solid and dashed lines; solid lines represent r greater
than 0.8, while broken lines represent r greater than 0.7 and less than 0.8. Means of high and low prices are shown for each prefecture
(high prices first) in taels per shi .
watershed, was completely unaffected by the drought in Gansu. Drought and disaster hit hardest at the core prefecture of Lanzhou (G = 2.82) along with Liangzhou (G = 3.64) and Anxi (G = 2.55) on the corridor leading to Central Asia.
If we exclude the effect of these two disaster years, prices hardly rose at all over the long term. The value of a , the coefficient of the variable T for the year, gives the annual trend for each prefecture excluding the effect of the disaster years. This coefficient is negative for both high and low prices in Anxi, Ganzhou, Hami, Suzhou, and Xining and only slightly positive for the rest. (Jingni, the one exception, only provides data for a limited time period.) The ratio of a to K , the constant term, for the average for all low prices in the province, yields a long-term annual rate of increase of less than 0.1 percent per year. Gansu did not share in the rise of prices from 1780 to 1830 described by Yeh-chien Wang and Kuo-shu Hwang for the rest of the empire.[50] Its prices followed a different rhythm, determined more by military operations than by flows of silver. The high annual fluctuations up to 1762 contrast markedly with great stability after the 1770s. The price data confirm that once the early Qianlong campaigns had brought peace to the turbulent Northwest, Gansu's grain markets proved comparatively immune to sporadic attacks of rebellion, famine, and drought.
Seasonal variation from month to month was also remarkably low. Each month in the equation, except for the first month, is represented by a dummy variable, whose value is 1 for the price in that month and 0 for all other months. For example, the value of M2 is 1 for February prices and 0 for all other prices, the value of M3 is 1 for March prices and 0 for all other prices, and so forth. The coefficients of these variables indicate how much, on average, each month contributed to a change in price from the first month of the year (see Table 3.1). Month-to-month variation rarely exceeds 10 percent of the average price in each prefecture. The especially small variation of the low prices implies that grain storage in the commercialized capital cities damped out nearly all monthly fluctuations.
The monthly variations suggest that most prefectures had two major annual harvests, with a spring crop bringing low prices in April, May, or June (sometimes February or March), while the main fall crop forced prices to their low point in October (see Figure 3.3). The shapes of the curves, however, are not uniform over the region, because cropping regimes varied widely. Gansu's mix of crops and weather differed markedly from the much more uniform seasonal patterns of a rice paddy region like Hunan (see the chapter by Wong and Perdue in this volume). In Ganzhou, Suzhou, and Anxi, at the western end of the province, the fall harvest came in later than
[50] Hwang Kuo-shu and Wang Yeh-chien, "Qingdai liangjia di changji biandong, 1763–1910," Jingji lunwen 9, no. 1 (1981).
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(Table continued on next page)
(Table continued from previous page)
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Fig. 3.3.
Seasonal Variation in Millet Prices in Gansu Province and Gongchang Prefecture, 1739–1864
(difference from January price, in taels per shi )
elsewhere and did not produce its full effect until November and December, while the spring crop seems to have arrived as early as March. Jiezhou, Jingzhou, and Qinzhou, on Gansu's eastern periphery, had much lower variation than other prefectures and do not demonstrate the effect of double-cropping at all.
Clearly a combination of government price-leveling policies and private storage contributed to the low level of variability. Although officials thought that private storage in Gansu was too low, we cannot easily distinguish the relative contributions of private and government grain storage to price leveling. Unlike in some other provinces, grain memorials in Gansu do not report actual disbursements of grain year by year. Still, Gansu's storage costs may have been lower than other provinces' costs because there was little danger of grain rotting in the dry, cold climate.
The price data also allow us to assess the degree to which Gansu's grain markets were interconnected. Computing bivariate correlation coefficients (Pearson's r ) between price series of different regions is a common method of analyzing the degree of regional market integration.[51] The possible values of this coefficient range from +1.0 to -1.0. Positive values mean some degree of synchronization between two given price series. Map 3.1 and Table 3.2 display the results of these calculations for the millet price reports from Gansu. The map uses solid lines to show correlations of greater than 0.8 and broken lines to show correlations of between 0.7 and 0.8. It uses prefectural reports of low millet prices to portray the correlations between the price differences of consecutive years from 1739 to 1864. Price differences are used to eliminate partially the influence of the annual trend: that is, the series consists of the price for 1739 subtracted from the price of 1740, the price for 1740 subtracted from the price of 1741, and so forth. (The annual average was derived from the months for which data were available after adjusting for seasonal variation. See the appendix.) Maps of correlations of monthly prices, which show short-term influences, display a similar pattern.[52]
The severe disaster years of 1759–60, however, did strongly affect all the prefectures of the province, except for Jiezhou. Removing these years from
[51] See, for example, William O. Jones, Marketing Staple Food Crops in Tropical Africa (Ithaca, N.Y., 1972).
[52] Barbara Harris has recently criticized the use of bivariate correlation coefficients to measure market integration. Recently, Martin Ravallion and Paul J. Heytens have developed more sophisticated statistical techniques to compensate for the influence of common trends and to measure more precisely the integrating effect of market exchange. Right now, missing data in the Chinese price series limit the usefulness of these techniques, but I intend to apply them to the Chinese data after obtaining more data from the archives. See Barbara Harris, "There is Method in My Madness: Or Is It Vice Versa? Measuring Agricultural Market Performance," Food Research Institute Studies 17, no. 2 (1979); Martin Ravallion, Markets and Famines (New York, 1987); Paul J. Heytens, "Testing Market Integration," Food Research Institute Studies 20, no. 1 (1986).
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the data sharply reduces the strength of interprefectural correlations, so that few coefficients exceed 0.8. At a weaker level, however, the same patterns remain. Coefficients at the level of 0.6 are still statistically significant, and they demonstrate the existence of the same network of exchange relationships.
The correlation coefficients indicate that a web of market relationships tied together the core triangle of prefectural capitals, Lanzhou, Gongchang, and Pingliang. Demands by these prefectures on the surplus production of the irrigated fields of Ningxia, to the north, tied Ningxia's prices to each. Weaker links connected Qingyang, Qinzhou, Xining, and Liangzhou to one or more of the core prefectures. A chain of trading posts linked Ganzhou, Suzhou, and Anxi to each other along the old Silk Road extending into the steppe.[53] Hami, in Xinjiang, was only weakly linked, if at all, to the Gansu markets. (Map 3.1 exaggerates its links to Liangzhou and Suzhou, probably because all of the data come from the nineteenth century.) Much of the grain supply for the Hami garrison came from tuntian lands in Central Asia, but a substantial portion of its supplies came through the corridor via Anxi. Conspicuously omitted from this network is Jiezhou, in the far south. Jiezhou lies on the upper reaches of the Jialing River, one of the major tributaries of the Yangzi flowing into the Sichuan Basin. If G. William Skinner is right to stress the importance of physiographic boundaries over administrative boundaries in defining economic macroregions, Jiezhou's markets should have little connection with the rest of Gansu but be linked by river transport to the Sichuan Basin. Jiezhou's isolation from the rest of Gansu confirms Skinner's theory of macroregions, attests to the overwhelming influence of river transport routes in determining Chinese grain flows, and shows that price correlations accurately define the boundaries of macroregions.[54]
Did market integration increase in Gansu from the eighteenth to the nineteenth century? An examination of graphs of average annual prices of millet from 1739 to 1864, smoothing out year-to-year fluctuations by five-year moving averages, seems to reveal some convergence between the price series of different prefectures. As expected, Hami and Jiezhou, which belong to different marketing systems, do not conform. More precisely, when we calculate the coefficient of variation (standard deviation divided by the mean) annually for 11 prefectures (excluding Jiezhou, Jingzhou, Jingni, and Hami), we find that this coefficient declines from the eighteenth to the nineteenth century (see Table 3.3). The rapid drop in the coefficient after
[53] Gansu had 331 government post stations, more than any other province, stationed twenty-five miles apart along the major roads. Kono Michihiro, "Shindai no baekiro," Jinbun chiri 2, no. 1 (1950): 13–24, cited in Gilbert Rozman, Urban Networks in Ch'ing China and Tokugawa Japan (Princeton, 1973), p. 94.
[54] Skinner puts Jiezhou prefecture in the Upper Yangtze macroregion, with Sichuan. G. William Skinner, ed., The City in Late Imperial China (Stanford, 1977), map 2, p. 214.
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1762 supports our argument that the end of the famine and military campaign led to greater economic integration. The figure remains fairly stable for the rest of the eighteenth century but declines to a lower level from 1816 to 1850. We can tentatively conclude that the process of economic integration, although initiated by military conquest, continued under its own steam through the late eighteenth and at least into the first half of the nineteenth century.
The study of Gansu's grain markets has just begun. The archives contain much more price data; gazetteers hold information on market structure and grain flows; the markets of other major crops await analysis. Nevertheless, the information available now shows that even in the remote Northwest, Qing officials—generals, governors, and granary managers—conducted a
fascinating and intricate dance with private traders—grain merchants, peasant producers, and money changers—all participating in a flourishing market economy.
Appendix: Adjustment of Data
The price memorials report the monthly high and low prices for each prefecture according to the Chinese lunar calendar. To estimate correctly the monthly variation, we first converted lunar to solar months by using a simple formula that computed each solar month's price as a weighted average of the prices in the lunar months it overlapped. For example, solar month 3 in 1739 had 9 days in lunar month 1 and 22 days in lunar month 2. The price for solar month 3 is [(9 * Price in lunar month 1) + (22 * Price in lunar month 2)] / 31.[55]
The regression equation in Table 3.1 computes each solar monthly price as a function of the year, of 11 dummy variables for the months (excluding the first month), and of a dummy variable whose value is 1 for the years 1759 to 1760. The coefficients of the 11 monthly dummy variables indicate the amount by which the price for a given month changes in relation to the first month of the solar year. Figure 3.3 displays these coefficients graphically. Subtracting these coefficients from the monthly prices for each prefecture and then averaging the months of each year for which data are available yields the seasonally adjusted annual averages displayed in Figure 3.2. These adjusted annual averages are the source for the computation of correlation coefficients in Table 3.2 and Map 3.1. To test whether the choice of base month affects the calculation of correlation coefficients, we also adjusted the monthly data using regression coefficients based on the tenth month of the year. This alternate procedure yielded few significant differences from the results discussed in the paper.
[55] The source for conversion of solar to lunar months is Zheng Hesheng, Jinshi Zhongshi shiri duizhaobiao (Taibei, 1978).
Four
Grain Markets and Food Supplies in Eighteenth-Century Hunan
R. Bin Wong and Peter C. Perdue
By the sixteenth century, recent immigrants to Hunan had begun to open new lands, from which rice surpluses were shipped to the growing metropolis of Hankou and the handicraft centers of the Lower Yangzi.[1] The late Ming proverb "When Huguang [Hunan and Hubei] harvests are plentiful, all under Heaven are fed" demonstrates that Hunan had become an important producer of rice. During the Qing dynasty, the province's rice exports grew. The importance of the Hunan rice trade was stressed some 30 years ago by Abe Takeo in his classic study of food supplies in the Yongzheng period (1723–35).[2] More recent studies of empirewide grain movements have confirmed the importance of the province's exports, the volume of which totaled 8 million (plus or minus 2 million) shi in normal harvest years.[3] The strong demand for Hunan rice in eighteenth-century China forged important commercial ties between the province and other parts of the empire. But what about the impact of Hunan's rice export trade on the province itself? Earlier studies of Hunan's rice export trade offer some answers by focusing princi-
R. Bin Wong wrote this essay on the basis of qualitative data he assembled over the past several years and quantitative data he collected in Beijing supplemented by data collected by James Lee and Peter Perdue. Perdue kindly supplied the technical expertise and helped prepare the data and do some of the initial calculations; he also edited an earlier draft.
[1] For a broad analysis of Hunan's settlement and agricultural expansion, as well as a nuanced portrait of the state's role in shaping these developments, see Peter C. Perdue, Exhausting the Earth: State and Peasant in Hunan, 1500–1850 (Cambridge, 1987).
[2] Abe Takeo, "Beikoku jukyu no kenkyu: Yoseishi no issho to shite mita," Toyoshi kenkyu 15, no. 4 (1957): 484–577.
[3] See Guo Songyi, "Qingdai de liangshi maoyi," Pingzhun xuekan , 1985, no. 1:289–314; Hansheng Chuan and Richard Kraus, Mid-Ch'ing Rice Markets and Trade (Cambridge, 1975); and Wu Chengming, Zhongguo ziben zhuyi yu guonei shichang (Beijing, 1985), p. 257.
pally on two topics: (1) the institutions of the export trade and (2) the distribution of benefits from the trade among different groups of merchants, landlords, and peasants.[4] From this work we know that it was often outside merchants who bought Hunan's surplus rice, that landlords could be major suppliers to local markets, and that all producers of surpluses could benefit from the expansion of the trade. We need, however, a sharper picture of the spatial dimensions of the trade in order to push forward our understanding of this trade's impact on the province more generally.
This paper reconstructs the spatial structure of rice marketing within Hunan Province. Which parts of the province were linked together by the rice export trade? How large were these areas—did they form narrow bands along trade routes or were the hinterlands of the trade routes also part of the market? What about rice commerce and markets in areas outside the export zone? Answers to these questions help determine the significance of market integration to an agrarian economy. Our approach combines qualitative and quantitative analyses of market integration. In the first section of this paper we present qualitative evidence on commercial rice circulation in Hunan. In the second, our discussion shifts to an analysis of rice prices. Finally, in the third section we conclude with some thoughts on market integration. We shall discover that analysis of either high prices or low prices by themselves provides an incomplete guide to market integration, since there are no a priori reasons to argue that either set should represent market integration better than the other. For Hunan, separate analyses of high and low prices reveal roughly similar pictures of market integration. We shall show that analysis must include price relationships that are not addressed in other chapters in this volume; even if some of the price relationships are not intuitively obvious, we must consider relationships among high and low prices of different prefectures in order to demonstrate that the prices reflect not just similar but related pictures of the rice export market.
[4] On Hunan's rice markets specifically, three Japanese historians published works in the 1950s that examined institutional features of market structures: Kitamura Hironao, "Shindai no shohin shijo ni tsuite," in Shindai shakai keizaishi kenkyu (Kyoto, 1978); Nakamura Jihei, "Shindai Koko kome ryutsu no ichi men," Shakai keizaishi gaku 18, no. 3:269–81; Shigeta Atsushi, "Shinsho ni okeru Konan komeshijo no ichi kosatsu," in Shindai shakai keizaishi kenkyu (Tokyo, 1975). Evelyn Sakakida Rawski's 1972 work on sixteenth-century Fujian and eighteenth-century Hunan, Agricultural Change and the Peasant Economy of South China (Cambridge, 1972), partially builds on the earlier Japanese work but presents a distinct picture. Rawski links differential economic prosperity within each province to the economic opportunities created by trade in some counties but not others. Rawski and Shigeta Atsushi sharply part company on how the benefits of expanding trade were distributed among small owner cultivators, tenants, and landlords. Rawski stresses the gains made by tenants, whereas Shigeta claims landlord control of markets. The viewpoints of the two scholars are not necessarily contradictory since tenants could reap larger benefits with landlords remaining the more important suppliers.
Spatial Structures of the Rice Trade: Qualitative Evidence
Hunan's eighteenth-century commerce largely followed the province's river systems. Each of the four major rivers—Xiang, Zi, Yuan, and Li—flowed into Dongting Lake, located in the northeastern part of the province. The Xiang River was by far the most important river, draining nearly half the province's land area. Not surprisingly, merchants along this river collected and shipped considerable amounts of rice destined for export out of the province. A 1753 investigation of specialized rice markets, covering 49 of Hunan's 56 counties, found 16 counties in which major rice markets existed and three additional counties where minor rice markets also served the export trade.[5] These 19 counties—Anxiang, Baling, Chaling, Changsha, Hengshan, Hengyang, Huarong, Linxiang, Liuyang, Longyang, Shanhua, Taoyuan, Wuling, Xiangtan, Xiangxiang, Xiangyin, Yiyang, Youxian, and Yuanjiang—were all located in five of Hunan's 13 prefectures; three of the prefectures (Changde, Lizhou, and Yuezhou) bordered Dongting Lake, while the remaining two (Changsha and Hengzhou) were south of Dongting Lake on the Xiang River. Major markets contained the facilities to accommodate boats, store grain, and arrange transactions; minor markets sent rice to these major markets for export. Map 4.1 displays the 16 counties with specialized rice markets and the three additional counties with export surpluses.
By adding information from other sources, we can piece together commercial rice flows in other parts of the province. Small quantities sometimes moved along Hunan's other three major rivers and their tributaries. Along the Zi River, rice moved from Wugang to Shaoyang and from this point to Xinhua; other shipments of rice reached the tea-producing county of Anhua further downstream. These shipments along the Zi River probably did not reach Dongting Lake. Protests against the trade in the early nineteenth century make clear, however, that even these small, short-distance, nonexport shipments were significant sources of food to the people who depended on them.[6] In contrast, gazetteers provide no evidence of trade crossing county borders anywhere along the Li River.[7]
[5] Hunan shengli cheng'an hulü (1820), 23.2a–23b. For a discussion of the report, see Shigeta, "Shinsho ni okeru Konan komeshijo," 17–21. Rawski, Agricultural Change , p. 105, puts in tabular form information presented by Shigeta from the original.
[6] Deng Xianhe, "Lun huangzheng," Hunan wenzheng: guochao wen , 29.23a–24b, Xinning xianzhi (1893) 20.19a–21a. Repeated struggles over this flow of grain demonstrate the social and political importance of what in economic terms may be quite minor. See Kojima Shinji, Taihei tenkoku kakumei no rekishi to shiso (Tokyo, 1978), pp. 117–26, and R. Bin Wong, "Food Riots in the Qing Dynasty," Journal of Asian Studies 41, no. 4:774–79.
[7] Rice was grown in each of three counties along the Li River but was not a major food crop in any of them; more important was the combination of winter wheat, corn, and millet. Cotton and hemp cloth, like grain, circulated within county borders, while seed oils and mining products made their way downstream to the lake region. Sangzhi xianzhi (1873), 2.25–37; Yongshun fuzhi (1763), 10.5a; Shimen xianzhi (1818), 18.72a–73a, 52.49a–53a; Shimen xianzhi (1873), 3.48–49.

