Abstract
The functioning of rural markets and the impact of modernization on them in modern China has long been controversial. This study revisits this issue drawing on micro-survey data collected by the Manchuria Railway Survey Department of Japan in modern Northeast China during the 1930s. Specifically, we systematically test whether rural markets were complete exploiting newly developed methods in agriculture economics and investigate how the progress of modernization affected these markets. The results show that even in the Northeast, where land is relatively abundant, rural markets did not conform to the assumption of complete markets, and excess labor was still prevalent among farm households. We also find that cash crop cultivation significantly contributed to factor allocation efficiency, but modern industrial and commercial development did not have this effect due to its failure to absorb labors sufficiently. Finally, an intertemporal comparison using data from contemporary rural households reveals that the remarkable success of non-farm labor transfers has brought contemporary rural markets closer to complete markets. This study not only provides new evidence concerning the controversy of rural markets’ function in modern times, but also provides insights to promote structural transformation and factor allocation in developing countries.

Source: the 1934–1936 Manchurian rural survey reports

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Notes
Notably, not all scholars have expressed clear support or opposition to these perspectives, and many compromise views have emerged. For example, Xia (2005) asserted that the rural market in modern Northern China was highly competitive, but remains an “over-dense market.” Regarding the controversy of modern rural economic concerns, please refer to the reviews such as Myers (1991) and Wiens (1993) for details.
Note that even though some markets, particularly financial markets, are absent, agents can sign interlinking contracts that can partially compensate for the absence of these markets and formal institutions. For example, ex-ante payment in a labor-hiring contract may function as a credit device. For more discussions, one can refer to Brandt and Hosios (1996).
If separability is not satisfied, it can be verified that the markets are incomplete. Therefore, in this study, the concepts of market completeness, the separability of production and preference, market clearing, and optimal factor allocation efficiency have the same meaning. For a more detailed theoretical discussion, see, for example, Dillon et al. (2019).
Using the same set of rural micro-survey data, existing studies have conducted relevant research on the rural market in Northeast China at that time. For example, Benjamin and Brandt (1997) found that factor markets were not complete but were functioning well, and active factor markets could reduce farmers’ income inequality. Huang et al. (2022) also found that although the land market was active at that time, it was not in a clear state. The findings of this paper further confirm these conclusions. In addition, Kung and Li (2011) and Huang and Li (2023) both found that the impact of modern international soybean trade had a positive impact on farmers’ wealth.
6 The characteristic of the rural economy in Northeast China during the modern era is its active factor market, particularly the lack of obvious institutional obstacles in land transfer in the market. A notable contemporary feature is that the market-oriented reform of factor flows has generated a significant amount of non-agricultural labor transfer; therefore, we emphasize the importance of non-agricultural employment opportunities in our conclusion. Of course, many factors affect the functioning of the rural economy, such as the dual oppression of feudalism and imperialism that farmers faced in modern times. The essential differences in social and economic systems may render the modern and contemporary contexts not directly comparable, so this study takes only a long-term economic perspective. Similar intertemporal comparisons have been made, e.g., in Benjamin and Brandt (1999).
7 Research group of Northeast Resource Regulation Committee: “Northeast Economy Series: Agriculture” (Production Part), Jinghua Printing House, 1948, pp.4–5.
8 Yao Yongchao, Vol. 9 Economic Geography of Modern China: Modern Economic Geography of Northeast China, East China Normal University Press, 2014, p. 303.
According to the micro-survey data of Manchuria Railway used in this article, the proportion of farmers who obtain loans from large institutions such as the Manchuria Central Bank by mortgaging their land is only 10%.
10 Considering the safety of investigators, the surveyed villages were mainly located near county towns. Although this fact will lower the generality of our findings since remote villages were excluded from the sample, it also brings one merit, i.e., it helps to investigate the impact of modernization better since remote villages might not be affected.
Note that in the data of Buck (1937), the values of the board expense that the employers provided are available (also in unit of yuan). By substituting these figures for the per capita consumption, the real wages remain almost unchanged.
Family preference can involve various factors such as total consumption of agricultural products, preference for specific agricultural products, balance between labor and leisure, and other concerns that are generally related to factors such as households’ demographics.
13 We can also introduce restrictions on land and capital markets, which are omitted for the sake of simplicity because the results are consistent with those of labor markets, as in Dillon et al. (2019).
