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Information Asymmetries, Uncertainties, and Cleanup Delays at Superfund Sites


Gordon C. Rausser


University of California, Berkeley - Department of Agricultural and Resource Economics

Leo K. Simon


U.C. Berkeley, Dept of Agricultural and Resource Economics

Jinhua Zhao


Michigan State University


Journal of Environmental Economics and Management (January 1998)

Abstract:     
Superfund cleanup has been extremely slow. Traditional analysis has centered around reducing negotiation and litigation to expedite the cleanup process. We investigate other factors which provide possible incentives for delay, namely discounting, risk aversion, and compensation for off-site damage. We find that liability share plays an essential role in PRPs' incentives to delay. Commonly adopted EPA strategies, such as negotiating with PRP steering committees and buying out de minimis PRPs, may also lead to delay. The paper also designs a Bayesian mechanism for information extraction, and finds that the lump sum transfer mechanism is not always efficient.

JEL Classification: D82, Q28

Accepted Paper Series


Date posted: February 12, 1998  

Suggested Citation

Rausser, Gordon C., Simon, Leo K. and Zhao, Jinhua, Information Asymmetries, Uncertainties, and Cleanup Delays at Superfund Sites. Journal of Environmental Economics and Management (January 1998). Available at SSRN: http://ssrn.com/abstract=46949

Contact Information

Gordon C. Rausser (Contact Author)
University of California, Berkeley - Department of Agricultural and Resource Economics ( email )
207 Giannini Hall no. 3310
Berkeley, CA 94720
United States
510-642-6591 (Phone)
510-643-0287 (Fax)
HOME PAGE: http://are.berkeley.edu/~rausser/
Leo K. Simon
U.C. Berkeley, Dept of Agricultural and Resource Economics ( email )
207 Giannini Hall
Berkeley, CA 94720
United States
510-642-8430 (Phone)
510-643-8911 (Fax)
Jinhua Zhao
Michigan State University ( email )
Department of Economics
Department of Ag., Food and Resource Economics
East Lansing, MI 48824
United States
HOME PAGE: http://www.msu.edu/~jzhao
Feedback to SSRN (Beta)


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