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Estimating Heterogeneous Capacity and Capacity Utilization in a Multi-Species Fishery

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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 G. Felthovan & William C. Horrace & Kurt E. Schnier, 2006. "Estimating Heterogeneous Capacity and Capacity Utilization in a Multi-Species Fishery," Center for Policy Research Working Papers 86, Center for Policy Research, Maxwell School, Syracuse University.
    • Handle: RePEc:max:cprwps:86
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    Cited by:

    1. William Horrace & Seth Richards-Shubik & Ian Wright, 2015. "Expected efficiency ranks from parametric stochastic frontier models," Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
    2. 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.
    3. 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.
    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. 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.
    6. 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.
    7. Horrace, William C. & Rothbart, Michah W. & Yang, Yi, 2022. "Technical efficiency of public middle schools in New York City," Economics of Education Review, Elsevier, vol. 86(C).
    8. 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.

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    More about this item

    Keywords

    fishery capacity; heterogeneous production; latent class modeling;
    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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