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Technological change, technical and allocative efficiency in Chinese agriculture: the case of rice production in Jiangsu

  • Fan, Shenggen

This paper develops a frontier shadow cost function approach to estimate empirically the effects of technological change, technical and allocative efficiency improvement in Chinese agriculture during the reform period (1980-93). The results reveal that the first phase rural reforms (1979-84) which focused on the decentralization of the production system have had significant impact on technical efficiency but not allocative efficiency. During the second phase reforms which was supposed to focus on the liberalization of rural markets, technical efficiency improved very little and allocative efficiency has increased only slightly, however. In contrast, the rate of technological change continued to increase, although at a declining rate during the second phase reform.

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Paper provided by International Food Policy Research Institute (IFPRI) in its series EPTD discussion papers with number 39.

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Date of creation: 1999
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Handle: RePEc:fpr:eptddp:39
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  1. Parker Elliott, 1995. "Shadow Factor Price Convergence and the Response of Chinese State-Owned Construction Enterprises to Reform," Journal of Comparative Economics, Elsevier, vol. 21(1), pages 54-81, August.
  2. Atkinson, Scott E & Halvorsen, Robert, 1980. "A Test of Relative and Absolute Price Efficiency in Regulated Utilities," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 81-88, February.
  3. McMillan, John & Whalley, John & Zhu, Lijing, 1989. "The Impact of China's Economic Reforms on Agricultural Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 781-807, August.
  4. Ali, Farman & Parikh, Ashok & Shah, Mir Kalan, 1996. "Measurement of economic efficiency using the behavioral and stochastic cost frontier approach," Journal of Policy Modeling, Elsevier, vol. 18(3), pages 271-287, June.
  5. Fan, Shenggen & Ruttan, Vernon W., 1991. "Induced Technical Change in Centrally Planned Economies," Bulletins 7469, University of Minnesota, Economic Development Center.
  6. Jirong Wang & Eric J. Wailes & Gail L. Cramer, 1996. "A Shadow-Price Frontier Measurement of Profit Efficiency in Chinese Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(1), pages 146-156.
  7. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
  8. Sicular, Terry, 1988. "Plan and Market in China's Agricultural Commerce," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 283-307, April.
  9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  10. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
  11. Lovell, C A Knox & Sickles, Robin C, 1983. "Testing Efficiency Hypotheses in Joint Production: A Parametric Approach," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 51-58, February.
  12. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
  13. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
  14. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-43, February.
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