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Regulation of Stock Externalities with Correlated Abatement Costs

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  • Larry Karp
  • Jiangfeng Zhang

Abstract

We study a dynamic regulation model where firms’ actions contribute to a stock externality. The regulator and firms have asymmetric information about serially correlated abatement costs. With price-based policies such as taxes, or if firms trade quotas efficiently, the regulator learns about the evolution of both the stock and costs. This ability to learn about costs is important in determining the ranking of taxes and quotas, and in determining the value of a feedback rather than an open-loop policy. For a range of parameter values commonly used in global warming studies, taxes dominate quotas, regardless of whether the regulator uses an open-loop or a feedback policy, and regardless of the extent of cost correlation. Copyright Springer 2005

Suggested Citation

  • Larry Karp & Jiangfeng Zhang, 2005. "Regulation of Stock Externalities with Correlated Abatement Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(2), pages 273-300, October.
    • Handle: RePEc:kap:enreec:v:32:y:2005:i:2:p:273-300
    DOI: 10.1007/s10640-005-4678-6
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    References listed on IDEAS

    as
    1. Brozovic, Nicholas & Sunding, David L. & Zilberman, David, 2004. "Prices versus Quantities Reconsidered," 2004 Annual meeting, August 1-4, Denver, CO 20257, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Karp, Larry & Zhang, Jiangfeng, 2006. "Regulation with anticipated learning about environmental damages," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 259-279, May.
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    More about this item

    Keywords

    asymmetric information; choice of instruments; correlated costs; learning; pollution control; C61; D8; H21; Q28;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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