Note that if the markets were complete, the labor market would be clear, which means the optimal \({L}_{f}^{*}\) only depends on exogenous prices, such as \(p\) and \(w\).
The problem with Benjamin’s test method mentioned above can be addressed by combining it with panel data to determine whether there is a surplus or shortage of the labor force through the asymmetry of household members increase or decrease in population (Dillon et al. 2019). However, the historical data used in this paper are cross-sectional data from a single survey, so the method based on panel data cannot be applied.
In practice, the test methods of Benjamin (1992) and Jacoby (1993) may lead to opposite conclusions, so the method of Le (2010) can cross-check the two methods and only need the information of the total output value without the detailed information of the quantity and price of each input and output. It does not need to estimate the output elasticity accurately, so it has the characteristics of simplicity and flexibility.
The literature on rural market completeness tests (\(\overline{{L }_{i}}\)) is generally composed of the number of labor endowments in a household (size effect) and the proportion of age groups (composition effect). If the combination of these variables is insignificant, the hypothesis of market completeness cannot be rejected (LaFave and Thomas,2016).
According to the survey reports, most of the villagers carried their agricultural products to the nearest town for transactions. To avoid outliers in deal prices, we calculate the average price at the village level.
In the sample used in this study, 1,911 rural households are included. Since we primarily investigate the relationship between households’ agricultural production decisions and variables such as family factor endowment and market environment, we obtained a total of 1,198 observed values after excluding the sample of households in which families did not engage in farming.
In related literature, the wages obtained by rural households in wage labor are generally used as market wages; however, in the data used in this study, only about 11% of rural households received annual wages. Therefore, we use the average annual wage at the village level as a proxy variable for market wage. In addition, although farmers received most of their wages as seasonal day laborers, they were not employed as day laborers during most of the year. Thus, we compare the value of agricultural output, which is an annual variable, with the wage of annual workers.
Under the market-clear assumption of neoclassical economics, the two should always remain equal.
As the data from this survey are cross-sectional data from a single survey, we do not have exact demographic information from three or five years ago. In this regard, we can only use the age of each member in the current demographic information minus the number of years lagged and recalculate the household labor equivalent of several years ago as an IV.
Notably, in all the regression analyses in this study, the construction of the main variable does not involve labor output elasticity; therefore, its value does not affect our regression results, but only the calculation of shadow wages.
Soybeans were the main cash crop in Northeast China in modern times. We derive the potential crop output data from the United Nations Food and Agriculture Organization Global Agro-Ecological Zones database, version 4. The database calculates the theoretical maximum yield for each crop in each grid based on local natural conditions such as soil and climate.
Among crops, wheat is another important cash crop in North Manchuria, and its volume for sale accounted for 50.7% of total production. In addition, the major crops (and unit prices in dan/yuan) were soybeans (4.02), wheat (5.62), sorghum (3.12), millet (3.30), and corn (2.92). The unit prices of cash crops (soybeans and wheat) were higher than other three major food crops.
According to Huang and Li (2023), cultivation for cash crops was more labor-intensive than food crops that means the expansion of cash crops can absorb more agricultural labor.
According to Huang et al. (2022), major cities in Manchuria include Qiqihaer, Harbin, Changchun, Jilin, Shenyang, Dalian, and Yingkou, which were mainly built as early Russian or Japanese dependent territory of railways.
In this survey data, the non-agricultural income of farmers mainly includes the income from engaging in industry and commerce and the wages of migrant workers.
Since the survey data of micro-farmers in Northeast China in modern times only contained the data of household cash income (including agricultural and non-agricultural), and some agricultural products were not sold in the market, their value was not included in the cash income. As a result, the proportion of non-agricultural income in modern times (34%) in Table 11 is actually overestimated.
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This work was supported by the National Natural Science Foundation of China (Grant No. 72363003).
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Appendix
Appendix
See Fig. 3 and Tables 12, 13, 14, 15, 16 and 17.

Source: Location of observation is from Manchuria Village Surveys in the 1930s
Location of villages in the 1934–1936 Manchurian village survey.
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Huang, T., Quan, Y., Li, N. et al. Revisiting the functioning of rural markets: a long-term investigation based on micro-surveys in Northeast China. Cliometrica 20, 221–263 (2026). https://doi.org/10.1007/s11698-025-00314-w
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DOI: https://doi.org/10.1007/s11698-025-00314-w
