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Livelihoods and Farm Efficiency in Rural Georgia

  • Kelvin_Balcombe

    (Imperial College)

  • Dirk_Bezemer

    (University of Groningen)

  • Junior_Davis

    (University of Greenwich)

  • Iain_Fraser

    (Imperial College)

Registered author(s):

    This paper contributes to the literature on the role of on rural livelihood strategies in rural growth and poverty reduction. It distinguishes between livelihood diversity strategies that contribute to sustainable growth in household incomes, and those that mainly have a 'coping' function. It suggests that typically, the contribution of livelihood diversity to growing household income is through relaxing dependence on credit for access to capital. In this scenario, livelihood diversity would lead to higher technical efficiency in agriculture via investment and thereby to higher household incomes. Survey data from Georgia are introduced and used to test these hypotheses using a Bayesian stochastic frontier approach. The findings are relevant to defining more clearly the scope and aims of policies to stimulate the rural non-farm economy in developing and transition countries.

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    File URL: http://128.118.178.162/eps/dev/papers/0502/0502005.pdf
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    Paper provided by EconWPA in its series Development and Comp Systems with number 0502005.

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    Length: 16 pages
    Date of creation: 10 Feb 2005
    Date of revision:
    Handle: RePEc:wpa:wuwpdc:0502005
    Note: Type of Document - doc; pages: 16
    Contact details of provider: Web page: http://128.118.178.162

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    1. Tim J. Coelli & Chris O'Donnell, 2003. "A Bayesian Approach To Imposing Curvature On Distance Functions," CEPA Working Papers Series WP032003, School of Economics, University of Queensland, Australia.
    2. Barrett, C. B. & Reardon, T. & Webb, P., 2001. "Nonfarm income diversification and household livelihood strategies in rural Africa: concepts, dynamics, and policy implications," Food Policy, Elsevier, vol. 26(4), pages 315-331, August.
    3. Koop, G. & Osiewalski, J. & Steel, M. F. J., . "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," CORE Discussion Papers RP -1245, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Gary Koop & M. F. J. Steel, 2004. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
    5. Dashti, Imad, 2003. "Inference from concave stochastic frontiers and the covariance of firm efficiency measures across firms," Energy Economics, Elsevier, vol. 25(6), pages 585-601, November.
    6. 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.
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