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Potential of China's grain production: evidence from the household data

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  • Yiping Huang
  • K.P. Kalirajan

Abstract

This study investigates whether China has achieved its potential in grain production fully with the existing technology. A stochastic varying coefficients frontier approach is applied on recent household survey data of 1000 grain farmers covering the periods 1993–95. The results indicate that, on average, the actual grain outputs are about 15–35% lower than the potential output. The analysis has identified households' human capital stock, land size and market‐oriented reform as important factors contributing positively to grain production efficiency.

Suggested Citation

  • Yiping Huang & K.P. Kalirajan, 1997. "Potential of China's grain production: evidence from the household data," Agricultural Economics, International Association of Agricultural Economists, vol. 17(2-3), pages 191-199, December.
    • Handle: RePEc:bla:agecon:v:17:y:1997:i:2-3:p:191-199
    DOI: 10.1111/j.1574-0862.1997.tb00473.x
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    Cited by:

    1. Hubacek, Klaus & Sun, Laixiang, 2001. "A scenario analysis of China's land use and land cover change: incorporating biophysical information into input-output modeling," Structural Change and Economic Dynamics, Elsevier, vol. 12(4), pages 367-397, December.
    2. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    3. 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.
    4. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    5. Kwon, Oh Sang & Lee, Hyunok, 2004. "Productivity improvement in Korean rice farming: parametric and non-parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 1-24.
    6. Unknown, 1998. "Grain Market Reform in China: Global Implications," Technical Reports 113816, Australian Centre for International Agricultural Research.
    7. Sizhong Sun, 2006. "Technical Efficiency and Its Determinants in Gansu, West China," Microeconomics Working Papers 21834, East Asian Bureau of Economic Research.
    8. Christopher Findlay, 1997. "Grain Sector Reform in China," Chinese Economies Research Centre (CERC) Working Papers 1997-01, University of Adelaide, Chinese Economies Research Centre.
    9. Chang, Hung-Hao & Wen, Fang-I, 2008. "Off-farm Work, Technical Efficiency, and Production Risk: Empirical Evidence from a National Farmer Survey in Taiwan," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6164, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Oh Sang Kwon & Hyunok Lee, 2004. "Productivity improvement in Korean rice farming: parametric and non‐parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 323-346, June.
    11. Hailemariam Teklewold, 2021. "How effective is Ethiopia’s agricultural growth program at improving the total factor productivity of smallholder farmers?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 895-912, August.
    12. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Wang, Xiaobing & Hockmann, Heinrich, 2012. "Technical Efficiency Under Producer’S Individual Technology: A Metafrontier Analysis," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126755, International Association of Agricultural Economists.
    14. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    15. K. Hubacek & L. Sun, 1999. "Land Use Change in China: A Scenario Analysis Based on Input- Output Modeling," Working Papers ir99073, International Institute for Applied Systems Analysis.
    16. Uaiene, Rafael N. & Arndt, Channing, 2009. "Farm Household Efficiency In Mozambique," 2009 Conference, August 16-22, 2009, Beijing, China 51438, International Association of Agricultural Economists.
    17. Xin Zhang & Xinling Zhang, 2022. "Total Factor Productivity of Herdsmen Animal Husbandry in Pastoral Areas: Regional Differences and Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    18. 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.

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