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Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh

Listed author(s):
  • Zahidul Islam, K.M.
  • Sumelius, John
  • Bäckman, Stefan
Registered author(s):

    This paper estimates the technical efficiency of traditional variety (TV) and highyielding-variety (HYV) rice producers in Bangladesh as well as explores the determinants of HYV rice adoption in a survey data from 360 farmers for the 2008/09 growing seasons. Estimates by stochastic frontier analysis indicated that in spite of its much yield potential, HYV rice production was associated with lower technical efficiency and had a greater variability in yield. Results indicated that technical efficiency of HYV and TV rice were related to age, experience, off-farm income, extension visits, and access to microfinance. A Tobit analysis revealed that the adoption of HYV rice was significantly and positively influenced by farmers’ age and experience, level of technical efficiency, irrigation coverage, off-farm incomes, access to microfinance, perception of yield and membership of village-local groups.

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    File URL: http://purl.umn.edu/253500
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    Article provided by Greek Association of Agricultural Economists in its journal Agricultural Economics Review.

    Volume (Year): 13 (2012)
    Issue (Month): 1 (January)
    Pages:

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    Handle: RePEc:ags:aergaa:253500
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    1. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    2. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    3. Bozoglu, Mehmet & Ceyhan, Vedat, 2007. "Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey," Agricultural Systems, Elsevier, vol. 94(3), pages 649-656, June.
    4. Nguyen, Khac Minh & Giang, Thanh Long, 2009. "Efficiency Estimates for the Agricultural Production in Vietnam: A Comparison of Parametric and Non-parametric Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(2), June.
    5. Wozniak, Gregory D, 1993. "Joint Information Acquisition and New Technology Adoption: Late versus Early Adoption," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 438-445, August.
    6. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    7. Ahmed, Raisuddin & Haggblade, Steven & Chowdhury, Tawfiq-e-Elahi (ed.), 2000. "Out of the shadow of famine: evolving food markets and food policy in Bangladesh," IFPRI books, International Food Policy Research Institute (IFPRI), number 0-8018-6476-3.
    8. Philip J. Dawson & John Lingard & Christopher H. Woodford, 1991. "A Generalized Measure of Farm-Specific Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1098-1104.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. 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(02), August.
    11. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    12. Doss, Cheryl R. & Morris, Michael L., 2001. "How does gender affect the adoption of agricultural innovations? The case of improved maize technology in Ghana," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(1), June.
    13. Holloway, Garth & Shankar, Bhavani & Rahman, Sanzidur, 2002. "Bayesian spatial probit estimation: a primer and an application to HYV rice adoption," Agricultural Economics, Blackwell, vol. 27(3), pages 383-402, November.
    14. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
    15. Bera, Anil K. & Kelley, Timothy G., 1990. "Adoption of high yielding rice varieties in Bangladesh : An econometric analysis," Journal of Development Economics, Elsevier, vol. 33(2), pages 263-285, October.
    16. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(01), pages 88-101, April.
    17. Joachim Binam & Kalilou Sylla & Ibrahim Diarra & Gwendoline Nyambi, 2003. "Factors Affecting Technical Efficiency among Coffee Farmers in Côte d’Ivoire: Evidence from the Centre West Region," African Development Review, African Development Bank, vol. 15(1), pages 66-76.
    18. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 9(4), December.
    19. Abdulai, Awudu & Eberlin, Richard, 2001. "Technical efficiency during economic reform in Nicaragua: evidence from farm household survey data," Economic Systems, Elsevier, vol. 25(2), pages 113-125, June.
    20. Shiyani, R. L. & Joshi, P. K. & Asokan, M. & Bantilan, M. C. S., 2002. "Adoption of improved chickpea varieties: KRIBHCO experience in tribal region of Gujarat, India," Agricultural Economics, Blackwell, vol. 27(1), pages 33-39, May.
    21. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    22. 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.
    23. Binam, Joachim Nyemeck & Tonye, Jean & wandji, Njankoua & Nyambi, Gwendoline & Akoa, Mireille, 2004. "Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon," Food Policy, Elsevier, vol. 29(5), pages 531-545, October.
    24. 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.
    25. 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.
    26. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
    27. Azam, Jean-Paul, 1996. "The impact of floods on the adoption rate of high-yielding rice varieties in Bangladesh," Agricultural Economics, Blackwell, vol. 13(3), pages 179-189, February.
    28. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non-parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626.
    29. 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.
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