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Estimating heterogeneous capacity and capacity utilization in a multi-species fishery

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  • Ronald Felthoven
  • William Horrace
  • Kurt Schnier

Abstract

We use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the stochastic differences between each vessel-specific technical efficiency distribution. Results indicate that ignoring heterogeneity in production technologies within a multi-species fishery, as well as the complete distribution of a vessel's technical efficiency socre, may yield erroneous fleet-wide production profiles and estimates of capacity. Furthermore, our new estimate of capacity enables out-of-sample production predictions predicated on either homogeneity or heterogeneity modeling which may be utuilized to facilitate policy.
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  • Ronald Felthoven & William Horrace & Kurt Schnier, 2009. "Estimating heterogeneous capacity and capacity utilization in a multi-species fishery," Journal of Productivity Analysis, Springer, vol. 32(3), pages 173-189, December.
    • Handle: RePEc:kap:jproda:v:32:y:2009:i:3:p:173-189
    DOI: 10.1007/s11123-009-0139-5
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    Cited by:

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    3. H. Spencer Banzhaf & Yaqin Liu & Martin Smith & Frank Asche, 2019. "Non-Parametric Tests of the Tragedy of the Commons," NBER Working Papers 26398, National Bureau of Economic Research, Inc.
    4. Sami Dakhlia & Akbar Marvasti, 2022. "Did tradable quota rights really affect fleet size? The case of the Gulf of Mexico reef‐fish fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(3), pages 668-689, July.
    5. Daniel Solís & Julio Corral & Lawrence Perruso & Juan J. Agar, 2015. "Individual fishing quotas and fishing capacity in the US Gulf of Mexico red snapper fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 288-307, April.
    6. Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    7. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    8. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    9. Banzhaf, H. Spencer & Liu, Yaqin & Smith, Martin D. & Asche, Frank, 2024. "Non-parametric tests of behavior in the commons," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 521-536.

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    More about this item

    Keywords

    Stochastic frontier; Efficiency probability; C16; D24; Q22;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative

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