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An Experimental Analysis of Optimal Renewable Resource Management: The Fishery

Author

Listed:
  • Tibor Neugebauer

    () (Luxembourg School of Finance, University of Luxembourg)

  • John D. Hey

    () (University of York, England)

  • K Sadrieh

    () (University of Magdeburg, Germany)

Abstract

This paper experimentally studies the extraction decisions of a sole-owner ina fishery, the population dynamics of which behave according to the standard deterministic logistic growth model. Four treatments were implemented which differed in the level of information supplied to the experimental subjects. The theoretical solution was used to evaluate the behaviour of experimental subjects. The data reveal high efficiency losses due to the lack of information on population dynamics and stock size. Efficiency varied between treatments according to the information conditions.

Suggested Citation

  • Tibor Neugebauer & John D. Hey & K Sadrieh, 2008. "An Experimental Analysis of Optimal Renewable Resource Management: The Fishery," LSF Research Working Paper Series 08-10, Luxembourg School of Finance, University of Luxembourg.
  • Handle: RePEc:crf:wpaper:08-10
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    References listed on IDEAS

    as
    1. Moxnes, Erling, 1998. "Overexploitation of renewable resources: The role of misperceptions," Journal of Economic Behavior & Organization, Elsevier, vol. 37(1), pages 107-127, September.
    2. Mason, Charles F. & Phillips, Owen R., 1997. "Mitigating the Tragedy of the Commons through Cooperation: An Experimental Evaluation," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 148-172, October.
    3. Schnier, Kurt E. & Anderson, Christopher M., 2006. "Decision making in patchy resource environments: Spatial misperception of bioeconomic models," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 234-254, October.
    4. Moxnes, Erling, 2003. "Uncertain measurements of renewable resources: approximations, harvesting policies and value of accuracy," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 85-108, January.
    5. Erling Moxnes, 1998. "Not Only the Tragedy of the Commons: Misperceptions of Bioeconomics," Management Science, INFORMS, vol. 44(9), pages 1234-1248, September.
    6. Mark Paich & John D. Sterman, 1993. "Boom, Bust, and Failures to Learn in Experimental Markets," Management Science, INFORMS, vol. 39(12), pages 1439-1458, December.
    7. Abbink, Klaus & Abdolkarim Sadrieh, 1995. "RatImage - research Assistance Toolbox for Computer-Aided Human Behavior Experiments," Discussion Paper Serie B 325, University of Bonn, Germany.
    8. Diehl, Ernst & Sterman, John D., 1995. "Effects of Feedback Complexity on Dynamic Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 198-215, May.
    9. Brekke, Kjell Arne & Moxnes, Erling, 2003. "Do numerical simulation and optimization results improve management?: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 50(1), pages 117-131, January.
    10. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    11. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    12. H. Scott Gordon, 1954. "The Economic Theory of a Common-Property Resource: The Fishery," Journal of Political Economy, University of Chicago Press, vol. 62, pages 124-124.
    13. Sterman, John D., 1989. "Deterministic chaos in an experimental economic system," Journal of Economic Behavior & Organization, Elsevier, vol. 12(1), pages 1-28, August.
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    Citations

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    Cited by:

    1. Schnier, Kurt Erik, 2009. "Spatial externalities and the common-pool resource mechanism," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 402-415, May.
    2. Schnier, Kurt E. & Anderson, Christopher M., 2006. "Decision making in patchy resource environments: Spatial misperception of bioeconomic models," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 234-254, October.
    3. Anabela Botelho & Ariel Dinar & Lígia Costa Pinto & Amnon Rapoport, 2014. "Time and uncertainty in resource dilemmas: equilibrium solutions and experimental results," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 649-672, December.
    4. Anderson, Christopher M. & Sutinen, Jon G., 2006. "The effect of initial lease periods on price discovery in laboratory tradable fishing allowance markets," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 164-180, October.
    5. HÃ¥kansson, Cecilia, 2007. "Cost-benefit analysis and valuation uncertainty," Department of Forest Economics publications 1432, Swedish University of Agricultural Sciences, Department of forest economics.
    6. Nuria Osés-Eraso & Montserrat Viladrich-Grau, 2011. "The sustainability of the commons: giving and receiving," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 458-481, November.

    More about this item

    Keywords

    Experimental economics; renewable resources; dynamic decision making; decisions under risk and uncertainty; misperceptions of feedback;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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