Map 4.2.
Correlations of Annual Price Differences for High-Grade Rice in Qing Dynasty Hunan.
(See p. 138 for Map 4.1.)
Along the Yuan River available sources allow us to reconstruct a more complex situation. Although they inform us that people in Chenzhou depended on imports from other counties, they do not tell us where the boats came from. The neighboring upstream counties of Luxi, Chenxi, and Xupu were unlikely suppliers of rice because of their own food supply limitations.[8] It appears, therefore, that the boats came upstream from the fertile paddy areas near the lake, apparently carrying rice that would otherwise flow out of the province with the export trade. Additional trade, including sales to Huitong, flourished along the upper reaches of the Yuan and its tributaries in Yuanzhou and Jianyang. These movements in southwestern Hunan, which also carried grain across the Guizhou border, were physically separate from the movements in downstream areas between the lake and Chenzhou.[9]
In southern Hunan small amounts of rice appear to have moved across prefectural boundaries. For instance, rice grown in Lanshan and Xintian fed miners in Guiyang. Sources also provide early eighteenth-century evidence of shipments of rice from Yongzhou to Hengzhou.[10] The southern mountain region within which rice was sold to feed miners also, at least for a while, sent rice into the Xiang River export trade. Map 4.1 also shows those counties outside the export zone in which rice trade is noted in gazetteer sources.
In summary, the export trade dominated rice movements in Hunan above the local level but coexisted with spatially separate movements along the Zi and Yuan rivers and in the southern mountains. Qualitative data indicate some rice trade crossing county borders in ten of Hunan's 13 prefectures, but only half of those ten participated directly in the province's Yangzi River export trade. The evidence we have just reviewed establishes the outlines of separate patterns of grain trade within the province. But this information cannot answer two important questions. Were the physically distinct movements of rice outside the export zone economically independent of the interprovincial trade? What degrees of market integration were achieved within the export zone and in areas beyond it? Our analysis of grain prices provides some answers.
[8] On Chenzhou, see Yuanling xianzhi (1873), 8.1a; on the counties upstream, see Fukuda Setsuo, "Shinmatsu Konan no noson shakai," Fukuoka joshi tandai kiyo 8:33, 34, 51.
[9] Shigeta, "Shinsho ni okeru Konan komeshijo," pp. 24–25; Hunan shengli cheng'an hulü , 23.2a–23b. On the route out of Hunan into the Southwest, see James Lee, State and Economy in Southwest China, 1250 to 1850 (Cambridge, forthcoming), chap. 3.
[10] Guiyang zhouzhi (1868), 6.18–19; Lanshan xianzhi (1933), 11.53. For occasional entry of Yongzhou rice into the Xiang River export trade, see Qiyang xianzhi (1765), 4.7a.
Price Data and the Dimensions of Market Integration
From qualitative evidence we have shown a kind of market integration defined by physical movements of rice. We do not have much sense of the size of these rice shipments; we know only that some amounts of rice moved between various points within the province and to places beyond Hunan. The size of shipments, however, is not crucial to the reasoning about market integration we now develop on the basis of price data. When prices from two areas move in related ways over time, we believe the markets of these areas are integrated. There need not be very much trade between two points to cause related price movements. As long as grain merchants have enough information about prices in another area to cause them to adjust the volumes and prices of their purchases and sales accordingly, the two regions are economically integrated, regardless of the absolute size of the trade. Conversely, evidence of physical movements of grain may not signify market integration if changes in the prices do not reflect those movements. This would indicate that even though grain flows between two regions, the trade is too sporadic or localized to have a significant impact on price movements. Qualitative evidence of physical movements and quantitative price information generally complement each other, but they do not always agree completely.
The price data we use come from the monthly provincial reports to the central government of the highest and lowest county-level prices within each prefecture.[11] We have created annual series of the high prices and low prices for the most commercialized grain, high-grade rice, which we have adjusted for missing monthly data, in each of 13 prefectures reporting this information in the 63 of 68 years between 1738 and 1805 for which we have at least some observations.[12] The quantitative indicator we have chosen to guide our discussion of market integration is the bivariate correlation (Pearson's r ) between differences of annual price averages. We consider any correlation between two sets of price differences that exceeds 0.65 to indicate a market relationship and thus integration of markets.[13]
[11] Chen Jinling, "Qingchao de liangjia zoubao yu qi shengshuai," Zhongguo shehui jingji shi yanjiu , no. 3 (1985): 63–68.
[12] Price data for a total of 693 lunar months for the years between 1738 and 1858 have been located, transcribed, and converted into solar monthly data. For the analysis in this essay we consider only high-grade rice for the years between 1738 and 1805; the coverage after 1805 is too thin to merit inclusion. Analysis of other grades of rice and other grains will be made in the future to complement this work on high-grade rice; such work will show the degree of substitution among grains, which forms yet another kind of "integration."
[13] Annual averages have been created by assigning monthly weights according to the coefficients for dummy monthly variables in a regression equation for annual price by prefecture. Other studies on the Chinese Southwest (Lee, State and Economy , chap. 6) and on France during the eighteenth century (David Weir, "Markets and Mortality in France, 1600–1784," in Essays in Honor of Andrew Appleby [Cambridge, forthcoming]) have employed comparable statistical measures and established the same kind of standard; our minimum of 0.65 is a bit higher than that used in Lee's Southwest Chinese study (0.60), but a lower standard includes many correlations that represent linkages for which we have little or no reason, judging from qualitative evidence, to expect market relationships.
With the prefecture as the unit of observation, two kinds of market integration are easily conceptualized: (1) inter prefectural integration, indicated by much of our qualitative information and by analyses of high prices and low prices separately, and (2) intra prefectural integration, indicated by the correlation of annual price differences of the high prices and low prices for each prefecture.[14] Obviously, market integration within each of two prefectures says nothing about integration between them. Likewise, if less obviously, measures of integration between two prefectures also say nothing by themselves about integration within each prefecture. Two separate indicators of market relationships, the correlation of differences in annual high prices and the correlation of differences in annual low prices, need not themselves be necessarily related. After examining interprefectural market integration indicated by high prices and by low prices, we shall explore the relationships between highs and lows across prefectures to demonstrate a market integration more complex than that suggested by evaluations of interprefectural correlations of highs and of lows and by intraprefectural correlations. These two independent measures are unable to capture the reality of market integration. Indeed, evaluated in light of qualitative evidence, these measures present us, in the Hunan case at least, with a serious puzzle.
Spatial Patterns of High and Low Prices
The proposition that related changes in annual price differences reflect market factors assumes that other forces are not driving the observed movements of prices. If, for instance, there was a strong and sharp trend in annual prices, due perhaps to inflation, the changes in annual price differences could not reasonably be taken as indicators of market integration. We therefore first look at an adjusted annual series of high and low prices to see what kind of long-term trend there might be. The provincial averages are displayed in Figure 4.1. Despite some fluctuations in individual years, for most of the eighteenth century prices remained between 1.1 and 1.3 taels; prices rose only modestly. In most prefectures, therefore, the rates of increase cannot help to explain the relationships among annual price changes to be analyzed below.[15]
Rice prices throughout Hunan also displayed remarkably similar seasonal patterns, compared, for instance, to those for Gansu millet examined by
[14] We are grateful to James Lee for our discussions about intraprefectural price comparisons. See his essay in this volume for an example of a much fuller analysis of intraprefectural prices.
[15] The annual trends are derived from the regression equation discussed in note 17.

