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Technical Efficiency of Rice-Producing Households in the Mekong Delta of Vietnam

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  • Huy, Huynh Truong

Abstract

Technical Efficiency (TE) is an estimation of the ability of a household to produce the maximum output with the given inputs. It is usually estimated by using the data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Data collected from 261 rice-farming households in the Mekong Delta were used in the empirical analysis. Results show that the average TE among the surveyed households is above 76 percent in both the Constant (CRS) and the Variable Returns to Scale (VRS). The average scale efficiency score for these rice-producing households is nearly one. The determinants of the quantity of rice or yields and of the TE for the households are significantly associated with some variables such as the plot size, seed, and hired labor cost. However, technical inefficiency significantly depends on the farmers’ farming experience and adoption of advanced farming practices.

Suggested Citation

  • Huy, Huynh Truong, 2009. "Technical Efficiency of Rice-Producing Households in the Mekong Delta of Vietnam," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 6(2), pages 1-16, December.
  • Handle: RePEc:ags:phajad:199075
    DOI: 10.22004/ag.econ.199075
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    References listed on IDEAS

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    1. Huynh Truong Huy, 2009. "Technical Efficiency of Rice-Producing Households in the Mekong Delta of Vietnam," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 6(2), pages 35-50, December.
    2. Chen, Yao & Iqbal Ali, Agha, 2002. "Output-input ratio analysis and DEA frontier," European Journal of Operational Research, Elsevier, vol. 142(3), pages 476-479, November.
    3. Minot, Nicholas, 2003. "Income Diversification And Poverty Reduction In The Northern Uplands Of Vietnam," 2003 Annual meeting, July 27-30, Montreal, Canada 22029, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Tijani, A.A., 2006. "Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), pages 1-10, June.
    5. Richard T. Yao & Gerald E. Shively, 2007. "Technical Change and Productive Efficiency: Irrigated Rice in the Philippines," Asian Economic Journal, East Asian Economic Association, vol. 21(2), pages 155-168, June.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    7. 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.
    8. 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:

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    2. Phuc Trong Ho & Pham Xuan Hung & Nguyen Duc Tien, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 13(2), pages 120-129.

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