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High-Grading in a Quota-Regulated Fishery, with Empirical Evidence from the Icelandic Cod Fishery

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  • Kristofersson, Dadi
  • Rickertsen, Kyrre

Abstract

Fishers in quota-regulated fisheries find it to their advantage to discard less valuable fish at sea to increase the value of their catch. A theoretical model describing the high-grading behavior of fishers is presented, and an empirical model is derived as well as a testing strategy to test for high-grading and to estimate the discarded amount of each grade. The model is applied to data for the Icelandic quota regulated cod fishery during the period September 1998 to June 2001. The results indicate that highgrading occurs in the Icelandic cod fishery for both long-line and net vessels. However, the discard rates are small, and the results clearly suggest that the ban on discards in Iceland has effectively dealt with high-grading. The estimated discard rates are consistent with existing estimates of high-grading for the same types of vessel in the same fishery. This suggests that the modeling of discarding decisions based purely on incentives is a useful alternative to classical biometric methods.

Suggested Citation

  • Kristofersson, Dadi & Rickertsen, Kyrre, 2005. "High-Grading in a Quota-Regulated Fishery, with Empirical Evidence from the Icelandic Cod Fishery," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24722, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24722
    DOI: 10.22004/ag.econ.24722
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    References listed on IDEAS

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    1. Nerlove, Marc & Bessler, David A., 2001. "Expectations, information and dynamics," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 3, pages 155-206, Elsevier.
    2. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    3. Turner, Matthew A., 1997. "Quota-Induced Discarding in Heterogeneous Fisheries," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 186-195, June.
    4. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
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