Fig. 4.1.
Adjusted Annual Averages of High and Low Prices for High-Grade Rice in Hunan Province, 1738–1858 (taels per shi )
Note: There is a substantial amount of missing data after 1798.

Fig. 4.2.
Seasonal Variation in Prices of High-Grade Rice in Selected Hunan Prefectures, 1738–1858
(difference from January price, in taels per shi )

Peter C. Perdue in his essay in this volume. Figure 4.2 displays seasonal variations for four of Hunan's 19 prefectures, two representing exporting regions and two selected from the 15 non-exporting prefectures.[16] The lowest prices of the year come in December and the highest in June and July. Prices are generally low in the winter months, rise steeply in the spring, and plummet between August and September. Since these roughly symmetrical curves are similar in areas linked by rice trade as well as those that are not, trade alone cannot explain the similarities. Similar schedules of planting and harvesting are the more general reasons for the seasonal price patterns.
To use our price data to study market integration, we must remove the shared price behavior due to common annual trends and monthly variations. We obtained coefficients for each of 11 monthly dummy variables by fitting a regression equation to the price series for each prefecture, then recalculated annual averages after subtracting the coefficients from each monthly price.[17] Because the correlations discussed are calculated from the annual differences, the effect of the annual trend is nearly completely removed. The remaining correlations are a minimal set representing those price connections that are most likely caused by trade relations and not by common annual or seasonal patterns.
For the high prices in the years for which we have data between 1738 and 1805, 14 relationships show correlations of annual price differences exceeding 0.65, of which the 13 displayed in Map 4.2 confirm the basic outlines of the rice export network in eighteenth-century Hunan.[18] Nine of these links con-
[16] The seasonal variations are calculated from the coefficients of dummy variables representing 11 months in a regression equation discussed in note 17.
[17] The coefficients are for the linear regression model P = K + a T + b2 M2 + b3 M3 + . . . + b12 M12 + e , where P is the (solar) monthly price; K is a constant; T is the year (T = 0 for 1739); M2 , M3 , . . ., M12 are dummy variables for months 2 through 12 (M2 = 1 for the second month and zero for all other months; no separate dummy variable is needed for the first month, during which M2 = M3 = . . . = M12 = 0); a , the coefficient of T, gives the annual price trend. b2 , b3 , . . ., b12 are the coefficients of the monthly dummy variables; they indicate patterns of seasonal variation. e is the error term.
[18] In addition to these fourteen relationships, there are six other high price correlations present in the data from 1738 to 1805 that challenge the picture of the rice trade sketched on the basis of qualitative information. These correlations often show a link between distant areas or between remote areas and an exporting prefecture (Yongshun-Yongzhou, Baoqing-Yongzhou, Baoqing-Yongshun, Yongzhou-Yuezhou, Baoqing-Yuezhou, Chen-Lizhou). Leaving out the years after 1777, when prices become volatile because of a combination of poor harvests and political intervention, we find that five of the six dubious relationships disappear while all fourteen of the realistic ones remain. For the shorter period 1738–77, four new relationships emerge, none of which neatly fits our expectations, based on qualitative indicators, of how rice marketing worked. Links between Baoqing and the prefectures to its east (Hengzhou) and west (Yuanzhou) seem at least possible, since they are close to each other. Very difficult to consider even plausible are links between Yuanzhou and the distant export prefectures of Yuezhou and Hengzhou. Since none of these four prefectural pairs had correlations of at least 0.65 in the longer series, we reject them as likely market relationships. While harvest fluctuations or political intervention might cause price changes in some years, sustained patterns of related price changes make the presence of a market factor more plausible. We therefore consider prefectural pairs for which the correlations of annual price differences are at least 0.65 for both the 1738–1805 and the 1738–77 periods to be the strongest candidates for market influenced price behavior, and display all but one of them in Map 4.2. The one not included is the only one of the sixty-one remaining linkages theoretically possible among Hunan's thirteen prefectures for which we find a correlation above 0.65 that cannot be explained in terms of what we know about rice marketing. Some combination of similar harvest results and political intervention presumably created this unlikely outcome. To have but one perplexing case is in fact reassuring. In general there is a good fit between our qualitative and quantitative data at the prefectural level.
nected the major rice-exporting prefectures near Dongting Lake (Changde, Lizhou, and Yuezhou) and along the Xiang River (Changsha and Hengzhou). Four of these links (Changsha-Hengzhou, Changsha-Yuezhou, Hengzhou-Yuezhou, Changde-Yuezhou) lay along paths on which rice physically moved, while the other five links represent indirect price relationships without direct physical movements of rice between them. Changde's prices, for example, were connected indirectly with Hengzhou's via links to Changsha, even though no grain flowed directly from Changde to Hengzhou. Together, the nine links outline the integrated export market.
Four other links connect Chenzhou to three of the five rice-exporting prefectures and to Yuanzhou. The price data confirm the market relationship with Changde described by gazetteers. Since prices were higher in Chenzhou than in Changde, rice must have moved upstream, allowing Chenzhou to tap the export trade. Chenzhou's links to Changsha and Hengzhou further support the notion that it had ties to the export zone by showing market relationships without the connection of direct physical trade. In addition, Chenzhou prices are related to Yuanzhou prices, but Yuanzhou prices are lower, suggesting that Yuanzhou rice supplemented shipments from Changde to Chenzhou.
Completely separate from the export network is the price relationship between Guiyang and Chen. The generally higher prices in Chen suggest some small-scale trade going from Guiyang to Chen. The scanty qualitative information on this region for the eighteenth century provides no clear indication of this trade. In fact, this price relationship may not be a genuine economic link but may only represent changes due to harvest fluctuations in adjacent areas subject to similar weather conditions.
The failure of quantitative data to reveal movements of grain along the upper reaches of the Xiang, Zi, and Yuan rivers suggests that small amounts of grain can cross prefectural borders without clearly influencing price relationships. As we said above, small amounts of physical trade need not create strong economic relationships. Also, as is likely in the case of the Xiang River trade flows between Yongzhou and Hengzhou, the trade that existed in the early 1700s may have nearly disappeared by the second half of the century.

