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Property Rights, Labor Mobility and Collectivization: The Impact of Institutional Changes on China’s Agriculture in 1950-1978

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  • Sun, Shengmin
  • Lopez, Rigoberto A.
  • Liu, Xiaoou

Abstract

This paper evaluates the impact of property rights, labor mobility barriers and degrees of collectivization on China’s agricultural growth in 1950-1978. Using a semi-Bayesian stochastic frontier analysis, we find that collective production with free labor mobility and private property rights was the most efficient institutional setting. Although deviations from the two institutions resulted in a decline in agricultural production, the loss in agricultural production from labor mobility barriers was up to five times greater than loss from depriving farmers of private property rights.

Suggested Citation

  • Sun, Shengmin & Lopez, Rigoberto A. & Liu, Xiaoou, 2016. "Property Rights, Labor Mobility and Collectivization: The Impact of Institutional Changes on China’s Agriculture in 1950-1978," Working Paper series 290121, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    • Handle: RePEc:ags:ucozwp:290121
    DOI: 10.22004/ag.econ.290121
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    1. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    2. Griffin, J. E. & Steel, M. F. J., 2004. "Semiparametric Bayesian inference for stochastic frontier models," Journal of Econometrics, Elsevier, vol. 123(1), pages 121-152, November.
    3. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    4. Wei Li & Dennis Tao Yang, 2005. "The Great Leap Forward: Anatomy of a Central Planning Disaster," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 840-877, August.
    5. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    6. Dennis L. Chinn, 1980. "Cooperative Farming in North China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 94(2), pages 279-297.
    7. Anthony M. Tang, 1967. "Agriculture in the Industrialization of Communist China and the Soviet Union," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(5), pages 1118-1134.
    8. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    9. Anthony M. Tang, 1980. "Trend, Policy Cycle, and Weather Disturbance in Chinese Agriculture, 1952–1978," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(2), pages 339-348.
    10. Shenggen Fan, 1991. "Effects of Technological Change and Institutional Reform on Production Growth in Chinese Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 266-275.
    11. Lin, Justin Yifu, 1990. "Collectivization and China's Agricultural Crisis in 1959-1961," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1228-1252, December.
    12. Yang, Xiaokai & Wang, Jiangou & Wills, Ian, 1992. "Economic growth, commercialization, and institutional changes in rural China, 1979-1987," China Economic Review, Elsevier, vol. 3(1), pages 1-37.
    13. Tim Coelli & Sergio Perelman & Elliot Romano, 1999. "Accounting for Environmental Influences in Stochastic Frontier Models: With Application to International Airlines," Journal of Productivity Analysis, Springer, vol. 11(3), pages 251-273, June.
    14. Wen, Guanzhong James, 1993. "Total Factor Productivity Change in China's Farming Sector: 1952-1989," Economic Development and Cultural Change, University of Chicago Press, vol. 42(1), pages 1-41, October.
    15. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    More about this item

    Keywords

    Labor and Human Capital; Public Economics;

    JEL classification:

    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • N55 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Asia including Middle East

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