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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. Chen, Zhuo & Huffman, Wallace & Rozelle, Scott, 2006. "Farm Technology and Technical Efficiency: Evidence from Four Regions in China," Staff General Research Papers 12605, Iowa State University, Department of Economics.
  2. Gruère, Guillaume P., 2006. "An analysis of trade related international regulations of genetically modified food and their effects on developing countries:," EPTD discussion papers 147, International Food Policy Research Institute (IFPRI).
  3. 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).
  4. 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.
  5. Philip Pardey & Julian Alston & Connie Chan-Kang & Eduardo Magalhães & Stephen Vosti, 2003. "Assessing and Attributing the Benefits from Varietal Improvement Research: Evidence from Embrapa, Brazil," Centre for International Economic Studies Working Papers 2003-06, University of Adelaide, Centre for International Economic Studies.
  6. 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.
  7. Block, Paul J. & Strzepek, Kenneth & Rosegrant, Mark W. & Diao, Xinshen, 2006. "Impacts of considering climate variability on investment decisions in Ethiopia:," EPTD discussion papers 150, International Food Policy Research Institute (IFPRI).
  8. Linacre, Nicholas & Falck-Zepeda, José & Komen, John & MacLaren, Donald, 2006. "Risk assessment and management of genetically modified organisms under Australia's Gene Technology Act:," EPTD discussion papers 157, International Food Policy Research Institute (IFPRI).
  9. Gruère, Guillaume & Giuliani, Alessandra & Smale, Melinda, 2006. "Marketing underutilized plant species for the benefit of the poor: a conceptual framework," EPTD discussion papers 154, International Food Policy Research Institute (IFPRI).
  10. Smale, Melinda & Zambrano, Patricia & Falck-Zepeda, José & Gruère, Guillaume, 2006. "Parables: applied economics literature about the impact of genetically engineered crop varieties in developing economies," EPTD discussion papers 158, International Food Policy Research Institute (IFPRI).
  11. 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).
  12. Falck Zepeda, José & Barreto-Triana, Nancy & Baquero-Haeberlin, Irma & Espitia-Malagón, Eduardo & Fierro-Guzmán, Humberto & López, Nancy, 2006. "An exploration of the potential benefits of integrated pest management systems and the use of insect resistant potatoes to control the Guatemalan Tuber Moth (Tecia solanivora Povolny) in Ventaquemada,," EPTD discussion papers 152, International Food Policy Research Institute (IFPRI).
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. Kefyalew Endale, 2011. "Fertilizer Consumption and Agricultural Productivity in Ethiopia," Working Papers 003, Ethiopian Development Research Institute - EDRI.
  18. Di Falco, Salvatore & Chavas, Jean-Paul & Smale, Melinda, 2006. "Farmer management of production risk on degraded lands: the role of wheat genetic diversity in Tigray Region, Ethiopia," EPTD discussion papers 153, International Food Policy Research Institute (IFPRI).
  19. 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.
  20. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), April.

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