Map 4.1.
Qing Dynasty Hunan. (See p. 129 for Map 4.2.)
Data on low prices again show a concentration of relationships among prefectures within the rice export zone. Map 4.2 also displays nine significant correlations of annual price differences for the low prices of high-grade rice.[19] Six of the links connect the five export prefectures, while two others connect Chenzhou to the export zone. Only the one between Yongzhou and Chen is completely separate from the export prefectures; here again, as in the Guiyang-Chen high-price relationship, a combination of trade and common weather conditions may have caused the observed connection.
A comparison of high-price correlations and low-price correlations reveals strong similarities. Both high and low prices connect the export prefectures. Six of the nine low-price relationships parallel high-price links (Changde-Lizhou, Changde-Yuezhou, Lizhou-Changsha, Changde-Changsha, Yuezhou-Changsha, Changde-Chenzhou). The Hengzhou high-price links that are lacking for low prices account for most of the differences between the high-price and the low-price relationships.
Why is Hengzhou different from the other export prefectures? Before finding an answer to this question we must first confirm that interprefectural highs and lows both represent the export market. We can generally attribute the differences between highs and lows to transport costs in the same way as we treat differences between prefectures as the product of transport cost differences. But this is not enough. For the highs and lows to be related, we must find correlations between them. The most obvious place to look for such relations with prefectural-level data is in intraprefectural correlations.
Our sources provide the highest and lowest prices within each prefecture without giving the counties these prices come from, which can in principle vary each month. Still, if the highs and lows are closely correlated, all the counties in the prefecture likely follow similar patterns. In other words, a relationship between the high and low prices in the same prefecture indicates market integration within the area, including counties reporting prices between the high and the low. The precise counties reporting the high and the low each month need not therefore necessarily be the same; we can still observe more general features of the rice market in the prefectures. We consider first the correlations of annual price changes for high and low prices
[19] In addition, there are correlations over 0.65 for ten pairs of prefectures in only one of the two data samples (1738–1805, 1738–1777). In five of these cases prices might be related because of geographical proximity (Changsha-Hengzhou, Baoqing-Yuanzhou, Hengzhou-Baoqing, Changsha-Baoqing, Yuanzhou-Chenzhou), if low prices come from adjacent counties in different prefectures. In five other instances, however, there is no obvious explanation for the high correlations (Baoqing-Yongshun, Yuezhou-Yuanzhou, Baoqing-Yuezhou, Yuezhou-Chen, Changsha-Chen). Since market relationships are very unlikely according to our qualitative sources, we suspect that similar harvest conditions or political intervention combined to create the correlations. We consider only those links affirmed by both data samples to be ones with a strong market component; these are presented in Map 4.2.
within each prefecture (with the number of counties under its jurisdiction shown in parentheses):
Baoqing (5) | 0.18 | Jingzhou (4) | 0.64 |
Changde (4) | 0.75 | Lizhou (6) | 0.74 |
Changsha (12) | 0.39 | Yongshun (5) | 0.14 |
Chen (6) | 0.19 | Yuanzhou (3) | 0.08 |
Chenzhou (4) | 0.34 | Yuezhou (4) | 0.53 |
Guiyang (4) | 0.89 | Yongzhou (8) | 0.23 |
Hengzhou (7) | -0.01 |
Seven of the 13 prefectures—Hengzhou, Yongzhou, Baoqing, Chenzhou, Yongshun, Yuanzhou, Chen—have no statistically significant correlations. Two of the six with significant correlations are small southern prefectures (Jingzhou and Guiyang), where short distances and low production levels allow greater impact from common weather patterns. Four export prefectures (Changsha, Yuezhou, Changde, and Lizhou) are the other four cases with statistically significant correlations, confirming the 1753 report's identification of major rice markets in these prefectures.[20] But the correlations for Changsha and Yuezhou are well below the 0.65 cutoff we use to identify strong indications of market integration. We therefore have a problem. Interprefectural highs and interprefectural lows each outline market integration for the rice export trade in a roughly similar manner (Hengzhou being the important difference), but we cannot establish convincing relations among the highs and lows by looking simply at intraprefectural relations. Further analysis of the price data is necessary.
Thus far we have considered correlations of annual price differences for high prices and low prices between and within prefectures. In other words, for prefectures A and B, we have considered those correlations of highs and lows depicted in Figures 4.3a and b. Together our measures represent the combination of intraprefectural and interprefectural market integration depicted in Figure 4.3c.
The organization of data by prefecture leads analysts to concentrate on the relations making the boxlike Figure 4.3c. But market relationships do not map neatly onto politically defined space. In economic terms, there is no reason to expect the market(s) providing the low prices in one prefecture to be more related to the market(s) providing the high prices in that prefecture than to the market(s) providing the high prices in some nearby prefecture. Market placements and transportation networks could easily link the highs of one prefecture with the lows of another. Unfortunately, since we do not know the county-level locations of the prefectural highs and lows, we can
[20] Changsha's correlation is significant at the 0.01 level; each of the correlations for the other three is significant at the 0.001 level.

Fig. 4.3.
Ways to Measure Correlations of High (H) and Low (L) Prices in Prefectures A and B
only propose this scenario as a reasonable explanation of the correlations we shall examine in a moment. When related "cross" prices, shown in Figure 4.3d, are combined with the relationships between highs and lows of two prefectures, we can argue that the two interprefectural relationships are themselves related (Fig. 4.3e); in other words, we can establish market integration between highs and lows, even in the absence of strong intraprefectural correlations.
For Changsha and Yuezhou, the two export prefectures with low intraprefectural correlations, we can demonstrate the integration of their high and low prices into a common rice export network by observing in each case their cross-price relationships with nearby Lizhou shown in Figures 4.4a and 4.4b. The correlations of high Lizhou prices with low Changsha prices (0.70) and with low Yuezhou prices (0.68) reveal a market integration by cross prices that is much broader and stronger than an examination of high and of low prices between and within prefectures would have mistakenly suggested.
The number of strong relationships between rice-exporting prefectures varies. The extreme case is Changde and Lizhou (Fig. 4.4c), where all possible relationships among high and low prices are strong, thus suggesting widespread market integration within and between prefectures. For other pairs of export prefectures, some combination of strong and weak correlations can be found. The larger the number of strong correlations, the broader

