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A Conceptional Analysis of Dynamics and Production in Bioeconomic Models


  • Stein Ivar Steinshamn


Harvesting functions and stock dynamic equations in age-structured bioeconomic models are generalized in order to incorporate density dependence. Using this generalization, anything from completely uniformly distributed fish to extreme schooling can be analyzed. The classical Beverton--Holt model comes out as a special case of the generalized model. The generalization can be applied both for simulation as well as for optimization purposes given appropriate software. Conceptual analysis indicates that pulse fishing seems to become less and less economically profitable as we move from uniformly distributed fish to schooling species. This has important implications for how fish stocks ought to be managed. Copyright 2010, Oxford University Press.

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  • Stein Ivar Steinshamn, 2010. "A Conceptional Analysis of Dynamics and Production in Bioeconomic Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 799-808.
  • Handle: RePEc:oup:ajagec:v:93:y:2010:i:3:p:799-808

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    References listed on IDEAS

    1. Christopher J. O'Donnell, 2010. "Measuring and decomposing agricultural productivity and profitability change ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(4), pages 527-560, October.
    2. C.J. O'Donnell, 2008. "An aggregate quantity-price framework for measuring and Decomposing productivity and profitability change," CEPA Working Papers Series WP072008, School of Economics, University of Queensland, Australia.
    3. Catherine J. Morrison Paul & Richard Nehring & David Banker, 2004. "Productivity, Economies, and Efficiency in U.S. Agriculture: A Look at Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1308-1314.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
    6. Paul, Catherine J. Morrison & Nehring, Richard, 2005. "Product diversification, production systems, and economic performance in U.S. agricultural production," Journal of Econometrics, Elsevier, vol. 126(2), pages 525-548, June.
    7. C.J. O'Donnell, 2010. "DPIN Version 1.0: A Program for Decomposing Productivity Index Numbers," CEPA Working Papers Series WP012010, School of Economics, University of Queensland, Australia.
    8. Capalbo, Susan Marie, 1988. "Measuring The Components Of Aggregate Productivity Growth In U.S. Agriculture," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(01), July.
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    Cited by:

    1. José-María Da Rocha & María-Jose Gutiérrez & Luis Antelo, 2013. "Selectivity, Pulse Fishing and Endogenous Lifespan in Beverton-Holt Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 139-154, January.

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