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A Simple Empirical Model of Data Fouling by High-Grading in Capture Fisheries

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  • C. Michael Wernerheim
  • Richard L. Haedrich

Abstract

A serious problem facing fisheries managers is how to improve estimates of the distortion in stock assessments resulting from "fouling" of commercial catch data. We propose a simple analytical model of discarding and high-grading, and estimate the "data fouling factor"—the wedge between what is caught and discarded at sea, and what is reported to the regulator. Using available data on biology, harvesting technology, prices, and costs, the model is parameterized and solved numerically for the profit-maximizing effort level and the associated number of high-grading operations. Some illustrative policy implications are derived.

Suggested Citation

  • C. Michael Wernerheim & Richard L. Haedrich, 2007. "A Simple Empirical Model of Data Fouling by High-Grading in Capture Fisheries," Land Economics, University of Wisconsin Press, vol. 83(1), pages 74-85.
    • Handle: RePEc:uwp:landec:v:83:y:2007:i:1:p:74-85
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    References listed on IDEAS

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    1. Sumaila, U.R. & Alder, J. & Keith, H., 2006. "Global scope and economics of illegal fishing," Marine Policy, Elsevier, vol. 30(6), pages 696-703, November.
    2. Turner, Matthew A., 1997. "Quota-Induced Discarding in Heterogeneous Fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 186-195, June.
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    Cited by:

    1. Holzer, Jorge & DePiper, Geret, 2019. "Intertemporal quota arbitrage in multispecies fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 185-207.

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    More about this item

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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