Fishing behavior across space, time and depth: with application to the Gulf of Mexico reef fish fishery [Fishing behavior across space and time]

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Perruso, Larry
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Weninger, Quinn
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The Department of Economic Science was founded in 1898 to teach economic theory as a truth of industrial life, and was very much concerned with applying economics to business and industry, particularly agriculture. Between 1910 and 1967 it showed the growing influence of other social studies, such as sociology, history, and political science. Today it encompasses the majors of Agricultural Business (preparing for agricultural finance and management), Business Economics, and Economics (for advanced studies in business or economics or for careers in financing, management, insurance, etc).

The Department of Economic Science was founded in 1898 under the Division of Industrial Science (later College of Liberal Arts and Sciences); it became co-directed by the Division of Agriculture in 1919. In 1910 it became the Department of Economics and Political Science. In 1913 it became the Department of Applied Economics and Social Science; in 1924 it became the Department of Economics, History, and Sociology; in 1931 it became the Department of Economics and Sociology. In 1967 it became the Department of Economics, and in 2007 it became co-directed by the Colleges of Agriculture and Life Sciences, Liberal Arts and Sciences, and Business.

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  • Department of Economic Science (1898–1910)
  • Department of Economics and Political Science (1910-1913)
  • Department of Applied Economics and Social Science (1913–1924)
  • Department of Economics, History and Sociology (1924–1931)
  • Department of Economics and Sociology (1931–1967)

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We introduce a model of fishing behavior that features costly targeting of a spatially and temporally heterogeneous, multiple-species fish stock. We characterize fishing behavior under species-specific regulations including time-area-depth closures, per-trip landings limits and tradable harvest permits. Our behavioral model yields a system of Kuhn-Tucker necessary conditions which form the basis of our empirical estimation. Data from the Gulf of Mexico commercial reef fish fishery are used to estimate the model. The estimated harvest technology exhibits local weak output disposability which are linked to spatially and temporally dependent stock conditions in the reef fish fishery. The model predicts harvests, discards and fishing profit across multiple species, and importantly across continuous space and time dimensions. Policy simulations further identify behavioral responses to closure regulations, individual tradeable quota management and recent sea turtle bycatch management rules which impose limits on fishing depth. Our model overcomes limitations of discrete choice spatial fishing behavioral models, and offers a powerful tool for improving regulation of spatially and temporally heterogeneous, multi-species fisheries.

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