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Estimation of Technical Efficiency for Rice Farms in Central Thailand Using Stochastic Frontier Approach

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  • Taraka, Kallika
  • Latif, Ismail Abd.
  • Shamsudin, Mad Nasir
  • Sidique, Shaufique bin Ahmad

Abstract

As one of Thailand’s economic crops, rice plays an important role in generating national income and creating domestic employment for the country. Its production has been increasing because of the expansion of areas planted to rice and not due to increases in productivity. The national average yield is considerably low compared with that of other rice-producing countries. This study measured the technical efficiency of rice farmers in the central region of Thailand and identified the factors causing technical inefficiency using stochastic frontier analysis (SFA) approach specified as a translog production function. Cross-sectional data were randomly collected from 384 sampled farmers from nine provinces of central Thailand who generally operated their farms using pre-germinated broadcasting method in the major rice crop year 2009/2010. Results reveal that technical efficiency ranged from 49.69 to 97.17 percent, with a mean of 85.35 percent. Gender, farming experience, good agricultural practices (GAP), and cropping intensity were found to contribute positively toward farm technical efficiency. Farmers should be provided knowledge of GAP and should adopt GAP in their farms’ activities. Agricultural extension officers should organize knowledge and experience exchange between successful farmers and other farmers, and promote the use of certified seeds to improve farm efficiency and farmers’ income.

Suggested Citation

  • Taraka, Kallika & Latif, Ismail Abd. & Shamsudin, Mad Nasir & Sidique, Shaufique bin Ahmad, 2012. "Estimation of Technical Efficiency for Rice Farms in Central Thailand Using Stochastic Frontier Approach," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 9(2), pages 1-11, December.
  • Handle: RePEc:ags:phajad:199098
    DOI: 10.22004/ag.econ.199098
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    References listed on IDEAS

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    1. Lassaad Lachaal & Boubaker Karray & Boubaker Dhehibi & Ali Chebil, 2005. "Technical Efficiency Measures and Its Determinants for Olive Producing Farms in Tunisia: A Stochastic Frontier Analysis," African Development Review, African Development Bank, vol. 17(3), pages 580-591.
    2. Begum, Ismat Ara & Buysse, Jeroen & Alam, Mohammad Jahangir & Van Huylenbroeck, Guido, 2009. "An application of Data Envelopment Analysis (DEA) to Evaluate Economic Efficiency of Poultry Farms in Bangladesh," 2009 Conference, August 16-22, 2009, Beijing, China 50900, International Association of Agricultural Economists.
    3. A. Parikh & K. Shah, 1994. "Measurement Of Technical Efficiency In The North‐West Frontier Province Of Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 132-138, January.
    4. Igbekele Ajibefun & Adebiyi Daramola & Abiodun Falusi, 2006. "Technical efficiency of small scale farmers: An application of the stochastic frontier production function to rural and urban farmers in Ondo State, Nigeria," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 87-107.
    5. 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.
    6. 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.
    7. 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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    3. Wirat Krasachat, 2023. "The Effect of Good Agricultural Practices on the Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 15(1), pages 1-25, January.
    4. Roengchai Tansuchat, 2023. "A Copula-Based Meta-Stochastic Frontier Analysis for Comparing Traditional and HDPE Geomembranes Technology in Sea Salt Farming among Farmers in Phetchaburi, Thailand," Agriculture, MDPI, vol. 13(4), pages 1-23, March.
    5. World Bank, 2020. "No One Left Behind," World Bank Publications - Reports 34163, The World Bank Group.
    6. Thi-Hien Vu & Ke-Chung Peng & Rebecca H. Chung, 2019. "Evaluation of Environmental Efficiency of Edible Canna Production in Vietnam," Agriculture, MDPI, vol. 9(11), pages 1-14, November.

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