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A Bioeconomic Analysis of the Texas Shrimp Fishery and Its Optimal Management

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Listed:
  • Hayri Önal
  • Bruce A. McCarl
  • Wade L. Griffin
  • Gary Matlock
  • Jerry Clark

Abstract

Overfishing in the Texas shrimp fishing industry by time period and fishing area is investigated. An optimal harvesting pattern is determined using a multiperiod mathematical programming model where prices, fishing effort, catch, and resource dynamics are treated endogenously. These results are then compared with actual effort. The comparison indicates substantial excess effort in spring and early summer, especially in the bays and shallow offshore areas. The peak fishing season also occurs later in the fall in optimal harvest pattern than in practice. The results indicate both producers and consumers gain from reduced fishing effort because of improved size composition of the harvest.

Suggested Citation

  • Hayri Önal & Bruce A. McCarl & Wade L. Griffin & Gary Matlock & Jerry Clark, 1991. "A Bioeconomic Analysis of the Texas Shrimp Fishery and Its Optimal Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1161-1170.
    • Handle: RePEc:oup:ajagec:v:73:y:1991:i:4:p:1161-1170.
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    File URL: http://hdl.handle.net/10.2307/1242444
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    Citations

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    Cited by:

    1. McCarl, Bruce A., 1992. "Mathematical Programming For Resource Policy Appraisal Under Multiple Objectives," Working Papers 11888, Environmental and Natural Resources Policy Training Project.
    2. Kvamsdal, Sturla F. & Maroto, José M. & Morán, Manuel & Sandal, Leif K., 2020. "Bioeconomic modeling of seasonal fisheries," European Journal of Operational Research, Elsevier, vol. 281(2), pages 332-340.
    3. Antle, John M. & Capalbo, Susan Marie, 2002. "Agriculture As A Managed Ecosystem: Policy Implications," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-15, July.
    4. Huang, Ling & Smith, Martin D., 2011. "Management of an annual fishery in the presence of ecological stress: The case of shrimp and hypoxia," Ecological Economics, Elsevier, vol. 70(4), pages 688-697, February.
    5. Poray, Michael C. & Gray, Allan W. & Boehlje, Michael, 2002. "Evaluation of Alternative Coordination Systems Between Producers and Packers in the Pork Value Chain," Staff Papers 200386, Purdue University, Department of Agricultural Economics.
    6. Ni, Yuanming & Sandal, Leif Kristoffer, 2019. "Seasonality matters: A multi-season, multi-state dynamic optimization in fisheries," European Journal of Operational Research, Elsevier, vol. 275(2), pages 648-658.
    7. Bjorndal, Trond & Lane, Daniel E. & Weintraub, Andres, 2004. "Operational research models and the management of fisheries and aquaculture: A review," European Journal of Operational Research, Elsevier, vol. 156(3), pages 533-540, August.
    8. Ives, M.C. & Scandol, J.P. & Greenville, J., 2013. "A bio-economic management strategy evaluation for a multi-species, multi-fleet fishery facing a world of uncertainty," Ecological Modelling, Elsevier, vol. 256(C), pages 69-84.

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