Optimal pollution level: a theoretical identification
In this paper, the optimal pollution level is identified under the assumptions of linear, quadratic and exponential cost functions. The corresponding optimal level of environmental policy is evaluated, with analytical forms in the linear and quadratic case, while in the exponential case, these values are obtained approximately. It is shown that, in principle, its existence obeys certain restrictions, which are investigated here. The evaluation of the benefit area is discussed and analytical forms for this particular area are calculated. The positive point, at least from a theoretical point of view, is that both the quadratic and the exponential case obey the same form when evaluating the benefit area. These benefit area evaluations can be used as indexes between different rival policies, and certainly the policy that produces the maximum area is the most beneficial policy.
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Volume (Year): 37 (2005)
Issue (Month): 13 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Halkos, George, 1994. "A game-theoretic approach to pollution control problems," MPRA Paper 33259, University Library of Munich, Germany.
- Veijo Kaitala & Matti Pohjola & Olli Tahvonen, 1992.
"Transboundary air pollution and soil acidification: A dynamic analysis of an acid rain game between Finland and the USSR,"
Environmental & Resource Economics,
Springer;European Association of Environmental and Resource Economists, vol. 2(2), pages 161-181, March.
- Kaitala, Veijo & Pohjola, Matti & Tahvonen, Olli, 1990. "Transboundary Air Pollution and Soil Acidification: A Dynamic Analysis of an Acid Rain Game between Finland and the USSR," Discussion Papers 344, The Research Institute of the Finnish Economy.
- George Halkos, 1996. "Incomplete information in the acid rain game," Empirica, Springer, vol. 23(2), pages 129-148, June.
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