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Technical Efficiency And Productivity Potential Of Cocoa Farmers In West African Countries

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  • Joachim Nyemeck BINAM
  • Jim GOCKOWSKI
  • Guy Blaise NKAMLEU

Abstract

This paper uses survey data to examine the technical efficiency and productivity potential of cocoa farmers in West and Central Africa. Separate stochastic frontier models are estimated for farmers in Cameroon, Ghana, Nigeria, and Côte d’Ivoire, along with a stochastic metaproduction frontier to obtain alternative estimates for the technical efficiencies of farmers in the different countries. The mean productivity potential of cocoa farmers is also estimated, by using a decomposition result applied to both the national and the metaproduction frontiers. The determinants of technical efficiency are assessed to identify the reasons for differences across countries.

Suggested Citation

  • Joachim Nyemeck BINAM & Jim GOCKOWSKI & Guy Blaise NKAMLEU, 2008. "Technical Efficiency And Productivity Potential Of Cocoa Farmers In West African Countries," The Developing Economies, Institute of Developing Economies, vol. 46(3), pages 242-263, September.
  • Handle: RePEc:bla:deveco:v:46:y:2008:i:3:p:242-263
    DOI: 10.1111/j.1746-1049.2008.00065.x
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    References listed on IDEAS

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    1. Gershon Feder & Rinku Murgai & Jaime B. Quizon, 2004. "Sending Farmers Back to School: The Impact of Farmer Field Schools in Indonesia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(1), pages 45-62.
    2. Ruttan, Vernon W., 1987. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 12(3), pages 196-216, August.
    3. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Ruttan, Vernon W. & Hayami, Yujiro, 1971. "Technology Transfer And Agricultural Development," Staff Papers 13993, University of Minnesota, Department of Applied Economics.
    6. Anderson, Richard G & Thursby, Jerry G, 1986. "Confidence Intervals for Elasticity Estimators in Translog Models," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 647-656, November.
    7. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    8. Zeller, Manfred & Diagne, Aliou & Mataya, Charles, 1998. "Market access by smallholder farmers in Malawi: implications for technology adoption, agricultural productivity and crop income," Agricultural Economics, Blackwell, vol. 19(1-2), pages 219-229, September.
    9. 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.
    10. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    11. Zeller, Manfred & Schrieder, Gertrud & von Braun, Joachim & Heidhues, Franz, 1997. "Rural finance for food security for the poor," Food policy reviews 4, International Food Policy Research Institute (IFPRI).
    12. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    13. 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.
    14. 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.
    15. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
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