Fig. 4.4.
Correlations of High (H) and Low (L) Rice Prices in Selected Rice-Exporting Prefectures in Hunan,
1739–1805
the likely degree of market integration spanning the two prefectures. This kind of analysis confirms the integration of highs and lows in the export zone and asserts that the political boundaries of prefectures are not an important guide to the possible lines of economic integration represented by cross prices. The export market encompassed more than a narrow string of places along a single major transportation route; it spanned large portions of all but one of the export prefectures.
Hengzhou is the exception. The absence of low-price correlations between Hengzhou and other prefectures is shown most clearly for the Hengzhou price relationships displayed in Figure 4.4d. We first observe, in dramatic contrast to the high-price relationships, that the low prices have no relationship. Second, in contrast to the strong connection between high Hengzhou prices and low Changde prices, low Hengzhou prices have no link to high Changde prices. Finally, low and high Hengzhou prices have no relation to each other. Figure 4.4d displays this right triangle of strong
relationships (high Hengzhou prices–high Changde prices–low Changde prices), showing how high cross-price correlations strengthen our sense of highly integrated markets. The low and high prices from Hengzhou together suggest that the prefecture embraces integrated zones along the Xiang River and isolated zones toward the province's hilly eastern border. The examination of high and low prices together reveals more completely the degree to which rice-exporting prefectures are integrated into a larger marketing network than does examination of either highs or lows by themselves. Prefectures outside this network have fewer strong relationships among their prices.
Market Integration
We have analyzed qualitative and quantitative data on Hunan's rice trade. Our findings delineate Hunan's rice export trade and distinguish it from rice trade patterns in other parts of the province. First, price data generally confirm the outlines of the export trade based on qualitative information. The rice market within the export zone, with the important exception of Hengzhou, appears highly integrated both between prefectures and within prefectures. Second, price data reveal very little market integration outside the export zone—only a few thin connections in southern Hunan. The price data clarify movements along the Yuan River by suggesting amounts of some size going upstream from Changde and downstream from Yuanzhou. For the Zi River trade, however, Baoqing prices correlate poorly with other prefectures; this suggests that the trade identified by qualititative evidence may have been largely limited to movements within Baoqing Prefecture.
In Hunan's periphery, no rice markets, with the important exception of those in Chenzhou, were tied to the export trade. The case of Chenzhou, which tapped part of the Changde trade, demonstrates how an export market can include prefectural exports inside as well as outside the province. As is true for interprefectural integration, intraprefectural integration, except for two small isolated prefectures (Guiyang and Jingzhou), is high only in commercialized prefectures connected to interregional trade (Changde and Lizhou).
In sum, our analysis confirms the importance of commerce to eighteenth-century China's agrarian economy by combining qualitative and quantitative analyses of the spatial reach of China's grain markets within one province. The two approaches complement and correct each other: gazetteer evidence of small amounts of trade outside Hunan's export zone need not mean clear-cut market integration, while prices in export prefectures could be tied together without direct trading links. Persistent images of rural isolation and "natural" rather than commercial economy in Qing China will ultimately have to yield before the mounting evidence of active, integrated mar-
kets. But the presence of areas outside the export zone unaffected by rice market integration reminds us that any picture of China as a market society is also incomplete.
Let us not, therefore, jump to the conclusion that the kind of market activity we find in this agrarian Chinese setting implies everything that market activity does in other times and places. True, eighteenth-century China displayed some features of modern economies, but which ones? Even though additional research is clearly needed, we can provisionally propose that market integration in eighteenth-century China, as in modern economies, promoted regional specialization. Price signals informing people of the most profitable production strategy to pursue stimulated specialization according to comparative advantage then as now. But the presence of economically "rational" behavior does not necessarily mean that the resulting economic activity as a whole was "modern." Lacking were the forces that promote modern economic expansion—big capital investments, major technological advances, and new expanding markets. These forces work through an integrated market economy. Integrated markets may be highly desirable for economic advance, but they hardly create such developments by themselves. The Hunan rice case, like other Qing dynasty grain price examples, may represent a kind of market integration achieved without the familiar dynamics of modern economic change.
Five
Infanticide and Family Planning in Late Imperial China: the Price and Population History of Rural Liaoning, 1774–1873
James Lee, Cameron Campbell, and Guofu Tan
Between 1700 and 1900 China's population more than tripled, increasing from 150 million to almost 500 million. This dramatic rise in population is probably the most frequently noted achievement of Qing society. It is also one of the most important elements in any explanation of Qing economic performance.[1] Nevertheless, despite considerable research on the economic and demographic history of late imperial China, we have yet to devise precise demographic or economic measures for much of this period. In consequence, we have very little detailed quantitative knowledge about either the economy or the population; we also have little understanding about how population, as a variable, actually interacted with the economy during the eighteenth and nineteenth centuries.
Detailed population and price records do, however, survive in the historical archives of Taiwan and the People's Republic of China.[2] This paper is
We presented a preliminary version of this paper at the conference on Economic Methods for Chinese Historical Research organized by Thomas G. Rawski and Lillian M. Li and held in Oracle, Arizona, in January 1988. We would like to thank the participants and especially the organizers for their comments as well as George Alter, Francesca Bray, Peter H. Lindert, Donald N. McClosky, Susan Naquin, Jean-Laurent Rosenthal, Wang Shaowu, and Susan Cotts Watkins. We would also like to thank the following institutions for their financial support: California Institute of Technology, Liaoning Population Research Institute, National Academy of Sciences, National Endowment for the Humanities, and Wang Institute of Graduate Studies.
[1] See Dwight H. Perkins, Agricultural Development in China, 1368–1968 (Chicago, 1969); Mark Elvin, The Pattern of the Chinese Past (Stanford, 1973); and Ramon H. Myers, The Chinese Economy Past and Present (Belmont, 1980) for three recent influential books where population plays a key role in the analysis of Qing economic performance.
[2] For a description of some of these materials and their location in China, see Michael Finegan and Ted Telford, "Chinese Archival Holdings at the Genealogical Society of Utah,"Late Imperial China 9.2 (Dec. 1988): 86–114; and James Lee and Bin Wong, "New Research Sources for the Study of Late Imperial China," China Exchange News 15.3–4 (1987): 6–8. Until the discovery of these materials most historians have had to rely largely on genealogical data. See also four articles by Ts'ui-jung Liu: "Chinese Genealogies as a Source for the Study of Historical Demography" in Studies and Essays in Commemoration of the Golden Jubilee of the Academia Sinica (Taipei, 1978), pp. 849–70; "The Demographic Dynamics of Some Clans in the Lower Yangtze Area, ca. 1400–1900," Academia Economica Papers 9.1 (Mar. 1981): 115–60; "Ming Qing renkou zhi zengzhi yu qianyi," in Zhongguo shehui jingji shi yantao hui lunwenji (Taibei, 1983), pp. 283–316; and "The Demography of Two Chinese Clans in Hsiao-shan, Chekiang, 1650–1850," in Family and Population in East Asian History (Stanford, 1985), pp. 13–61; also see three articles by Ted Telford: "Marriage and Fertility in Tongcheng County, 1520–1661" (Manuscript presented to the Workshop on Qing Population History, Pasadena, 1985); "Survey of Social Demographic Data in Chinese Genealogies," Late Imperial China 7.2 (1986): 80–117; and "Fertility and Population Growth in the Lineages of Tongcheng County, 1520–1661" (Manuscript presented to the Conference on Chinese Lineage Demography, Asilomar, Calif., 1987); and Stevan Harrell, "The Rich Get Children: Segmentation, Stratification, and Population in Three Chekiang Lineages, 1550–1850," Family and Population in East Asian History (Stanford, 1985), pp. 81–109. See too, however, the important cautionary article by Harrell, "On the Holes in Chinese Genealogies," Late Imperial China 9.1 (Dec. 1987): 52–87.
a preliminary attempt to use such materials to reconstruct the price and population history of Daoyi District, a rural suburb of Shenyang in Liaoning Province, for approximately 100 years, from 1774 to 1873. First, we summarize the results of an ongoing study of the population history of Daoyi and demonstrate that mortality and fertility differed sharply by sex. Second, we reconstruct the price history of five food grains (rice, millet, sorghum, wheat, and soybeans) and determine the degree of price integration in the prefectural market. Finally, we analyze the relationship between grain prices and demographic rates in order to prove that the differential rates by sex were the product of a systematic pattern of infanticide according to household situation as well as economic conditions. We conclude that in Liaoning both mortality and fertility were highly responsive to changes in economic circumstances.
The study of food prices and population has, of course, long been a central topic both in the historical demography and in the economic history of the preindustrial world. This is only natural, for population was everywhere one of the most dramatic and dynamic economic variables and fluctuations in population were at least in part a function of harvest variations. Numerous studies in European history have repeatedly discovered relatively strong positive correlations between food prices and mortality and even weak negative correlations between food prices and fertility.[3] As we shall see, in Liao-
[3] Indeed Goubert has gone so far as to claim that "the price of wheat almost always constitutes a true demographic barometer. The range and frequency of the fluctuations in grain prices control the size and the frequency of the demographic crises." Pierre Goubert, "En Beauvaisis: problèmes demographiques de XVIIe siècle," Annales ESC 7.4 (1952): 453–68. For several recent examples of the state of this field, see Tommy Bengtsson, Gunnar Fridlizius, and Rolf Ohlsson, eds., Preindustrial Population Change: The Mortality Decline and Short-Term Population Movements (Stockholm, 1981). See too the detailed analysis by Ronald Lee and others in E. A. Wrigley and R. S. Schofield, eds., The Population History of England, 1541–1871 (Cambridge, Mass., 1981).
ning correlations between vital rates and prices were just as strong, but the patterns of population behavior were fundamentally different from European ones. Indeed, because of the widespread use of infanticide as a method of family planning, the strongest correlations link prices with fertility, not mortality. The Chinese apparently regarded infanticide as a form of postnatal abortion through which they could choose the number, spacing, and sex of their children in response to short-term economic conditions as well as their long-term family-planning goals.
Our demographic data for Liaoning come from an ongoing study of over 12,000 Chinese peasants who lived between 1774 and 1873. So far as we can tell, these peasants were direct descendants of an earlier Ming garrison.[4] The Qing government certainly classified the population as Han Chinese and in the early seventeenth century organized them as members of the Han banner armies.[5] Two thirds were farmers who lived in three villages (Baodao tun , Daoyi tun , and Dingjia fangshen ) in Daoyi District, a northern suburb of Shenyang. The rest were farmers originally from Daoyi, who had since moved to nearby villages. Because almost all of these villages were located near the provincial capital, the vast majority of these farmers undoubtedly produced food for the city market as well as for their own consumption. We have, however, almost no information on the specific structure of the village economy or the nature of these market relations during the eighteenth and nineteenth centuries.
What we do have are 85,000 individual records and 12,000 household records on the demography of this population throughout this period. This information is preserved in 25 triennial registers. These registers provide a nominative list of the families that received state banner land and in turn were liable for special corvée and military banner service. Specifically, they record for each person his or her name, age, occupation, family and lineage
[4] The 1566 edition of the Quan liao zhi , 4.3, includes a Daoyi tun in a list of Ming garrison villages.
[5] Our registers are entitled Zheng huangqi Daoyi tun Hanjun rending hukou ce ("Daoyi Village population registers from the Han army of the Plain Yellow Standard"). According to Zhou Yuanlian, Qingchao kaiguo shi yanjiu (Shenyang, 1981), and "Guanyu baqi zhidu de jige wenti," Qingshi luncong 3 (1982): 140–54, these Han banners date from the Manchu conquest of Shenyang in 1625. We discuss the changing social organization and ethnicity of this population in some detail in James Lee and Cameron Campbell, "Happy Families: Household Hierarchy and Differential Vital Rates in Rural Liaoning, 1774–1873" (Forthcoming). In 1982, of the 17,792 people who lived in Daoyi District (qu ), a suburb of present-day Shenyang, 60 were Muslim, 62 were Mongol, 343 were Xibo, 563 were Manchu, 618 were Korean, and 16,146 were Han Chinese.
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(Table continued from previous page)
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relationships, birth date, recent demographic events, and village of residence. The registers survive in the Liaoning Provincial Archives and were coded into machine-readable form at the Liaoning Population Research Institute and the California Institute of Technology.[6] To the best of our knowledge, no other material records a Chinese peasant population before 1900 with such continuity and detail. We present a crude summary profile of all 25 registers in Table 5.1.
The sources are a product of the Eight Banner registration system.[7] In Liaoning, Qing officials relied heavily on such records for civilian and military administration. They accordingly devised a remarkable system of internal cross-checks to ensure consistency and accuracy. First, they assigned every person in the banner population to a residential household (linghu ) and registered them on a household certificate (menpai ). Then they organized these households into clans (zu ) and compiled annually updated clan genealogies (zupu ). Every three years local authorities compared these genealogies with the household certificates to compile the population registers. Thanks to such efforts, the banner registers provide far more comprehensive and accurate data than the population registration system (baojia ) common elsewhere in China.
These registers do not, however, record the entire population. They have two related defects. On the one hand, nine of the registers from the century under observation are damaged or lost. We therefore have incomplete information on deaths and to a lesser extent births for 27 years.[8] On the other hand, even when registers do exist, registration is still incomplete in the very early age groups. Almost no one below 2 sui is registered. Indeed, the mean age at first appearance for both sexes is 6 sui , which is slightly less than five Western years of age.[9] Many children who died before 6 sui simply do not
[6] The process has been very labor-intensive, requiring several thousand hours over five years, and would not have been completed without the assistance of many people. Registers were transcribed by James Lee (1774, 1792), Robert Eng (1780, 1786), Julie Sun (1798, 1819), Liu Guiping (1855), Wang Yuanqing (1861), He Ti (1864), Anna Chi (1795, 1843, 1846, 1858, 1873), and Alice Suen (1801, 1804, 1810, 1813, 1816, 1822, 1828, 1831, 1837, 1840). Lawrence Anthony, Cameron Campbell, and Martin Hunt wrote machine programs to identify transcription errors. Anna Chi and James Lee repeatedly "cleaned" the entire data set. We would like to thank all the participants for their help, in particular Anna Chi and Alice Suen.
[7] See Fu Kedong, "Baqi zhidu huji chutan," Minzu yanjiu 6 (Dec. 1983): 34–43, for a more complete description of the banner registration system. We would like to thank Pamela Crossley for bringing this article to our attention.
[8] We are missing nine registers, dated 1777, 1783, 1789, 1807, 1825, 1834, 1849, 1852, and 1870.
[9] By sui the Chinese meant to indicate the number of calendar years during which a person had lived. People are accordingly 1 sui at birth and 2 sui at the next New Year. Sui are, therefore, on average one and a half years higher than Western years of age. The mean age at first appearance for all 25 registers was 6.1 sui for females and 5.8 sui for males. Age at first appearance by family relationship was similarly consistent: 6 sui for children in the generation below the head and 5 sui for grandchildren.
appear in our records. Girls are more likely than boys not to be registered, especially after 1840. Our estimations of vital rates accordingly fall considerably short of the actual levels of fertility and mortality.
Fortunately, with the exception of female underregistration, these omissions, at least before 1840, do not appear to follow any selective bias. Such bias as there is appears to be uniform over time and household position. Thus, mean age at first appearance is quite consistent by sex, time, and household relationship, so that the data, although incomplete, are nevertheless sufficient to document a variety of distinct patterns of mortality and fertility behavior in Daoyi.[10] These patterns by sex, age, household type, and family relationship, as well as economic condition, are far too consistent to be the product of underregistration. We summarize three particularly pertinent examples.
First, although the level of mortality during this century was moderate, deaths were distributed highly unevenly by sex. We contrast the overall mortality experiences of males and females in Table 5.2. We then present the experiences of the two sexes in periods of high and low overall mortality in Tables 5.3 and 5.4. The contrasts reveal significantly higher levels of mortality among females than among males but also far greater fluctuations in mortality among males than among females. The pattern of mortality, in other words, suggests a system of resource allocation wherein the female share, although relatively constant, was smaller than the male share. Males consumed more resources; but because they relied on the harvest surplus for their larger share, they were more vulnerable to harvest fluctuations than females. In Daoyi, in other words, the price of privilege was economic insecurity.
Second, the patterns of birth spacing and birth stopping strongly suggest that most married couples controlled their fertility to a considerable extent. Two very useful indications of such conscious limitation are the length of time between births and the age of women at the birth of their last child. Studies of many historical European populations show that in the absence of fertility control, birth intervals beginning with the second birth are rarely
[10] These findings derive from a number of conference papers that elaborate on their significance. See Lawrence Anthony, James Lee, and Alice Suen, "Adult Mortality in Rural Liaoning 1795 to 1819," California Institute of Technology Working Paper 115 (1985); James Lee and Robert Eng, "Population and Family History in Eighteenth Century Manchuria: Preliminary Results from Daoyi, 1774–1798," Ch'ing-shih wen-t'i 5.1 (June 1984): 1–55; James Lee and John Gjerde, "Comparative Household Morphology of Stem, Joint and Nuclear Household Systems: Norway, China, and the United States," Continuity and Change 1.1 (May 1986): 89–112; John Gjerde, Anita Tien, and James Lee, "Comparative Household Processes of Stem, Joint, and Nuclear Household Systems: Scandinavia, China, and the United States" (Manuscript presented to the annual meeting of the Social Science History Association, 1987); James Lee, Cameron Campbell, and Lawrence Anthony, "A Century of Mortality in Rural Liaoning, 1774–1873," Le peuplement du monde avant 1850 , ed. Antoinette Fauve-Chamoux (Paris, 1990).
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much more than two years long.[11] Moreover, the mean age at last birth is almost always within one year of age 40. In our population, by contrast, the mean age at last birth was only 34 (35.5 sui ). Furthermore, the mean birth interval beginning with the second birth was almost five years. As we can see in Figure 5.1, in striking contrast with European populations, where birth intervals increase by order of child, birth intervals in Daoyi actually decrease. According to these data, most couples decided to have fewer children than their natural limit and tended to space these children far apart.
Third, people in Daoyi appear to have used some form of sex-selective fertility control.[12] Table 5.5 analyzes the birth histories of almost 1,000 com-
[11] Most of our information for Europe comes from Michael W. Flinn, The European Demographic System, 1500–1820 (Baltimore, 1981); and Ansley J. Coale and Susan Cotts Watkins, The Decline of Fertility in Europe (Princeton, 1986).
[12] Apparently the Chinese did not consider children during the first year of life to be fully human. This was a traditional concept. An imperial edict recorded in the Tang huiyao (Important documents of the Tang; Beijing, 1955) for the year 623 says: "People when they are first born are just young animals [huang ]. At four sui they become minors [xiao ]. At 16 sui they become youths [zhong ]. At 21 sui they become adults [ding ]. At 60 sui they become old [lao ]." Tang huiyao , 85.1555. According to a famous passage from the Rites of Zhou , a compendium of statements on early political institutions and policies probably completed in the second century B.C. , "people should be registered after they have grown their teeth." In a well-known commentary on this passage, Qiu Jun, a fifteenth-century statesman, explained: "The human body is not fully developed until teeth are grown. Boys grow their first set of teeth in their eighth month and their second set in their eighth year. Girls grow their first set of teeth in their seventh month and their second set in their seventh year. They should then all be recorded in the population register." See Qiu Jun, Daxue yanyi bu (The Supplement to the exposition of the Great Learning, 1792), 13.14.
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pleted marriages and computes the sex ratios by birth order and completed family size, that is, the total number of births registered to the parents by the time the mother reached age 45. The numbers are certainly exaggerated because of the underregistration of females, but it is the unusual pattern that is important. In single-child families there were 576 boys for every 100 girls. For families with two children ever born there were 211 boys per 100 girls at
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Fig. 5.1.
Preceding Birth Interval by Order of Child in Daoyi and France, 1774–1873
Note: Based on 1774–1873 data for Daoyi and 1500–1820 data for France.
Data for France are from Michael W. Flinn, The European Demographic System (Baltimore, 1981), p. 330.
the first birth and 450 boys to 100 girls at the second birth. For families with three children ever born the ratio was 156 boys to 100 girls at the first birth, 294 boys to 100 girls at the second birth, and 324 boys for every 100 girls at the last birth. This highly unnatural pattern continues through all other completed family sizes. The closer a girl's birth order was to the completed family size, the less likely she was to survive to registration. The pattern is too systematic to be explained by random underregistation.
Daoyi peasants, in other words, used sex-selective methods of fertility control to determine the number and sex of their children. Generally there was a strong preference for boys, since sons had a higher utility, especially during their parents' old age. Couples targeted the number of boys they wanted and stopped having children after the desired number had been reached. This behavior produced both the low mean age at last birth and the unusual pattern in Table 5.5, where sex ratios increase steadily with birth order. Whether or not a girl born before the cutoff would be allowed to live depended on many factors, one of the most important of which was wealth. Poorer couples who only planned on one or two boys would be less willing to be burdened with girls. Wealthier couples, however, would want more children and would be more likely to allow early girls to live. As a result, the sex ratios in Table 5.5 for couples who had few children are comparatively high, while the ratios for couples who had more children are comparatively moderate.[13]
A study of age-specific fertility by household position underlines the strong relationship between wealth and fertility. Most peasants in Daoyi lived in highly hierarchical, complex households, where resources depended to a large extent on their position within the household.[14] We would therefore expect fertility patterns to reflect two well-known Confucian principles of household organization, whereby household heads took precedence over other family members and senior relatives took precedence over junior relatives. Indeed, the calculation of fertility by household position, presented in Figure 5.2, confirms that, at least in Daoyi, most Chinese families obeyed such principles. The hierarchy of fertility begins with the head at the top, followed by the head's brothers and sons, then his uncles, brothers' sons, cousins, and cousins' sons. The marital fertility rate of household heads is
[13] We would like to thank George Alter for his illuminating analysis of Table 5.5 Stevan Harrell, "The Rich Get Children," pp. 81–109, shows clearly that in late imperial China fertility was tied to wealth. He studied three lineages in Xiaoshan County, Zhejiang, from 1550 to 1850 and found that members of the richer branches of the lineages had more children than members of the poorer branches. This behavior can be attributed to a long natalist tradition in Chinese society.
[14] We discuss the structure of household hierarchy as well as the patterns of household progression and calculate differential vital rates by household structure and household position in James Lee and Cameron Campbell, Happy Families .

