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Technical Efficiency and Small-scale Fishing Households in Tanzanian coastal Villages: An Empirical Analysis

Author

Listed:
  • Jennifer K. sesabo
  • Richard S.J. Tol

    (Economic and Social Research Institute, Dublin)

Abstract

The effort to conserve fisheries resources and improve the welfare of small-scale fishing households is an important objective of Poverty Reduction Strategies (PRS) in Tanzania. The success of such strategies depends both on the variation and the level of efficiency within small-scale fishing households. This paper examines the technical efficiency of small-scale fishing households in Tanzania using data from two coastal villages (Mlingotini and Nyamanzi). A stochastic frontier (with technical inefficiency effects) model is specified and estimated. The estimated mean technical efficiency of small-scale fishing households is 52%. Results show that the efficiency of individual fishing households is positively associated with fishing experience, size of farming land, distance to the fishing ground, and potential market integration and negatively related to non-farm employment and bigger household sizes. We find that future policies aiming at targeting conservation-development issues in fishing communities should be concerted to provide mechanisms, which improve the access of small-scale fishing households to less destructive fishing tools via provision of credits, and markets as well as the creation of new employment opportunities in other sectors.

Suggested Citation

  • Jennifer K. sesabo & Richard S.J. Tol, 2006. "Technical Efficiency and Small-scale Fishing Households in Tanzanian coastal Villages: An Empirical Analysis," Working Papers FNU-95, Research unit Sustainability and Global Change, Hamburg University, revised Jan 2006.
  • Handle: RePEc:sgc:wpaper:95
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    File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/FNU95.pdf
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    References listed on IDEAS

    as
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    3. James E. Kirkley & Dale Squires & Ivar E. Strand, 1995. "Assessing Technical Efficiency in Commercial Fisheries: The Mid-Atlantic Sea Scallop Fishery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 686-697.
    4. 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.
    5. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, September.
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    Cited by:

    1. Banda, Fredrick Mangwaya; Tchereni, Betchani, 2024. "Technical Efficiency of Artisanal Fishing Households in Malawi," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(3), September.

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    More about this item

    Keywords

    Fishing households; Fisheries development; Stochastic production frontier; Technical efficiency; Tanzania;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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