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System Dynamics Modeling of Individual Transferable Quota Fisheries and Suggestions for Rebuilding Stocks

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  • Edward J. Garrity

    (Information Systems Department, Richard J. Wehle School of Business, Canisius College, 2001 Main St. Buffalo, New York, NY 14208, USA)

Abstract

This paper develops a system dynamics model of Individual Transferable Quota (ITQ) systems in order to differentiate ITQ from total allowable catch (TAC) effects and to identify areas where policy changes and management improvement may be most effective. ITQ systems provide incentives for long-term stewardship but when fisheries are managed “at the edge,” the incentives are inadequate for stock rebuilding. The free-market design of ITQ systems means that fishermen may be in conflict with the long-run, public sustainability goals of fishery management. An adaptive control scheme with a contingent public/private transfer payment is proposed to improve long-term results for both the local community and the general public.

Suggested Citation

  • Edward J. Garrity, 2011. "System Dynamics Modeling of Individual Transferable Quota Fisheries and Suggestions for Rebuilding Stocks," Sustainability, MDPI, vol. 3(1), pages 1-32, January.
    • Handle: RePEc:gam:jsusta:v:3:y:2011:i:1:p:184-215:d:10916
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    References listed on IDEAS

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    1. Jentoft, Svein, 2000. "The community: a missing link of fisheries management," Marine Policy, Elsevier, vol. 24(1), pages 53-60, January.
    2. Sterman, J.D., 2006. "Learning from evidence in a complex world," American Journal of Public Health, American Public Health Association, vol. 96(3), pages 505-514.
    3. Parzival Copes, 1986. "A Critical Review of the Individual Quota as a Device in Fisheries Management," Land Economics, University of Wisconsin Press, vol. 62(3), pages 278-291.
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    Cited by:

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    2. Erda Gercek & Monica Gambino & Loretta Malvarosa, 2022. "Understanding EU Fisheries Management Dynamics by Engaging Stakeholders through Online Group Model-Building," Sustainability, MDPI, vol. 14(23), pages 1-15, November.

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