Environmental Enforcement with Endogenous Ambient Monitoring
Laurent Franckx ()
Environmental & Resource Economics, 2005, vol. 30, issue 2, 195-220
We consider an inspection game between n polluting firms and an environmental enforcement agency. If the cost of monitoring ambient pollution is low enough, the optimal inspection policy consists in imposing the maximal possible fine, and mixing between observing ambient pollution and not conducting any inspection at all. However, with stringent upper limits on the fine, the agency mixes between observing ambient pollution and inspecting all firms. The observation of ambient pollution is always followed by sequentially rational firm inspections. Comparisons with Franckx (2002a, Journal of Environmental Economics and Management 43, 71–92, 2002b, Topics in Economic Analysis Policy 2(1), Article 1) show that commitment power has a very strong impact on the value of prior information. Copyright Springer 2005
Keywords: ambient monitoring; commitment; environmental enforcement (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
Working Paper: Environmental enforcement with endogenous ambient monitoring (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kap:enreec:v:30:y:2005:i:2:p:195-220
Ordering information: This journal article can be ordered from
http://www.springer. ... al/journal/10640/PS2
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 ().