Emissions Control Policies Under Uncertainty and Learning


BibTeX reference

We compare the use of price-based policies or taxes, and quantity-based policies or quotas, for controlling emissions in a dynamic setup when the regulator faces two sources of uncertainty: (i) market-related uncertainty; and (ii) ecological uncertainty. We assume that the regulator is an anticipated learner and the regulator and firms have asymmetric information. Our results suggest that the expected level of emissions is the same under taxes and quotas. However, the comparison of the total benefits related to these policies suggests that taxes dominate quotas, that is, they provide a higher social welfare. Even though taxes have some benefits over quotas, neither learning nor ecological uncertainty affect the choice of policy, i.e., the only factor having such an impact is uncertainty in the instantaneous net emissions benefits (market-related uncertainty). Besides, the more volatile is this uncertainty, the more benefits of taxes over quotas. Ecological uncertainty leads to a difference between the emissions rule under the informed and anticipated learning assumption. However, the direction of this difference depends on the beliefs bias with regard to ecological uncertainty. We also find that a change in the regulator's beliefs toward more optimistic views will increase the emissions.

, 16 pages

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Emissions control policies under uncertainty and rational learning in a linear-state dynamic model
Automatica, 50(2), 719–726, 2014 BibTeX reference