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Using a coupled behavior-economic model to reduce uncertainty and assess fishery management in a data-limited, small-scale fishery

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  • Carr, Liam M.
  • Heyman, William D.

Abstract

This paper examines how fishers' ecological knowledge (FEK) and the analysis of their decision-making process can be used to help managers anticipate fisher behavior and thus be able to efficiently allocate scarce resources for monitoring and enforcement. To examine determinants of fisher behaviors, this study develops a coupled behavior-economic model examining how physical, market, and regulatory forces affect commercial fishers' choice of fishing grounds in a small-scale fishery (SSF) in St. Croix, U.S. Virgin Islands. The model estimates that fishing operations land $396±110 per trip (mean±1 SD; n=427 trips), with the highest value in landings arriving from Lang Bank. The model explains 62% of the variation in fishers' choice to fish at Lang Bank, the most productive, yet farthest fishing grounds. The coupled behavioral–economic model is focused on the small temporal and spatial scales of fishing effort and FEK in an SSF. Therefore the model can be used to predict how a range of physical and regulatory conditions and changes in demand will drive overall (fleet) fishing effort allocation in space and time. By illustrating and quantifying these social–ecological causes and effects, the model can assist managers to efficiently allocate limited monitoring and enforcement resources.

Suggested Citation

  • Carr, Liam M. & Heyman, William D., 2014. "Using a coupled behavior-economic model to reduce uncertainty and assess fishery management in a data-limited, small-scale fishery," Ecological Economics, Elsevier, vol. 102(C), pages 94-104.
    • Handle: RePEc:eee:ecolec:v:102:y:2014:i:c:p:94-104
    DOI: 10.1016/j.ecolecon.2014.03.011
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    References listed on IDEAS

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    1. Christophe Bene, 2009. "Are Fishers Poor or Vulnerable? Assessing Economic Vulnerability in Small-Scale Fishing Communities," Journal of Development Studies, Taylor & Francis Journals, vol. 45(6), pages 911-933.
    2. Andrew A. Rosenberg, 2007. "Fishing for certainty," Nature, Nature, vol. 449(7165), pages 989-989, October.
    3. Kaplan, Ilene M. & McCay, Bonnie J., 2004. "Cooperative research, co-management and the social dimension of fisheries science and management," Marine Policy, Elsevier, vol. 28(3), pages 257-258, May.
    4. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Palgrave Macmillan Books, in: Chennat Gopalakrishnan (ed.), Classic Papers in Natural Resource Economics, chapter 9, pages 178-203, Palgrave Macmillan.
    5. Mahon, Robin & McConney, Patrick & Roy, Rathindra N., 2008. "Governing fisheries as complex adaptive systems," Marine Policy, Elsevier, vol. 32(1), pages 104-112, January.
    6. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Journal of Political Economy, University of Chicago Press, vol. 62(2), pages 124-124.
    7. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
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    Cited by:

    1. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.

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