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Risk Preferences in Strategic Wildfire Decision Making: A Choice Experiment with U.S. Wildfire Managers

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  • Matthew J. Wibbenmeyer
  • Michael S. Hand
  • David E. Calkin
  • Tyron J. Venn
  • Matthew P. Thompson

Abstract

Federal policy has embraced risa management as an appropriate paradigm for wildfire management. Economic theory suggests that over repeated wildfire events, potential economic costs and risas of ecological damage are optimally balanced when management decisions are free from biases, risa aversion, and risa seeking. Of primary concern in this article is how managers respond to wildfire risa, including the potential effect of wildfires (on ecological values, structures, and safety) and the likelihood of different fire outcomes. We use responses to a choice experiment questionnaire of U.S. federal wildfire managers to measure attitudes toward several components of wildfire risa and to test whether observed risa attitudes are consistent with the efficient allocation of wildfire suppression resources. Our results indicate that fire managers’ decisions are consistent with nonexpected utility theories of decisions under risa. Managers may overallocate firefighting resources when the likelihood or potential magnitude of damage from fires is low, and sensitivity to changes in the probability of fire outcomes depends on whether probabilities are close to one or zero and the magnitude of the potential harm.

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  • Matthew J. Wibbenmeyer & Michael S. Hand & David E. Calkin & Tyron J. Venn & Matthew P. Thompson, 2013. "Risk Preferences in Strategic Wildfire Decision Making: A Choice Experiment with U.S. Wildfire Managers," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1021-1037, June.
  • Handle: RePEc:wly:riskan:v:33:y:2013:i:6:p:1021-1037
    DOI: 10.1111/j.1539-6924.2012.01894.x
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    Cited by:

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    2. Torres, Cati & Faccioli, Michela & Riera Font, Antoni, 2017. "Waiting or acting now? The effect on willingness-to-pay of delivering inherent uncertainty information in choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 231-240.
    3. Hangjian Wu & Emmanouil Mentzakis & Marije Schaafsma, 2022. "Exploring Different Assumptions about Outcome-Related Risk Perceptions in Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 531-572, March.
    4. Michael S. Hand & Matthew J. Wibbenmeyer & David E. Calkin & Matthew P. Thompson, 2015. "Risk Preferences, Probability Weighting, and Strategy Tradeoffs in Wildfire Management," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1876-1891, October.
    5. Alló, M. & Loureiro, M.L., 2020. "Assessing preferences for wildfire prevention policies in Spain," Forest Policy and Economics, Elsevier, vol. 115(C).
    6. Karin L. Riley & Matthew P. Thompson & Joe H. Scott & Julie W. Gilbertson-Day, 2018. "A Model-Based Framework to Evaluate Alternative Wildfire Suppression Strategies," Resources, MDPI, vol. 7(1), pages 1-26, January.
    7. Champ, Patricia A. & Meldrum, James R. & Brenkert-Smith, Hannah & Warziniack, Travis W. & Barth, Christopher M. & Falk, Lilia C. & Gomez, Jamie B., 2020. "Do actions speak louder than words? Comparing the effect of risk aversion on objective and self-reported mitigation measures," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 301-313.
    8. Rollins, Kimberly S. & Zahid, Muhammad Umer & Taylor, Michael H., 2022. "Willingness to Pay for Fuels Treatments for Forest Fire Risk Reduction at Lake Tahoe," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322382, Agricultural and Applied Economics Association.
    9. Rossi, David & Kuusela, Olli-Pekka, 2020. "The influence of risk attitudes on suppression spending and on wildland fire program budgeting," Forest Policy and Economics, Elsevier, vol. 113(C).
    10. Christos Makriyannis & Robert J. Johnston & Ewa Zawojska, 2022. "Do numerical probabilities promote informed stated preference responses under inherent uncertainty? Insight from a coastal adaptation choice experiment," Working Papers 2022-05, Faculty of Economic Sciences, University of Warsaw.

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