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Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach

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  • Singbo, Alphonse G.
  • Emvalomatis, Grigorios
  • Alfons, Oude Lansink

Abstract

A non-neutral stochastic distance function model is used to examine whether output specialization has an impact on the economic performance of vegetable producers in Benin. Specialization is assumed to have an effect on the production frontier and on the distance to the production frontier (technical inefficiency). The technology is found to exhibit diseconomies of scope, indicating that vegetable producers have an incentive for specialization. At the same time, the degree of specialization has a positive effect on technical efficiency. From a policy perspective, the findings imply that current government policies to encourage diversification may lead to a lower performance.

Suggested Citation

  • Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:149172
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    File URL: http://purl.umn.edu/149172
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    References listed on IDEAS

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    1. Derek Byerlee & Alain de Janvry & Elisabeth Sadoulet, 2009. "Agriculture for Development: Toward a New Paradigm," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 15-31, September.
    2. Harwood, Joy L. & Heifner, Richard G. & Coble, Keith H. & Perry, Janet E. & Somwaru, Agapi, 1999. "Managing Risk in Farming: Concepts, Research, and Analysis," Agricultural Economics Reports 34081, United States Department of Agriculture, Economic Research Service.
    3. 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.
    4. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    5. Teece, David J., 1980. "Economies of scope and the scope of the enterprise," Journal of Economic Behavior & Organization, Elsevier, vol. 1(3), pages 223-247, September.
    6. Rahman, Sanzidur, 2009. "Whether crop diversification is a desired strategy for agricultural growth in Bangladesh?," Food Policy, Elsevier, vol. 34(4), pages 340-349, August.
    7. Subal C. Kumbhakar & Gudbrand Lien & Ola Flaten & Ragnar Tveterås, 2008. "Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 350-369, June.
    8. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    9. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    10. Llewelyn, Richard V. & Williams, Jeffery R., 1996. "Nonparametric analysis of technical, pure technical, and scale efficiencies for food crop production in East Java, Indonesia," Agricultural Economics, Blackwell, vol. 15(2), pages 113-126, November.
    11. Ani L. Katchova, 2005. "The Farm Diversification Discount," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 984-994.
    12. Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Measuring technical efficiency in the stochastic varying coefficient frontier model," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 389-396, July.
    13. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, 2007. "Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 135-146, March.
    14. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    15. Jean-Paul Chavas, 2011. "Agricultural policy in an uncertain world," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 38(3), pages 383-407, August.
    16. Fahim Al-Marhubi, 2000. "Export diversification and growth: an empirical investigation," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 559-562.
    17. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
    18. Hajargasht, Gholamreza & Coelli, Tim & Rao, D.S. Prasada, 2008. "A dual measure of economies of scope," Economics Letters, Elsevier, vol. 100(2), pages 185-188, August.
    19. 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.
    20. 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.
    21. Panzar, John C & Willig, Robert D, 1981. "Economies of Scope," American Economic Review, American Economic Association, vol. 71(2), pages 268-272, May.
    22. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, May.
    23. Alfons Oude Lansink & Spiro Stefanou, 2001. "Dynamic Area Allocation and Economies of Scale and Scope," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 38-52.
    24. George E. Battese, 1997. "A Note On The Estimation Of Cobb-Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1-3), pages 250-252.
    25. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.
    26. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
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    Keywords

    Farm performance; Specialization; Impact; Input distance function; Non-neutral stochastic frontier; Benin; Agricultural and Food Policy; Crop Production/Industries; Farm Management; Food Security and Poverty; Production Economics; Productivity Analysis; C34; C52; Q12; Q16;

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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