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Analysis of factors affecting the technical efficiency of arabica coffee producers in Cameroon

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  • Amadou Nchare

Abstract

This study analyses the factors influencing the technical efficiency of arabica coffee farmers in Cameroon. To carry out this analysis, a translog stochastic production frontier function, in which technical inefficiency effects are specified to be functions of socioeconomic variables, is estimated using the maximum-likelihood method. The data used were collected from a sample of 140 farmers during the 2004 crop year. The results obtained show some increasing returns to scale in coffee production. The mean technical efficiency index is estimated at 0.896, and 32% of the farmers surveyed have technical efficiency indexes of less than 0.91. The analysis also reveals that the educational level of the farmer and access to credit are the major socioeconomic variables influencing the farmers’ technical efficiency. Finally, the findings prove that further productivity gains linked to the improvement of technical efficiency may still be realized in coffee production in Cameroon.

Suggested Citation

  • Amadou Nchare, 2007. "Analysis of factors affecting the technical efficiency of arabica coffee producers in Cameroon," Research Papers RP_163, African Economic Research Consortium.
  • Handle: RePEc:aer:rpaper:rp_163
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    File URL: http://www.aercafrica.org/documents/RP_163.pdf
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    1. Hermes, Niels & Lensink, Robert & Meesters, Aljar, 2011. "Outreach and Efficiency of Microfinance Institutions," World Development, Elsevier, vol. 39(6), pages 938-948, June.
    2. Gutiérrez-Nieto, Begoña & Serrano-Cinca, Carlos & Mar Molinero, Cecilio, 2007. "Microfinance institutions and efficiency," Omega, Elsevier, vol. 35(2), pages 131-142, April.
    3. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    4. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
    5. Kaddour Hadri & Cherif Guermat & Julie Whittaker, 2003. "Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data," Journal of Applied Economics, Universidad del CEMA, vol. 6, pages 255-268, November.
    6. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    8. 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.
    9. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
    10. C. Kirkpatrick & V. Murinde & M. Tefula, 2008. "The measurement and determinants of x-inefficiency in commercial banks in Sub-Saharan Africa," The European Journal of Finance, Taylor & Francis Journals, vol. 14(7), pages 625-639.
    11. Ben Bassem, 2008. "Efficiency of Microfinance Institutions in the Mediterranean: An Application of DEA," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 15(2), pages 343-354, September.
    12. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    13. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    14. Primont, Diane F. & Domazlicky, Bruce, 2006. "Student achievement and efficiency in Missouri schools and the No Child Left Behind Act," Economics of Education Review, Elsevier, vol. 25(1), pages 77-90, February.
    15. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
    16. 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.
    17. repec:pal:jorsoc:v:60:y:2009:i:1:d:10.1057_palgrave.jors.2602527 is not listed on IDEAS
    18. 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.
    19. 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.
    20. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    21. Sandrine Kablan, 2009. "African Economic and Monetary Union (WAEMU)," Research Papers RP_192, African Economic Research Consortium.
    22. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    23. Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-363, July.
    24. Fries, Steven & Taci, Anita, 2005. "Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 55-81, January.
    25. 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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    Cited by:

    1. Abatania, Luke N. & Hailu, Atakelty & Mugera, Amin W., 2012. "Analysis of farm household technical efficiency in Northern Ghana using bootstrap DEA," 2012 Conference (56th), February 7-10, 2012, Freemantle, Australia 124211, Australian Agricultural and Resource Economics Society.

    More about this item

    Keywords

    Technical efficiency; stochastic production frontier; arabica coffee; Cameroon;

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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