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Demand for environmental policies to improve health: Evaluating community-level policy scenarios

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  • Bosworth, Ryan
  • Cameron, Trudy Ann
  • DeShazo, J.R.

Abstract

Using a national survey and a discrete choice experiment format, we estimate demand for environmental polices to improve health. We use a richly detailed community-level approach that describes illnesses avoided, premature deaths avoided, policy duration, and the affected population size. We allow preferences for policy attributes to vary systematically with the scenario design, with the source of risk and type of health threat, and with respondent characteristics. Using a willingness to pay (WTP) framework similar to that used for studies of individual risk, we find that omission of illness information leads to an upward bias in estimates of the value of avoided premature deaths and that individuals view avoided deaths and avoided illnesses as substitutes. We also find evidence of strongly diminishing marginal utility in policy scope. Differences in marginal WTP from different sources of risk or types of illness appear very small relative to differences associated with respondent characteristics and/or perceptions. Self-interest strongly dominates altruistic considerations.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Environmental Economics and Management.

Volume (Year): 57 (2009)
Issue (Month): 3 (May)
Pages: 293-308

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Handle: RePEc:eee:jeeman:v:57:y:2009:i:3:p:293-308

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Web page: http://www.elsevier.com/locate/inca/622870

Related research

Keywords: Morbidity Mortality Public health VSL Environmental health Risk prevention;

References

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Citations

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Cited by:
  1. Marit Kragt & Jeffrey Bennett, 2012. "Attribute Framing in Choice Experiments: How Do Attribute Level Descriptions Affect Value Estimates?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 51(1), pages 43-59, January.
  2. Laura Taylor & Mark Morrison & Kevin Boyle, 2010. "Exchange Rules and the Incentive Compatibility of Choice Experiments," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 47(2), pages 197-220, October.
  3. Veronesi, Marcella & Chawla, Fabienne & Maurer, Max & Lienert, Judit, 2014. "Climate change and the willingness to pay to reduce ecological and health risks from wastewater flooding in urban centers and the environment," Ecological Economics, Elsevier, Elsevier, vol. 98(C), pages 1-10.
  4. Anna Alberini & Milan Šcasný, 2010. "Does the Cause of Death Matter? The Effect of Dread, Controllability, Exposure and Latency on the Vsl," Working Papers, Fondazione Eni Enrico Mattei 2010.139, Fondazione Eni Enrico Mattei.
  5. Veronesi, Marcella & Schlondorn, Tim & Zabel, Astrid & Engel, Stefanie, 2012. "Designing REDD+ Schemes to Address Permanence Concerns: Empirical Evidence from Kenya," Congress Papers, Italian Association of Agricultural and Applied Economics (AIEAA) 124131, Italian Association of Agricultural and Applied Economics (AIEAA).
  6. John C. Whitehead & O. Ashton Morgan & William L. Huth & Gregory S. Martin & Richard Sjolander, 2012. "Willingness-to-Pay for Oyster Consumption Mortality Risk Reductions," Working Papers, Department of Economics, Appalachian State University 12-07, Department of Economics, Appalachian State University.
  7. Konishi, Yoshifumi & Adachi, Kenji, 2011. "A framework for estimating willingness-to-pay to avoid endogenous environmental risks," Resource and Energy Economics, Elsevier, Elsevier, vol. 33(1), pages 130-154, January.
  8. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers, Scuola Superiore Sant'Anna of Pisa, Istituto di Management 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
  9. Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, Elsevier, vol. 65(1), pages 87-109.

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