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Comparaison des indicateurs d’efficacité et des indicateurs économiques des navires de pêche dans le cas d’une multi-production


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  • Pascal Le Floc’H

    (CEDEM – GDR AMURE, Université de Bretagne occidentale, IUT de Quimper, 2, rue de l’Université, 29334 Quimper cedex)

  • Simon Mardle

    (Centre for the Economics and Management of Aquatic Resources (CEMARE), Boat House, n° 6, HM Naval Base, 19 College Road, Portsmouth, Hanks, PO 1 3LJ, United Kingdom)

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    Les situations de surcapacité sont récurrentes dans l’activité d’exploitation des ressources marines vivantes. Les mesures de capacité d’utilisation et d’efficacité des navires de pêche deviennent dès lors nécessaires. Dans cet article, la méthode DEA (Data Envelopment Analysis) est utilisée dans le cas d’une multi-production. Les données de production et d’utilisation des inputs des navires de pêche sont disponibles sur une base mensuelle pour la période 1994-2003. Les indicateurs d’efficacité des navires sont ensuite comparés à des indicateurs de performance économique issus d’une base de données comptables. Il ressort de l’analyse que les navires les plus performants en terme d’efficacité n’obtiennent pas nécessairement les meilleurs résultats économiques. Ceci est surtout vérifié pour les plus petites unités dont le comportement est plus hétérogène que les navires de plus grande capacité potentielle de production.

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    Bibliographic Info

    Article provided by INRA Department of Economics in its journal Cahiers d'Economie et Sociologie Rurales.

    Volume (Year): 81 (2006)
    Issue (Month): ()
    Pages: 37-60

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    Handle: RePEc:rae:jouces:v:81:y:2006:i::p:37-60

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    Related research

    Keywords: optimisation techniques; capacity; fishery;


    References listed on IDEAS
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    1. Pascoe, Sean & Tingley, Diana, 2006. "Economic capacity estimation in fisheries: A non-parametric ray approach," Resource and Energy Economics, Elsevier, vol. 28(2), pages 124-138, May.
    2. Lindebo, Erik & Hoff, Ayoe & Vestergaard, Niels, 2007. "Revenue-based capacity utilisation measures and decomposition: The case of Danish North Sea trawlers," European Journal of Operational Research, Elsevier, vol. 180(1), pages 215-227, July.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 20(1), January.
    5. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-66, August.
    6. Sharma, Khem R. & Leung, PingSun & Zaleski, Halina M., 1999. "Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison of parametric and nonparametric approaches," Agricultural Economics, Blackwell, vol. 20(1), pages 23-35, January.
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