The Effect of Uncertainty on Pollution Control Policy
AbstractI study a class of differential games of pollution control with profit functions that are polynomial in the global pollution stock. Given an emissions path satisfying mild regularity conditions, a simple polynomial ambient transfer scheme is exhibited that induces it in Markov-perfect equilibrium (MPE). Proposed transfers are a polynomial function of the difference between actual and desired pollution levels; moreover, they are designed so that in MPE no tax or subsidy is ever levied. Their applicability under stochastic pollution dynamics is studied for a symmetric game of polluting oligopolists with linear demand. I discuss a quadratic scheme that induces agents to adopt Markovian emissions strategies that are stationary and linear-decreasing in total pollution. Total expected ambient transfers are always non-positive and increase linearly in volatility and the absolute value of the slope of the inverse demand function. However, if the regulator is interested in inducing a constant emissions strategy then, in expectation, transfers vanish.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 16898.
Date of creation: Jul 2009
Date of revision:
differential games; stochastic dynamics; nonpoint source pollution; policy design;
Find related papers by JEL classification:
- H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
- H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-08-30 (All new papers)
- NEP-ENE-2009-08-30 (Energy Economics)
- NEP-ENV-2009-08-30 (Environmental Economics)
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- Tsur, Yacov & de Gorter, Harry, 2012. "Dynamic regulation of nonpoint source pollution when the number of emitters is large," Discussion Papers 122124, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
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- Ewald, Christian-Oliver & Wang, Wen-Kai, 2011. "Analytic solutions for infinite horizon stochastic optimal control problems via finite horizon approximation: A practical guide," Mathematical Social Sciences, Elsevier, vol. 61(3), pages 146-151, May.
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