Fig. 5.2.
Male Fertility in Daoyi by Family Relationship, 1792–1873 (births per 1,000 person-years)
Note: General male marital fertility equals male births over married men 15–35. General male fertility equals male births over
all men aged 15–35.
twice that of cousins' sons. The marital fertility of sons is not only higher than that of brothers' sons, it is almost as high as that of brothers and far higher than that of cousins. Removing the control for marriage accentuates the differences between the privileged and the dispossessed. Because chances of marrying depended on household position as well, not only does the gap between the head and cousins' sons widen considerably: so do the gaps between the head and his sons and brothers. In both cases as distance from the household head increases, fertility decreases.
Given the technology of birth control available in late imperial China, such distinctive sex-selective patterns of family planning could only arise if parents consciously chose the number and sex of their children at least in part through infanticide. The patterns according to birth order, completed family size, and household position are too rational and systematic to be explained by underregistration. Parents' decisions to use infanticide were, of course, not based solely on their long-term goals and household position. Couples must have been influenced by short-term conditions. Indeed, as we shall see, couples were influenced in the short term by the price of food.
The price data come from an empirewide system to monitor food conditions that began elsewhere in China as early as the late seventeenth century but did not extend to Liaoning until the late eighteenth century. Thereafter until well into the twentieth century, magistrates in each of Liaoning's two prefectures, Fengtian and Jinzhou, reported every ten days to the provincial government on food supply conditions, including the price of all major food grains, the state of the weather, and harvest yields when appropriate. The provincial governor in turn prepared for the emperor a brief summary each lunar month of the lowest and highest prices reported in each prefecture for five food grains (rice, husked and unhusked millet, sorghum, wheat, and soybeans). It is these monthly summaries that provide our price data for Fengtian prefecture.
The principal virtue of these price summaries is the systematic spatial and temporal coverage they provide across the entire empire for over 200 years. To date, we have collected over 1,500 of these monthly price reports for the prefecture, almost two thirds of which are from the century under consideration in this paper.[15] Even after converting these lunar data to solar-month equivalents, we have complete or almost complete information (nine months' worth or more) for 65 years and no information for only five years (1791,
[15] James Lee collected 1,200 of these memorials from the First Historical Archives in Beijing in 1985, 1986, and 1987. Yeh-chien Wang kindly provided the 300 remaining memorials from his own research in the National Palace Museum in Taibei. We would like to thank Yehchien Wang for his gracious assistance to us here and elsewhere. Anna Chi transcribed the material into machine-readable form. We gratefully acknowledge her assistance.
1815, 1822, 1823, and 1825).[16] Figures 5.3 and 5.4 illustrate the price curves of the monthly lowest reported price and the monthly highest reported price for all five grains from 1774 to 1873 in taels of silver per shi of grain. These price data provide a systematic measure of food availability in Daoyi and, by extension, of economic conditions, which we can correlate with vital rates. They also enable us to identify which grains were most closely tied to specific changes in population and which grains may therefore have loomed largest in individual decision making on fertility and mortality.
It is important to remember, however, that these price materials also have a number of deficiencies, especially for microanalysis at the subprefectural level.[17] They are denominated in silver and accordingly do not accurately reflect the retail market, which commonly used copper cash. They only provide us with the highest and lowest prices in each month and tell us nothing about the overall distribution of prices within each prefecture. Finally, they do not tell us the location of the reported prices. We consequently cannot calculate an average prefectural price. We cannot even assume that the monthly low and high prices were necessarily related. We can only assume that the data represent general price trends over time. For the purposes of this analysis we shall therefore separately analyze all ten types of price at our disposal.
Correlation coefficients between annual averages of different grain prices, summarized in Table 5.6, reveal a high degree of substitutability among most grains. This was especially true for the monthly low and high prices of husked and unhusked millet, as well as the monthly low and high prices of millet, rice, and sorghum. Monthly low and high prices for the same grain, however, are less strongly correlated than low-priced and high-priced grains by themselves. We suspect that this pattern occurred because these two sets of prices may represent two different regions within the prefecture.[18] Our analysis, in other words, confirms that monthly low-priced and high-priced grains were not always substitutable.
[16] Peter C. Perdue produced the programs that converted monthly prices from lunar to solar dates. We gratefully acknowledge his repeated assistance and encouragement as we converted our data. We would also like to note that Anna Chi helped supplement this program to cover fully the period from 1736 to 1911.
[17] Although subprefectural data for Fengtian exist in the Liaoning Provincial Archives, all the weekly and monthly reports that we have found to date are from the very early twentieth century. We would like to thank the Liaoning Provincial Archives for making these data available.
[18] For the moment we have no direct information on where the monthly low and high prices come from. Unless we can find the subprefectural price reports for the eighteenth and early nineteenth centuries, our analysis will always be incomplete. We do not know if these price data consistently originate from the same region. We consequently cannot guarantee that our results always accurately reflect the historical realities.

