Regulation of Stock Externalities with Correlated Abatement Costs
Larry Karp and
Jiangfeng Zhang
Environmental & Resource Economics, 2005, vol. 32, issue 2, 273-300
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
Keywords: asymmetric information; choice of instruments; correlated costs; learning; pollution control; C61; D8; H21; Q28 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10640-005-4678-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:enreec:v:32:y:2005:i:2:p:273-300
Ordering information: This journal article can be ordered from
http://www.springer. ... al/journal/10640/PS2
DOI: 10.1007/s10640-005-4678-6
Access Statistics for this article
Environmental & Resource Economics is currently edited by Ian J. Bateman
More articles in Environmental & Resource Economics from Springer, European Association of Environmental and Resource Economists Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().