Verifiable and non-verifiable anonymous mechanisms for regulating a polluting monopolist
James Prieger () and
Nicholas Sanders
Journal of Environmental Economics and Management, 2012, vol. 64, issue 3, 410-426
Abstract:
Optimal regulation of a polluting natural monopolist must correct for both external damages and market power to achieve a social optimum. Existing non-Bayesian regulatory methods require knowledge of the demand function, while Bayesian schemes require knowledge of the underlying cost distribution. We introduce mechanisms adapted to use less information. Our Price-based Subsidy (PS) mechanisms give the firm a transfer that matches or approximates the incremental surplus generated each period. The regulator need not observe the abatement activity or know the demand, cost, or damage functions of the firm. All of the mechanisms induce the firm to price at marginal social cost, either immediately or asymptotically.
Keywords: Surplus subsidy schemes; Polluting monopolist; Verifiable regulatory mechanisms (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0095069612000605
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Verifiable and Non-Verifiable Anonymous Mechanisms for Regulating a Polluting Monopolist (2011) 
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:eee:jeeman:v:64:y:2012:i:3:p:410-426
DOI: 10.1016/j.jeem.2012.05.006
Access Statistics for this article
Journal of Environmental Economics and Management is currently edited by M.A. Cole, A. Lange, D.J. Phaneuf, D. Popp, M.J. Roberts, M.D. Smith, C. Timmins, Q. Weninger and A.J. Yates
More articles in Journal of Environmental Economics and Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().