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Improvement of Technical Efficiency in Rice Farming through Interplanting: A Stochastic Frontier Analysis in Yunnan, China

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Listed:
  • Imelda M. Revilla-Molina
  • Lammert Bastiaans
  • Herman Van Keulen
  • Twng Wah W. Mew
  • Y.Y. Zhu
  • Renato Andrin Villano

Abstract

We gathered survey data from a random sample of 200 farmer adopters and 59 nonadopters of rice interplanting in Yunnan Province, China in 2000. The data were used to analyze the effect of interplanting on technical efficiency of rice production and to identify the sources of inefficiency, using a stochastic frontier production function. Results showed that adoption of rice interplanting was the major contributing factor to increased technical efficiency in rice production. Separate analyses for adopters and nonadopters clearly showed that although rice interplanting was mainly aimed at controlling blast disease, the absence of the disease also increased the productivity of other inputs like labour, seeds and fertilizer. Farming experience and access to extension were both significant variables for improving technical efficiency. As a farmer’s experience increases, so do his skills in optimally allocating the resources at his/her disposal. The more experience a farmer has, the higher his output and the higher the technical efficiency. Similarly, farmers who had access to extension agents readily adopted the interplanting technology and as a result performed better.

Suggested Citation

  • Imelda M. Revilla-Molina & Lammert Bastiaans & Herman Van Keulen & Twng Wah W. Mew & Y.Y. Zhu & Renato Andrin Villano, 2008. "Improvement of Technical Efficiency in Rice Farming through Interplanting: A Stochastic Frontier Analysis in Yunnan, China," DEGIT Conference Papers c013_015, DEGIT, Dynamics, Economic Growth, and International Trade.
  • Handle: RePEc:deg:conpap:c013_015
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    References listed on IDEAS

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    1. Wang, Jirong & Cramer, Gail L. & Wailes, Eric J., 1996. "Production efficiency of Chinese agriculture: evidence from rural household survey data," Agricultural Economics, Blackwell, vol. 15(1), pages 17-28, September.
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    3. Xu, Xiaosong & Jeffrey, Scott R., 1998. "Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 18(2), March.
    4. Fan, Shenggen & Cramer, Gail & Wailes, Eric, 1994. "Food demand in rural China: evidence from rural household survey," Agricultural Economics, Blackwell, vol. 11(1), pages 61-69, September.
    5. Xu, Xiaosong & Jeffrey, Scott R., 1998. "Efficiency and technical progress in traditional and modern agriculture: evidence from rice production in China," Agricultural Economics, Blackwell, vol. 18(2), pages 157-165, March.
    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. 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.
    8. 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.
    9. 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.
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    Cited by:

    1. Singh, Kehar & Dey, Madan Mohan & Rabbani, Abed G. & Sudhakaran, Pratheesh O. & Thapa, Ganesh, 2009. "Technical Efficiency of Freshwater Aquaculture and its Determinants in Tripura, India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(2).

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