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Farm-size-specific technical efficiency: A stochastic frontier analysis for rice growers in Bangladesh

Author

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  • Rahman, K M M
  • Mia, M I
  • Alam, M A

Abstract

The study was conducted during 2008-2009 to estimate the farm-size-specific technical efficiency of rice growers. The technical efficiency scores were estimated using stochastic production frontiers. The large farms received the highest yield (4772.83 kg) per hectare while marginal farms received the lowest yield (4610.53 kg). Gross return was found to be the highest for small farms and net return was the highest for marginal farms. The marginal farm experienced the highest benefit-cost ratio (BCR) followed by small, medium and large farm respectively. The average technical efficiency for large, medium, small, marginal and all farms were respectively 0.88, 0.92, 0.94, 0.75 and 0.88. There was significant technical inefficiency in the production of rice for marginal farms indicating that production could be increased by increasing efficiency with the existing technology for marginal farms. Farm management could help in increasing production in marginal farms. For other farms,increased managerial capacity was not enough for increasing production. New investment and advanced technology were needed to increase production in these farms. Farmers could increase 12 percent output with application of inputs and production technology at the aggregate level. The costs of fertiliser, manure, irrigation, insecticide and area and experience were important factors to increase production. Age, education and family size had negative impact on technical inefficiency whereas land had positive impact on technical inefficiency.

Suggested Citation

  • Rahman, K M M & Mia, M I & Alam, M A, 2012. "Farm-size-specific technical efficiency: A stochastic frontier analysis for rice growers in Bangladesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 35(1-2).
  • Handle: RePEc:ags:bdbjaf:196769
    DOI: 10.22004/ag.econ.196769
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    References listed on IDEAS

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    1. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    2. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    3. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    4. K. P. Kalirajan & J . C. Flinn*, 1983. "The Measurement Of Farm-Specific Technical Efficiency," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 2(2), pages 167-180.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Herdt, R W & Mandac, A M, 1981. "Modern Technology and Economic Efficiency of Philippine Rice Farmers," Economic Development and Cultural Change, University of Chicago Press, vol. 29(2), pages 375-399, January.
    7. Baffes, John & Gautam, Madhur, 2001. "Assessing the sustainability of rice production growth in Bangladesh," Food Policy, Elsevier, vol. 26(5), pages 515-542, October.
    8. Rahman, Khandaker Md. Mostafizur & Schmitz, Peter Michael & Wronka, Tobias C., 1999. "Impact Of Farm-Specific Factors On The Technical Inefficiency Of Producing Rice In Bangaldesh," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 22(2), pages 1-24, December.
    9. 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.
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