Does Stochasticity matter? Dynamic Pigouvian Taxation in an Uncertain Environment
The effects of discounting, stochasticity, non-linearities and maximum decay upon an optimal corrective tax are analyzed using stochastic dynamic optimization. Optimal corrective taxes are derived as explicit feedback control laws in the presence of both flow and stock externalities when the decay of aggregated pollution is subject to a general stochastic process. This represents an adaptive approach to regulation of the environment. The problem has been solved using a non-linear Hamilton-Jacobi-Bellman equation. The model applied is quite general in the state variable, accumulated pollution, and in the control variable, production. The objective function is to maximize expected social welfare defined as the sum of consumers’ and producers’ surplus adjusted for externalities. Social welfare is not assumed to be separable in production and accumulated pollution. The main result is that the optimal tax is more sensitive to discounting and non-linearities than to stochasticity.
|Date of creation:||01 Jun 2004|
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- Jorgenson, Dale W. & Wilcoxen, Peter J., 1990. "Intertemporal general equilibrium modeling of U.S. environmental regulation," Journal of Policy Modeling, Elsevier, vol. 12(4), pages 715-744.
- Wirl Franz, 1994. "Pigouvian Taxation of Energy for Flow and Stock Externalities and Strategic, Noncompetitive Energy Pricing," Journal of Environmental Economics and Management, Elsevier, vol. 26(1), pages 1-18, January.
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- Wirl, Franz, 1994. "Global warming and carbon taxes: Dynamic and strategic interactions between energy consumers and producers," Journal of Policy Modeling, Elsevier, vol. 16(6), pages 577-596, December.
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