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Mix Efficiency in a Multi-species Fishery

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Listed:
  • Ines Herrero
  • Sean Pascoe
  • Simon Mardle

Abstract

A feature of fisheries that distinguishes them from most other industries is the level of control imposed on the production process. Previous studies have identified inefficiency in fisheries that is directly related to the management restrictions. The development of Slack-based measure (SBM) models allows the effects of management distortions to be further investigated through consideration of input and output mix efficiency. In this paper, the mix efficiency of a fleet operating in a multispecies fishery is examined. The results indicate that inefficiencies exist in the mix of inputs, which have developed as a consequence of the management restrictions imposed. Copyright Springer Science+Business Media, LLC 2006

Suggested Citation

  • Ines Herrero & Sean Pascoe & Simon Mardle, 2006. "Mix Efficiency in a Multi-species Fishery," Journal of Productivity Analysis, Springer, vol. 25(3), pages 231-241, June.
    • Handle: RePEc:kap:jproda:v:25:y:2006:i:3:p:231-241
    DOI: 10.1007/s11123-006-7641-9
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    References listed on IDEAS

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    1. Squires, Dale, 1987. "Fishing effort: Its testing, specification, and internal structure in fisheries economics and management," Journal of Environmental Economics and Management, Elsevier, vol. 14(3), pages 268-282, September.
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    Citations

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    Cited by:

    1. Dennis Fixler & Ryan Greenaway-McGrevy, 2012. "Valuation of Near-Market Endogenous Assets," BEA Working Papers 0083, Bureau of Economic Analysis.
    2. Herrero, Inés & Hughes, Mathew & Larrañeta, Bárbara, 2022. "Is blood thicker than water? Exploring the impact of family firms’ familial social relations with other firms within their industries," Journal of Family Business Strategy, Elsevier, vol. 13(3).
    3. 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.
    4. Mohammed Al-Siyabi & Gholam R. Amin & Shekar Bose & Hussein Al-Masroori, 2019. "Peer-judgment risk minimization using DEA cross-evaluation with an application in fishery," Annals of Operations Research, Springer, vol. 274(1), pages 39-55, March.

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    More about this item

    Keywords

    Technical efficiency; Mix efficiency; Slack-based measures; Data envelopment analysis; Q22; C60;
    All these keywords.

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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