Fig. 5.3.
Low Grain Prices in Fengtian Prefecture, 1774–1873 (annual averages in taels per shi )

Fig. 5.4.
High Grain Prices in Fengtian Prefecture, 1774–1873 (annual averages in tales per shi )
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Nevertheless, virtually all prices rose and fell usually in tandem and occasionally by as much as a factor of two or three within the space of just one or two years. A recent study by Wang Shaowu of the climate and harvest history of Manchuria indicates that fluctuations in summer temperature were responsible for most of these sharp price variations through their impact on crop yields.[19] Even as recently as 1954, 1957, 1969, 1972, and 1976, low summer temperatures reduced harvest yields by as much as one third. According to Wang, there were at least 26 similarly cold summers between 1774 and 1873, concentrated in the 1780s, 1810s, and 1830s.[20] Given the low level of agricultural technology in the late eighteenth and early nineteenth centuries, the impact of these low temperatures on harvests may have been even more severe than in the twentieth century.[21] Indeed, an examination of Figures 5.3 and 5.4 reveals that these three decades were characterized by rapid price increases. Prices, in other words, appear to accurately reflect the availability of food within Daoyi and should have had great impact on population behavior.
To what extent, then, did grain prices affect vital rates? Figures 5.5 and 5.6 summarize what information we have on annual crude birth and death rates for the century under observation. Again these data suffer from two limitations. On the one hand, we cannot calculate reliable birth or death rates for several years due to missing registers. On the other hand, because of the limitations of the registration system, we can only compute average death rates over three-year periods.[22] We cannot compute actual annual death rates for either sex. Our mortality statistics therefore appear deceptively stable. Given the incompleteness of the vital data and the volatility of the price data, we should anticipate that the correlations of prices to population will be weaker on paper than they were in reality.
[19] Wang Shaowu, "Jin sibainian dongya de lengxia" (Unpublished manuscript, 1988), reconstructs the temperature history of Manchuria by using a time series from the Japanese island of Hokkaido, which, he explains, was dominated by the same pressure system and therefore subject to the same large-scale fluctuations in temperature.
[20] According to Wang, these unusually cold summers were 1774, 1776, 1778, 1782, 1783, 1785, 1786, 1789, 1793, 1813, 1815, 1825, 1830–38, 1835–38, 1841, 1846, 1856, 1857, 1866, and 1869.
[21] For example, again according to Wang, a mean summer temperature just 1.5 to 2 degrees centigrade below normal in 1902 and 1913 resulted in 50 percent and 80 percent reductions in harvest yields respectively, compared in each case to the average yield of the five previous years.
[22] Female death rates cover only 25 intercensal periods and therefore include only 75 years of the century under observation. Male death rates, by contrast, include 30 intercensal periods and cover virtually the entire century. It is important to remember that these crude rates are unadjusted for deaths missing because of late registration. We estimate elsewhere that as many as one fourth of all deaths are missing in every population register (Lee, Campbell, and Anthony, "A Century of Mortality"). Since the proportion of underregistration appears to have been consistent, the temporal pattern illustrated in Figure 5.6 should be substantively correct.

Fig. 5.5.
Crude Birth Rates in Daoyi, 1774–1864 (per 1,000 married women aged 15–45)

Fig. 5.6.
Crude Death Rates in Daoyi, 1771–1873 (per 1,000 population, by intercensal period)
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Nevertheless, in spite of these limitations, the comparison of annual birth and death rates with annual average grain prices yields a number of truly significant results. In keeping with our previous analysis of mortality, the correlations between food prices and death rates are far stronger for men than for women. Indeed, as we can see from Table 5.7, there are no significant correlations between food prices and female death rates. The only meaningful relationships we can find are between male death rates and the annual average of monthly low prices. There are no correlations between the annual averages of monthly high prices with mortality. From these findings we can infer that the monthly low prices for the prefecture somehow reflect the availability of food in Daoyi during subsistence crises. We can also identify which of the five reported grains were the most important subsistence
crops for our population. Rice prices, for example, were uncorrelated with mortality and can be considered relatively unimportant. All other grains had significant if weak correlations with mortality. Wheat was the most important of these food crops.
However, in keeping with our analysis of fertility and family planning, correlations between grain prices and birth rates are not only far stronger than correlations between grain prices and death rates, they are also stronger for females than for males, especially in complex households. Strong negative correlations exist for virtually all grain prices regardless of the type of price (monthly low or monthly high) or the variety of grain. Figure 5.7, which plots birth rates by sex against low millet prices—millet being a common food staple—graphically illustrates the relationship between prices and fertility. When food prices were high, people had fewer children, especially fewer girls.
Fetal wastage and standard methods of family planning would have produced dramatically different results. Spontaneous abortions would have affected males as well as females.[23] Contraception would have produced strong correlations with lagged prices as well as current prices. In fact, though, correlations between prices and fertility are not only stronger for females than for males, they are stronger for current prices than for lagged prices.[24] Parents, in other words, made their fertility decisions in response to conditions at time of birth rather than conditions at time of conception. The unnatural response of birth rates by sex to immediate economic conditions, therefore, strongly suggests that in Daoyi many peasants limited their fertility through sex-selective neglect or infanticide.
Parents, of course, were most likely to make such drastic decisions in response to extreme economic conditions, only adjusting their fertility when prices were exceedingly high or exceedingly low. As a result, the correlations between birth rates and food prices in Table 5.7 may not accurately reflect the full responsiveness of fertility to economic conditions. We therefore calculate the percent changes in birth rates between years of medium prices (within one standard deviation of the mean) to years of unusually high or low prices (above or below one standard deviation) in order to measure the sensitivity of birth rates to high and low price extremes. According to these calculations, summarized in Figures 5.8 through 5.11, virtually all households
[23] According to Henri Leridon, Human Fertility (Chicago, 1977), p. 15, the natural sex ratio for stillbirths is 120–30 dead boys per 100 dead girls.
[24] If the peasants were limiting their fertility though sexual restraint rather than infanticide, we would expect even more pronounced correlations between births and prices, with a lag of one year or more. In fact we discovered that the relationship remains strong, although the values for both sexes decrease rather than increase. Therefore, although some couples may have practiced restraint, others preferred to rely on infanticide as a means of fertility control in times of economic pressure.

