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Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

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  • Furong Chen

    (Chinese Academy of Agricultural Sciences, Institute of Agricultural Economics and Development, Beijing 100089, China)

  • Yifu Zhao

    (Chinese Academy of Agricultural Sciences, Institute of Agricultural Economics and Development, Beijing 100089, China)

Abstract

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

Suggested Citation

  • Furong Chen & Yifu Zhao, 2019. "Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5225-:d:270116
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    References listed on IDEAS

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    1. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    2. Babakholov Sherzod & Kyung-Ryang Kim & Sang Hyeon Lee, 2018. "Agricultural Transition and Technical Efficiency: An Empirical Analysis of Wheat-Cultivating Farms in Samarkand Region, Uzbekistan," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
    3. James Odeck, 2007. "Measuring technical efficiency and productivity growth: a comparison of SFA and DEA on Norwegian grain production data," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2617-2630.
    4. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    5. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    6. Chen, Adam Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2003. "Technical Efficiency Of Chinese Grain Production: A Stochastic Production Frontier Approach," 2003 Annual meeting, July 27-30, Montreal, Canada 22116, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. JIANG,Mengyuan & QI,Chunjie, 2018. "Measurement and Analysis of Agricultural Production Efficiency in Taiwan of China Based on Three-stage DEA Model," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 10(07), July.
    8. Weiming Tian & Guang Wan, 2000. "Technical Efficiency and Its Determinants in China's Grain Production," Journal of Productivity Analysis, Springer, vol. 13(2), pages 159-174, March.
    9. Thiam, Abdourahmane & Bravo-Ureta, Boris E. & Rivas, Teodoro E., 2001. "Technical efficiency in developing country agriculture: a meta-analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 235-243, September.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    11. 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.
    12. 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.
    13. Siyan Zeng & Fengwu Zhu & Fu Chen & Man Yu & Shaoliang Zhang & Yongjun Yang, 2018. "Assessing the Impacts of Land Consolidation on Agricultural Technical Efficiency of Producers: A Survey from Jiangsu Province, China," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
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