Pooling of Uncertainty: Enforcing Tradable Permits Regulation when Emissions are Stochastic
Janusz Mrozek () and
Andrew Keeler
Environmental & Resource Economics, 2004, vol. 29, issue 4, 459-481
Abstract:
An under-appreciated advantage of tradable permits regulation is its ability to create better decision-making when emissions are stochastic. In general, the distribution of stochastic actual emissions around intended emissions results in over- or under-compliance. Permit tradability reduces the extent to which actual aggregate emissions deviate from regulatory targets, by giving firms an additional mechanism for responding to uncertainty. We construct a two period model of permit regulation with ex post enforcement to demonstrate how the permit market distributes uncertainty, and to illustrate the importance of expectations toward permit market outcomes. Copyright Kluwer Academic Publishers 2004
Keywords: enforcement; environmental regulation; stochastic emissions; tradable permits; uncertainty (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10640-004-1043-0 (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:29:y:2004:i:4:p:459-481
Ordering information: This journal article can be ordered from
http://www.springer. ... al/journal/10640/PS2
DOI: 10.1007/s10640-004-1043-0
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 ().