Fig. 5.7.
Birth Rates by Sex in Daoyi as a Function of Low Millet Prices, 1775–1840 (per 1,000 population)
Note: Male correlation coefficient = -0.59. Female correlation coefficient = -0.69
responded to high prices by reducing fertility and to low prices by increasing fertility.
Household wealth, and, by extension, household type, played a key role in the decision to let a daughter survive. Wealthy households, which were generally complex, were less affected by economic conditions than were poorer households, which were usually simple. Indeed, as we can see in Figure 5.8, when prices were high, parents in complex households reduced their female birth rate by one quarter, while parents in simple households cut theirs in half. In contrast, when prices were low, parents in complex households increased their female birth rate by one third, while parents in simple households did not change theirs at all. Simple households, therefore, were so impoverished relative to complex households that they not only kept far fewer girls than normal when times were bad but they allowed no extra ones to live when times were good.
The decision to keep a daughter depended, of course, on whether or not the couple already had a child. Indeed as we saw in Table 5.5, a girl was most likely to be kept if she was the first of several children. According to Figure 5.8, however, this was especially true in complex households. When times were bad, the birth rate for girls without older siblings dropped by less than one tenth while the rates for girls with older siblings dropped by four-tenths. In contrast, when times were good, the rate for girls without older siblings almost doubled while the rates for girls with older siblings went up only by one tenth. That complex-household parents were willing in bad times as well as good times to support a daughter so long as she was their firstborn reflects a desire to keep first children regardless of their sex. In spite of the widespread practice of infanticide, in other words, primordial affection could triumph over material concerns.
A girl's chances of surviving in a complex household, however, depended on household position as well as birth order. Figure 5.9 reveals that the less incentive parents had to produce a male heir, the more girls they allowed to live when prices were low. In good years, therefore, brothers and nephews, who were the furthest from the line of inheritance, had 50 percent more girls than usual. Heads, however, had only as many girls as they did in normal times. In contrast, all parents, whatever their relationship to the head, had at least one-third fewer girls in bad times than normal. Even in complex households, while some parents were willing to support more female children than normal in times of plenty, girls were still enough of a luxury that few parents were willing to save them when times were hard.
But baby girls were by no means the only victims of infanticide. Some parents also neglected or perhaps even killed their sons as well as their daughters when times were bad. According to the correlations for male births in Table 5.7, this was especially true in the simple, that is, poorer, households. Male birth rates had uniformly strong negative correlations with all

Fig. 5.8.
Female Births by Household Type in Daoyi in Periods of High and Low Grain Prices, 1792–1840 (% change from normal rate)
Notes: Marital fertility only. For boys, periods of high and low grain prices are years where the price is more than one standard deviation
above or below the mean for the period 1792–1873. For girls, periods of high and low grain prices are years where the price is more than one
standard deviation above or below the mean for the period 1792–1840. Different years were selected for boys and girls because the mean
and standard deviation of grain prices for the period 1792–1873 were different from the mean and standard deviation for the period
1792–1840. The years of high prices were therefore 1812–1816 for girls and 1807–1817, 1823–1827, 1829, 1833, and 1836–1838
for boys. The years of low prices were 1795–1802 and 1805 for girls and 1797–1801 and 1854–1862 for boys.

Fig. 5.9.
Female Births by Family Relationship in Daoyi in Periods of High and Low Grain Prices, 1792–1840 (% change from normal rate)
Note: See notes in Fig. 5.8.
food prices. Indeed, the correlations with male fertility were almost as strong as the correlations with female fertility. When prices were high, in other words, parents in these households neglected their sons as well as their daughters. In Fengtian, at least, the common assumption that Chinese parents neglected only their daughters may be untrue.[25]
Even in simple households, of course, parents only made the decision not to keep a son under extreme economic pressure. As we can see in Figure 5.10, when prices were high, the male birth rate in simple households declined by one third, but when prices were low, it increased by only one sixteenth. Parents, in other words, did not regard their boys as luxury goods. They thought of them as necessities. As a result, male birth rates remained relatively constant so long as there was no crisis. Parents in simple households only gave up their sons when they did not have the resources to support them.
Male infanticide, however, was not restricted to simple households. Figure 5.11 indicates that in complex households parents at the very top and very bottom of the household hierarchy also reduced their male birth rate in response to economic pressure. Indeed, when prices were high, cousins, who were at the bottom of the hierarchy, only allowed half as many boys to live as when prices were normal. Similarly, heads who were at the top of the household hierarchy had one quarter fewer boys. Evidently, just as men paid for their privileged position relative to women with greater increases in mortality in times of crisis, so household heads paid for their privileged position by lowering their fertility to the levels of other relations. Here too the price of privilege was greater vulnerability to economic fluctuation.
Just as with girls, birth order was an important consideration for boys in complex households, but the response to economic conditions differed considerably. The birth rates for firstborn sons, unlike those for their female counterparts, were more responsive to high prices than the birth rates for later sons. Thus when prices were high, the rate for firstborn sons declined by one fifth while the rate for later-born boys changed hardly at all (see Figure 5.10). This was especially true for the children of co-resident sons, brothers, and nephews, who were neither at the top nor at the bottom of the household hierarchy. Mid-ranking couples apparently had extra boys only if they were wealthy enough to be relatively immune to economic pressure. Heads, on the other hand, were under constant pressure to produce more sons regardless of wealth. It was poorer heads who responded to economic crisis by delaying or canceling plans for extra sons.
[25] According to Hanley and Wolf, eds., Family and Population , p. 5: "Although female infanticide was common in some parts of China in difficult times, there is no evidence that the Chinese ever tried to limit the number of sons. . . . In Japan, in sharp contrast, infanticide and abortion were commonplace, not only as a response to natural and social catastrophes, but as a kind of family planning with long-range objectives."

Fig. 5.10.
Male Births by Household Type in Daoyi in Periods of High and Low Grain Prices, 1792–1873 (% change from normal rate)
Note: See notes in Fig. 5.8.

Figure. 5.11.
Male Births by Family Relationship in Daoyi in Periods of High and Low Grain Prices, 1792–1873 (% change from normal rate)
Note: See notes in Fig. 5.8.
But while male birth rates were not as responsive as female birth rates to changes in food prices, we should remember that male death rates were more strongly correlated with prices than female death rates. Girls, in other words, were apparently considered such luxuries that, like wives, they were permitted only when parents were confident that they could support them, albeit at a very low level. Boys, on the other hand, were valued so highly that in even the most marginal of household circumstances they were often allowed to live. Thus while females who survived infancy were unaffected by price fluctuations, males were vulnerable even as adults precisely because they were allowed to survive in poor as well as wealthy households.
Until recently virtually the only attempt at precise demographic measures of a "traditional" rural Chinese population has been the reexamination by G. W. Barclay, A. J. Coale, M. A. Stoto, and T. J. Trussell of the data collected by John Lossing Buck in his 1929–31 survey of Chinese agriculture.[26] Relying very heavily on a body of indirect techniques of demographic estimation, these distinguished demographers concluded that in China, although marriage was both early and universal, fertility was nevertheless extremely low. They furthermore suggested that such low fertility may well have been characteristic of the late imperial period. The problem that then confronted historians of late imperial China was how to explain the sustained rapid rise of Qing population in the face of such low "natural" fertility. The present study, in relying on direct analysis of eighteenth and nineteenth century materials, suggests that such low fertility may well have been the result of fertility control and that the level of "natural" fertility in eighteenth- and nineteenth-century China may in fact have been higher.
This study further suggests that if all Chinese peasants controlled their fertility in response to economic conditions, then the rise in population during the eighteenth and nineteenth centuries may well have been a direct response to significant advances in economic growth. Our findings, in other words, seem to corroborate recent claims by Western as well as Chinese historians of unprecedented agrarian expansion beginning in the eighteenth century and increasingly rapid commercialization beginning in the nineteenth century.[27]
[26] See Buck; G. W. Barclay, A. J. Coale, M. A. Stoto, and T. J. Trussell, "A Reassessment of the Demography of Traditional Rural China," Population Index 42.4 (1976): 606–35.
[27] In English see, for example, Yen-p'ing Hao, The Commercial Revolution in Nineteenth-Century China , (Berkeley and Los Angeles, 1986); Peter Perdue, Exhausting the Earth: State and Peasant in Hunan, 1500–1800 (Cambridge, Mass., 1987); William T. Rowe, Hankow: Commerce and Society in a Chinese City, 1796–1889 (Stanford, 1984). In Chinese see Guo Songyi, "Qingchu fengjian guojia kenhuang zhengce fenxi," Qingshi luncong 2 (1980): 111–38; Guo Songyi, "Qingdai de renkou zengzhang he renkou liuqian," Qingshi luncong 5 (1984): 103–38; Wu Chengming, Zhongguo ziben zhuyi yu guonei shichang (Beijing, 1985); and Xu Dixin and Wu Chengming, Zhongguo ziben zhuyi de mengya (Beijing, 1985).
Finally, this study provides some insights into the complexity of household decision making in eighteenth- and nineteenth-century Daoyi and perhaps by extension (a very wide one to be sure) in China at large. Peasants based their decisions about infanticide on a complex combination of interrelated factors, including economic conditions, household type, position within the household, number and sex of previous children, sex of child, and long-term goals for family size and composition. Food prices were an important factor in this decision-making process, but the equation differed considerably for each individual depending on the other variables. The relative importance of these factors has yet to be determined. We can already appreciate that the study of prices and population ultimately leads to a better understanding of Qing society as well as the Qing economy.