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Strategic Exploitation of a Common-Property Resource under Uncertainty

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Abstract

We study the impact of uncertainty on the strategies and dynamics of symmetric noncooperative games among players who exploit a non-excludable resource that reproduces under uncertainty. We focus on a particular class of games that deliver a unique Nash equilibrium in linear-symmetric strategies of resource exploitation. We show that, for this class of games, the tragedy of the commons is always present. For various changes in the riskiness of the random primitives of the model we provide general characterizations of features of the model that explain links between the degree of riskiness and strategic exploitation decisions. Finally, we provide a specific example that demonstrates the usefulness of our general results and, within the specific example, we study cases where increases in risk amplify or mitigate the tragedy of the commons.

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  • Christos Koulovatianos & Elena Antoniadou & Leonard J.Mirman, 2007. "Strategic Exploitation of a Common-Property Resource under Uncertainty," Vienna Economics Papers vie0703, University of Vienna, Department of Economics.
  • Handle: RePEc:vie:viennp:vie0703
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    2. Rodrigo Harrison & Roger Lagunoff, 2017. "Dynamic Mechanism Design For A Global Commons," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 751-782, August.
    3. Arasteh, Abdollah, 2017. "Considering the investment decisions with real options games approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1282-1294.
    4. Libois, François, 2022. "Success and failure of communities managing natural resources: Static and dynamic inefficiencies," Journal of Environmental Economics and Management, Elsevier, vol. 114(C).
    5. Tasneem, Dina & Engle-Warnick, Jim & Benchekroun, Hassan, 2017. "An experimental study of a common property renewable resource game in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 91-119.
    6. Florian K. Diekert & Emmi Nieminen, 2017. "International Fisheries Agreements with a Shifting Stock," Dynamic Games and Applications, Springer, vol. 7(2), pages 185-211, June.
    7. Karolina Safarzynska, 2018. "The Impact of Resource Uncertainty and Intergroup Conflict on Harvesting in the Common-Pool Resource Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 1001-1025, December.
    8. Sakamoto, Hiroaki, 2014. "Dynamic resource management under the risk of regime shifts," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 1-19.
    9. Adam N. Walker & Hans-Peter Weikard & Andries Richter, 2015. "The Rise and Fall of the Great Fish Pact under Endogenous Risk of Stock Collapse," Working Papers 2015.60, Fondazione Eni Enrico Mattei.
    10. Bediako, Kwabena & Nkuiya, Bruno, 2022. "Stability of international fisheries agreements under stock growth uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    11. Leonard Mirman & Marc Santugini, 2014. "Learning and Technological Progress in Dynamic Games," Dynamic Games and Applications, Springer, vol. 4(1), pages 58-72, March.
    12. Christos Koulovatianos, 2015. "Strategic Exploitation of a Common-Property Resource Under Rational Learning About its Reproduction," Dynamic Games and Applications, Springer, vol. 5(1), pages 94-119, March.
    13. Safarzynska, Karolina & Sylwestrzak, Marta, 2021. "Resource depletion and conflict: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 902-917.
    14. Safarzynska, Karolina, 2020. "Collective punishment promotes resource conservation if it is not enforced," Forest Policy and Economics, Elsevier, vol. 113(C).
    15. Agbo, Maxime, 2014. "Strategic exploitation with learning and heterogeneous beliefs," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 126-140.

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    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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