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Willingness-to-pay for prescribed fire in the Colorado (USA) wildland urban interface

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  • Kaval, Pamela
  • Loomis, John
  • Seidl, Andy

Abstract

During the summer of 2001, survey data were collected from Colorado residents living near public lands (i.e., the wildland urban interface). Data were collected by telephone after mailing respondents a survey. These data include detailed information of respondents’ views towards wildfire management and willingness-to-pay (WTP) values for prescribed burning. Results indicate that Colorado residents living near public lands are aware that fire is a natural process in their area and are in favor of using prescribed burning for fire risk reduction. They also are willing-to-pay an annual tax for prescribed fire undertaken on the public lands near their homes. Respondents’ support for adopting a fire risk mitigation policy based on prescribed fire depended on perceived fire frequency intervals. The substantial WTP values for prescribed burning indicate that the public living in the wildland urban interface could potentially pay an annual tax, so the burden of wildfire management need no longer predominantly lie in the hands of the general taxpayers.
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Suggested Citation

  • Kaval, Pamela & Loomis, John & Seidl, Andy, 2007. "Willingness-to-pay for prescribed fire in the Colorado (USA) wildland urban interface," Forest Policy and Economics, Elsevier, vol. 9(8), pages 928-937, May.
  • Handle: RePEc:eee:forpol:v:9:y:2007:i:8:p:928-937
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    1. W. Michael Hanemann, 1989. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Response Data: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 1057-1061.
    2. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    3. Timothy Park & John B. Loomis & Michael Creel, 1991. "Confidence Intervals for Evaluating Benefits Estimates from Dichotomous Choice Contingent Valuation Studies," Land Economics, University of Wisconsin Press, vol. 67(1), pages 64-73.
    4. John B. Loomis & Lucas S. Bair & Armando González-Cabán, 2002. "Language-Related Differences in a Contingent Valuation Study: English Versus Spanish," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1091-1102.
    5. 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.
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    Cited by:

    1. Kaval, Pamela, 2008. "Is There a Link Between Actual and Perceived Wildfire Danger?," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 37090, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Stetler, Kyle M. & Venn, Tyron J. & Calkin, David E., 2010. "The effects of wildfire and environmental amenities on property values in northwest Montana, USA," Ecological Economics, Elsevier, vol. 69(11), pages 2233-2243, September.
    3. Campbell, Robert M. & Venn, Tyron J. & Anderson, Nathaniel M., 2016. "Social preferences toward energy generation with woody biomass from public forests in Montana, USA," Forest Policy and Economics, Elsevier, vol. 73(C), pages 58-67.
    4. Remoundou, Kyriaki & Kountouris, Yiannis & Koundouri, Phoebe, 2012. "Is the value of an environmental public good sensitive to the providing institution?," Resource and Energy Economics, Elsevier, vol. 34(3), pages 381-395.
    5. Mavsar, Robert & Japelj, Anže & Kovač, Marko, 2013. "Trade-offs between fire prevention and provision of ecosystem services in Slovenia," Forest Policy and Economics, Elsevier, vol. 29(C), pages 62-69.
    6. Katuwal, Hari & Venn, Tyron J. & Paveglio, Travis & Prato, Tony, 2015. "Effects of Information Framing and Information Seeking Behavior on Willingness-to-pay for a Wildfire Management Program," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205645, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    7. Czaja, Michael R. & Bright, Alan D. & Cottrell, Stuart P., 2016. "Integrative complexity, beliefs, and attitudes: Application to prescribed fire," Forest Policy and Economics, Elsevier, vol. 62(C), pages 54-61.
    8. Mozumder, Pallab & Raheem, Nejem & Talberth, John & Berrens, Robert P., 2008. "Investigating intended evacuation from wildfires in the wildland-urban interface: Application of a bivariate probit model," Forest Policy and Economics, Elsevier, vol. 10(6), pages 415-423, August.
    9. Varela, Elsa & Jacobsen, Jette Bredahl & Soliño, Mario, 2014. "Understanding the heterogeneity of social preferences for fire prevention management," Ecological Economics, Elsevier, vol. 106(C), pages 91-104.
    10. Pamela Kaval, 2007. "The Link between Perceived and Actual Wildfire Danger: An Economic and Spatial Analysis Study in Colorado (USA)," Working Papers in Economics 07/13, University of Waikato.
    11. Pamela Kaval & Matthew Roskruge, 2009. "The Value of Native Bird Conservation: A New Zealand Case Study," Working Papers in Economics 09/11, University of Waikato.

    More about this item

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q27 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Issues in International Trade
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts

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