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Game theoretic applications to environmental and natural resource problems




Game theory has been useful as an analytical framework for assessing environmental and resource regulations and policies. The papers in this volume provide the latest methodological and applied works in game theory to a wide range of natural and environmental resource problems such as fishing, grazing, pollution, climate change, water allocation, and stochastic production processes. The findings in the papers suggest that game theory is an effective tool for the analysis of the efficient use of shared natural resources; it can be used to identify stable agreements between parties to a resource conflict, and show how non-cooperation over global public goods/bads has a high social cost tag.

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  • Sumaila, Ussif Rashid & Dinar, Ariel & Albiac, Jose, 2009. "Game theoretic applications to environmental and natural resource problems," Environment and Development Economics, Cambridge University Press, vol. 14(01), pages 1-5, February.
  • Handle: RePEc:cup:endeec:v:14:y:2009:i:01:p:1-5_00

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    References listed on IDEAS

    1. Evstigneev, I.V. & Flam, S.D., 2000. "Sharing Nonconvex Costs," Norway; Department of Economics, University of Bergen 1300, Department of Economics, University of Bergen.
    2. Ermoliev, Yuri & Klaassen, Ger & Nentjes, Andries, 1996. "Adaptive Cost-Effective Ambient Charges under Incomplete Information," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 37-48, July.
    3. Kolstad, Charles D. & Guzman, Rolando M., 1999. "Information and the Divergence between Willingness to Accept and Willingness to Pay," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 66-80, July.
    4. Evstigneev, I.V. & Flam, S.D., 2000. "Stochastic Programming: Non-Anticipativity and Lagrange Multipliers," Norway; Department of Economics, University of Bergen 1100, Department of Economics, University of Bergen.
    5. Shapley, Lloyd S. & Shubik, Martin, 1969. "On market games," Journal of Economic Theory, Elsevier, vol. 1(1), pages 9-25, June.
    6. Dixit, Avinash & Pindyck, Robert S & Sodal, Sigbjorn, 1999. "A Markup Interpretation of Optimal Investment Rules," Economic Journal, Royal Economic Society, vol. 109(455), pages 179-189, April.
    7. Y. Ermoliev & M. Michalevich & A. Nentjes, 2000. "Markets for Tradeable Emission and Ambient Permits: A Dynamic Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 15(1), pages 39-56, January.
    8. Arrow, Kenneth J & Lind, Robert C, 1970. "Uncertainty and the Evaluation of Public Investment Decisions," American Economic Review, American Economic Association, vol. 60(3), pages 364-378, June.
    9. Magill, Michael & Shafer, Wayne, 1991. "Incomplete markets," Handbook of Mathematical Economics,in: W. Hildenbrand & H. Sonnenschein (ed.), Handbook of Mathematical Economics, edition 1, volume 4, chapter 30, pages 1523-1614 Elsevier.
    10. Ermoliev, Yu. & Keyzer, M. A. & Norkin, V., 2000. "Global convergence of the stochastic tatonnement process," Journal of Mathematical Economics, Elsevier, vol. 34(2), pages 173-190, October.
    11. Henry, Claude, 1974. "Investment Decisions Under Uncertainty: The "Irreversibility Effect."," American Economic Review, American Economic Association, vol. 64(6), pages 1006-1012, December.
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    Cited by:

    1. Zhenliang Liao & Phillip Hannam, 2013. "The Mekong Game: Achieving an All-win Situation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2611-2622, May.

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