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Information Sharing and Cooperative Search in Fisheries

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  • Keith Evans
  • Quinn Weninger

Abstract

We present a dynamic game of search and learning about the productivity of competing fishing locations. Perfect Bayesian Nash equilibrium search patterns for non-cooperating fishermen and members of an information sharing cooperative are compared with first-best outcomes. Independent fishermen do not internalize the full value of information, and do not replicate first-best search. A fishing cooperative faces a free-riding problem, as each coop member prefers that other members undertake costly search for information. Pooling contracts among coop members may mitigate, but are not likely to eliminate free-riding. Our results explain the paucity of information sharing in fisheries and suggest regulators use caution in advocating cooperatives as a solution to common pool inefficiencies in fisheries. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Keith Evans & Quinn Weninger, 2014. "Information Sharing and Cooperative Search in Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(3), pages 353-372, July.
    • Handle: RePEc:kap:enreec:v:58:y:2014:i:3:p:353-372
    DOI: 10.1007/s10640-013-9701-8
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    Cited by:

    1. Dépalle, Maxime & Sanchirico, James N. & Thébaud, Olivier & O’Farrell, Shay & Haynie, Alan C. & Perruso, Larry, 2021. "Scale-dependency in discrete choice models: A fishery application," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    2. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    3. Hutniczak, Barbara & Münch, Angela, 2018. "Fishermen's location choice under spatio-temporal update of expectations," Journal of choice modelling, Elsevier, vol. 28(C), pages 124-136.
    4. Barnes, Michele L. & Arita, Shawn & Kalberg, Kolter & Leung, PingSun, 2017. "When does it pay to cooperate? Strategic information exchange in the harvest of common-pool fishery resources," Ecological Economics, Elsevier, vol. 131(C), pages 1-11.
    5. Ronald G. Felthoven & Jean Lee & Kurt E. Schnier, 2014. "Cooperative Formation and Peer Effects in Fisheries," Marine Resource Economics, University of Chicago Press, vol. 29(2), pages 133-156.
    6. Jihad C. Elnaboulsi & Wassim Daher & Yiğit Sağlam, 2023. "Environmental taxation, information precision, and information sharing," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(2), pages 301-341, April.
    7. Matthieu Barbier & James R Watson, 2016. "The Spatial Dynamics of Predators and the Benefits and Costs of Sharing Information," PLOS Computational Biology, Public Library of Science, vol. 12(10), pages 1-22, October.
    8. Nicolas Sanz & Bassirou Diop, 2015. "A search-matching model of fisheries," Working Papers hal-01228851, HAL.

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    More about this item

    Keywords

    Search; Information sharing; Bayesian learning ; Fisheries cooperatives; Q22; D8;
    All these keywords.

    JEL classification:

    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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