Production and Abatement Distortions under Noisy Green Taxes
Hongli Feng and
David Hennessy
ISU General Staff Papers from Iowa State University, Department of Economics
Abstract:
A pollution regulator seeking to maximize social surplus can be viewed as facing two efficiency problems. One is that, given abatement technology investment decisions, it should attempt to ensure that firms which should produce do produce and firms which should not produce do not produce. This ex-post efficiency problem is not trivial when there is noise concerning the extent of environmental damage a firm does. We use a Bayesian information framework to show that the regulator may find it efficient to tax a firm that reads as a high (low) damage polluter at less (more) than the damage reading. Unfortunately when an abatement decision has to be made, this ex-post efficient tax system also dampens the incentive to abate. In the absence of wrong-firm concerns, a regulator can solve the abatement problem by an ex ante declaration that taxes will not be adjusted for signal noise. However, the regulator has a commitment problem as such taxes may not be ex-post efficient. The most appropriate policy may involve a combination of instruments.
Date: 2009-02-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://dr.lib.iastate.edu/server/api/core/bitstre ... 3a5febc6012a/content
Our link check indicates that this URL is bad, the error code is: 403 Forbidden
Related works:
Journal Article: Production and Abatement Distortions under Noisy Green Taxes (2009) 
Working Paper: Production and Abatement Distortions under Noisy Green Taxes (2005) 
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:isu:genstf:200902010800001428
Access Statistics for this paper
More papers in ISU General Staff Papers from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC.
Bibliographic data for series maintained by Curtis Balmer ().