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Marine Debris, Beach Quality, and Non-Market Values

  • V. Smith
  • Xiaolong Zhang
  • Raymond Palmquist

This paper reports the first attempt to measure the importance of controlling marine debris as an aesthetic characteristic of beaches and coastal area. The results are based on a contingent valuation survey designed to estimate the economic value people would place on controlling marine debris on recreational beaches in New Jersey and North Carolina. A Weibull survival model was estimated treating for and against votes as defining censoring points for an unknown willingness to pay distribution. The findings suggest: (1) people do distinguish situations with differing amounts of debris when they are described using color photographs; (2) the pilot survey implies measures of people's willingness to pay (WTP) for debris control are consistent with a scope test in that larger WTP is associated with programs intended to address situations for more serious background levels of debris; and (3) local beach conditions seem to influence how people interpreted the plans describing beach conditions without the proposed control programs. Copyright Kluwer Academic Publishers 1997

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File URL: http://hdl.handle.net/10.1023/A:1026465413899
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Article provided by European Association of Environmental and Resource Economists in its journal Environmental and Resource Economics.

Volume (Year): 10 (1997)
Issue (Month): 3 (October)
Pages: 223-247

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Handle: RePEc:kap:enreec:v:10:y:1997:i:3:p:223-247
Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100263

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  1. Paul R. Portney, 1994. "The Contingent Valuation Debate: Why Economists Should Care," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 3-17, Fall.
  2. Carson, R.T. & Mitchell, R.C. & Hanemann, W.M. & Kopp, R.J. & Presser, S. & Ruud, P.A., 1992. "A Contingent Valuation Study of Lost Passive Use Values Resulting From the Exxon Valdez Oil Spill," MPRA Paper 6984, University Library of Munich, Germany.
  3. Poirier, Dale J., 1980. "Partial observability in bivariate probit models," Journal of Econometrics, Elsevier, vol. 12(2), pages 209-217, February.
  4. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
  5. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
  6. McConnell, K. E., 1990. "Models for referendum data: The structure of discrete choice models for contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 19-34, January.
  7. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
  8. Kopp, Raymond & Smith, V. Kerry & Mitchell, Robert & Presser, Stanley & Ruud, Paul & Hanemann, W. Michael & Krosnick, Jon & Carson, Richard, 1995. "Referendum Design and Contingent Valuation: The NOAA Panel's No-Vote Recommendation," Discussion Papers dp-96-05, Resources For the Future.
  9. V. Kerry Smith, 1993. "Nonmarket Valuation of Environmental Resources: An Interpretive Appraisal," Land Economics, University of Wisconsin Press, vol. 69(1), pages 1-26.
  10. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
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