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VALUATION OF GROUNDWATER QUALITY CONTINGENT VALUES, PUBLIC POLICY NEEDS, AND DAMAGE FUNCTIONS

dc.contributor.authorPoe, Gregory L.
dc.date.accessioned2018-08-21T17:09:08Z
dc.date.available2018-08-21T17:09:08Z
dc.date.issued1997-11-01
dc.descriptionWP 1997-22 November 1997
dc.description.abstractIn a departure from past contingent valuation research of groundwater quality, this paper estimates a damage function for nitrate exposures based on actual water test results of individual wells. From the perspective of reliability, it is argued that such a full information approach more closely represents the goal of valuation research in this area -to estimate the economic values that people would place on improving water quality if they were actually experiencing contaminated water. The adoption of a damage function approach linking willingness to pay to actual exposures is also more useful to policy makers at the study site because it potentially provides benefit information to a broad range of policy options. Finally, because the damage function is based on objective data that could be obtained from other sources such as local well test programs, such an approach may be desirable from a benefits transfer perspective. Damages, as measured by willingness to pay for protecting individual well supplies within a 10 mg/L NO,-N health standards are estimated to be a concave function of nitrate exposure levels.
dc.description.sponsorshipThe author is indebted to Richard Bishop for funding and economic insights. Funding for this project was provided by the Center for Integrated Agricultural Systems, University of Wisconsin-Madison and by Regional Project W-133 through the College of Agriculture and Life Sciences, Cornell University. ARME Working Paper 97-22.
dc.identifier.urihttps://hdl.handle.net/1813/57692
dc.language.isoen_US
dc.publisherCharles H. Dyson School of Applied Economics and Management, Cornell University
dc.titleVALUATION OF GROUNDWATER QUALITY CONTINGENT VALUES, PUBLIC POLICY NEEDS, AND DAMAGE FUNCTIONS
dc.typearticle
dcterms.licensehttp://hdl.handle.net/1813/57595

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