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Estimating crop-specific production technologies in Chinese agriculture: a generalized maximum entropy approach

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  • Zhang, Xiaobo
  • Fan, Shenggen

Abstract

A Generalized Maximum Entropy (GME) approach is adapted to empirically estimate crop-specific production technologies in Chinese agriculture. Despite a modest behavior assumption about equal marginal returns of non-land inputs among crops, this method does not require price information, which is usually distorted in a centrally planned economy such as China. Multi-output technologies for seven regions over more than two decades are estimated, and input allocations for each province are recovered simultaneously. The estimated multi-output production technology and input allocations imply that China may have greater grain production potentials than previously thought.

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series EPTD discussion papers with number 50.

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Date of creation: 1999
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Handle: RePEc:fpr:eptddp:50

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Keywords: Technology.; Crops China.;

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Cited by:
  1. Rui Fragoso & Maria Leonor Carvalho, 2011. "Estimation of Cost Allocation Coefficients at the Farm Level Using an Entropy Approach," CEFAGE-UE Working Papers 2011_21, University of Evora, CEFAGE-UE (Portugal).
  2. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
  3. Xiaohua Yu & Guoqing Zhao, 2009. "Chinese agricultural development in 30 years: A literature review," Frontiers of Economics in China, Springer, vol. 4(4), pages 633-648, December.
  4. Diao, Xinshen & Fan, Shenggen & Zhang, Xiaobo, 2003. "China's WTO accession: impacts on regional agricultural income-- a multi-region, general equilibrium analysis," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 332-351, June.
  5. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
  6. Diao, Xinshen & Fan, Shenggen & Zhang, Xiaobo, 2002. "How China's WTO accession affects rural economy in the less-developed regions," TMD discussion papers 87, International Food Policy Research Institute (IFPRI).
  7. Zhu, Jing & Zhu, J., 2003. "Public Investment And China'S Grain Production Competitiveness Under Wto," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25825, International Association of Agricultural Economists.
  8. Petsakos, Athanasios & Rozakis, Stelios, 2011. "Integrating risk and uncertainty in PMP models," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114762, European Association of Agricultural Economists.
  9. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2007. "Generating plausible crop distribution and performance maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach:," IFPRI discussion papers 725, International Food Policy Research Institute (IFPRI).
  10. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2009. "Generating plausible crop distribution maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach," Agricultural Systems, Elsevier, vol. 99(2-3), pages 126-140, February.

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