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Fishing Behavior Across Space and Time

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  • Veyssiere, Luc Pierre
  • Weninger, Quinn

Abstract

Models of fishing behavior rarely incorporate the complexities of marine ecosystems, multiple-stock harvest technologies, and regulations present in real world marine fisheries. We introduce a structural model of a multi-species, weak-output-disposability harvest technology. A latent target-cost-minimizing share vector is estimated to link the technology to a spatially and temporally heterogeneous fish stock. Data from the Gulf of Mexico reef fish fishery is used to estimate the model. The results provide a robust characterization of harvest and discard behavior across space and time. Our approach considerably improves methods used to study fishing behavior and evaluate alternative fisheries management policies.

Suggested Citation

  • Veyssiere, Luc Pierre & Weninger, Quinn, 2009. "Fishing Behavior Across Space and Time," Staff General Research Papers Archive 31848, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:31848
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    References listed on IDEAS

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    1. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    2. Singh, Rajesh & Weninger, Quinn, 2009. "Bioeconomies of scope and the discard problem in multiple-species fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 72-92, July.
    3. Johan A. Mistiaen & Ivar E. Strand, 2000. "Location Choice of Commercial Fishermen with Heterogeneous Risk Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1184-1190.
    4. C. Haynie, Alan & F. Layton, David, 2010. "An expected profit model for monetizing fishing location choices," Journal of Environmental Economics and Management, Elsevier, vol. 59(2), pages 165-176, March.
    5. H. F. Campbell & R. B. Nicholl, 1994. "Can Purse Seiners Target Yellowfin Tuna?," Land Economics, University of Wisconsin Press, vol. 70(3), pages 345-354.
    6. Abbott, Joshua K. & Wilen, James E., 2011. "Dissecting the tragedy: A spatial model of behavior in the commons," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 386-401.
    7. Weninger, Quinn & Waters, James R., 2003. "Economic benefits of management reform in the northern Gulf of Mexico reef fish fishery," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 207-230, September.
    8. Martin D. Smith, 2002. "Two Econometric Approaches for Predicting the Spatial Behavior of Renewable Resource Harvesters," Land Economics, University of Wisconsin Press, vol. 78(4), pages 522-538.
    9. Martin D. Smith, 2000. "Spatial Search and Fishing Location Choice: Methodological Challenges of Empirical Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1198-1206.
    10. Turner, Matthew A., 1997. "Quota-Induced Discarding in Heterogeneous Fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 186-195, June.
    11. Matthew A. Turner, 1995. "Economics without Free-disposal: Quota-induced Discarding in Heterogenous Fisheries," Working Papers mturner-95-02, University of Toronto, Department of Economics.
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    More about this item

    Keywords

    costly targeting; Spatial fishing behavior; multiple-stock fisheries; at-sea discarding.;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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