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Valuation Of Groundwater Quality Contingent Values, Public Policy Needs, And Damage Functions

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  • Poe, Gregory L.

Abstract

In 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.

Suggested Citation

  • Poe, Gregory L., 1997. "Valuation Of Groundwater Quality Contingent Values, Public Policy Needs, And Damage Functions," Working Papers 7262, Cornell University, Department of Applied Economics and Management.
    • Handle: RePEc:ags:cudawp:7262
    DOI: 10.22004/ag.econ.7262
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    References listed on IDEAS

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    1. Kirchhoff, Stefanie & Colby, Bonnie G. & LaFrance, Jeffrey T., 1997. "Evaluating the Performance of Benefit Transfer: An Empirical Inquiry," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 75-93, May.
    2. VandenBerg, Timothy P. & Poe, Gregory L. & Powell, John R., 1995. "Assessing the Accuracy of Benefits Transfers: Evidence from a Multi-State Contigent Valuation Study of Groundwater Quality," Working Papers 127936, Cornell University, Department of Applied Economics and Management.
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