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Common Property, Information, and Cooperation: Commercial Fishing in the Bering Sea

Author

Listed:
  • Robert H. Hicks

    (Department of Economics, College of William and Mary)

  • Alan C. Haynie

    (Alaska Fisheries Science Center,National Marine Fisheries Service)

  • Kurt E. Schnier

    (Department of Economics,Andrew Young School of Policy Studies, Georgia State University)

Abstract

A substantial theoretical and experimental literature has focused on the conditions under which cooperative behavior among actors providing public goods or extracting common-pool resources arises. The literature identifies the importance of coercion, small groups of actors, or the existence of social norms as conducive to cooperation. This research empirically investigates cooperative behavior in a natural resource extraction industry in which the provision of a public good (bycatch avoidance) in the Alaskan flatfish fishery is essential to the duration of the fishing season, and an information provision mechanism exists to relay information to all individuals. Using a mixed logit model of spatial fishing behavior our results show that conditionally cooperative behavior is prevalent but deteriorates as bycatch constraints tighten.

Suggested Citation

  • Robert H. Hicks & Alan C. Haynie & Kurt E. Schnier, 2008. "Common Property, Information, and Cooperation: Commercial Fishing in the Bering Sea," Working Papers 80, Economics Department, William & Mary.
  • Handle: RePEc:cwm:wpaper:80
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    File URL: http://economics.wm.edu/wp/cwm_wp80.pdf
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Best paper awards from the National Marine Fisheries Service's Economics and Social Science Workshop
      by John Whitehead in Environmental Economics on 2010-09-28 17:29:03

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    2. Li, Tao & Li, Hao & Zheng, Jin Di, 2024. "Promoting cooperation in collective actions: Evidence from the reserve fund for maintenance in China," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    3. Eliasen, Søren Qvist & Bichel, Nikolaj, 2016. "Fishers sharing real-time information about “bad” fishing locations. A tool for quota optimisation under a regime of landing obligations," Marine Policy, Elsevier, vol. 64(C), pages 16-23.
    4. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    5. Colombo, Luca & Labrecciosa, Paola, 2018. "Consumer surplus-enhancing cooperation in a natural resource oligopoly," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 185-193.
    6. Holzer, Jorge & DePiper, Geret, 2019. "Intertemporal quota arbitrage in multispecies fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 185-207.
    7. 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.
    8. John Lynham, 2017. "Identifying Peer Effects Using Gold Rushers," Land Economics, University of Wisconsin Press, vol. 93(3), pages 527-548.
    9. Jason Delaney & Sarah Jacobson, 2016. "Payments or Persuasion: Common Pool Resource Management with Price and Non-price Measures," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 65(4), pages 747-772, December.
    10. Stahn, Hubert, 2026. "Voluntary management of fisheries under the threat of uncertain legislation," Ecological Economics, Elsevier, vol. 239(C).
    11. Keita Abe & Christopher M. Anderson & Matthew N. Reimer, 2022. "Catch More to Catch Less: Estimating Timing Choice as Dynamic Bycatch Avoidance Behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 953-984, August.
    12. Reimer, Matthew N. & Abbott, Joshua K. & Haynie, Alan C., 2022. "Structural behavioral models for rights-based fisheries," Resource and Energy Economics, Elsevier, vol. 68(C).
    13. Eliasen, Søren Qvist, 2014. "Cod avoidance by area regulations in Kattegat – experiences for the implementation of a discard ban in the EU," Marine Policy, Elsevier, vol. 45(C), pages 108-113.
    14. 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.
    15. 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.

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    Keywords

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    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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