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A microeconometric analysis of wildfire suppression decisions in the Western United States

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Listed:
  • Rossi, David
  • Kuusela, Olli-Pekka
  • Dunn, Christopher

Abstract

Full suppression strategies remain the dominant option in wildfire management, despite a large body of research demonstrating the ecological and economic benefits of allowing unplanned wildfires to burn under favorable conditions. Consequently, empirical research identifying and understanding the factors that contribute to these decisions within public land management agencies has become of critical importance in efforts to improve management outcomes. This paper assesses the importance of a set of institutional and socioeconomic factors with a random utility model of incident commander suppression decisions. We compare the importance of these factors on chosen strategies before and after an update to federal fire policy implementation guidance and an associated change to federal fire budgeting policy implemented in Fiscal Year 2010. We find that while the update to federal fire policy guidance may have been effective at increasing the probability that managers adopted a strategy other than full suppression, the subsequent increase in suppression budget allotments offset this impact, rendering no true difference in probabilities after the policy change.

Suggested Citation

  • Rossi, David & Kuusela, Olli-Pekka & Dunn, Christopher, 2022. "A microeconometric analysis of wildfire suppression decisions in the Western United States," Ecological Economics, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:ecolec:v:200:y:2022:i:c:s0921800922001872
    DOI: 10.1016/j.ecolecon.2022.107525
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    References listed on IDEAS

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    1. Ager, Alan A. & Vogler, Kevin C. & Day, Michelle A. & Bailey, John D., 2017. "Economic Opportunities and Trade-Offs in Collaborative Forest Landscape Restoration," Ecological Economics, Elsevier, vol. 136(C), pages 226-239.
    2. Jude Bayham & Jonathan K. Yoder, 2020. "Resource Allocation under Fire," Land Economics, University of Wisconsin Press, vol. 96(1), pages 92-110.
    3. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    4. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    5. Paul J. Ferraro & Juan José Miranda, 2017. "Panel Data Designs and Estimators as Substitutes for Randomized Controlled Trials in the Evaluation of Public Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 281-317.
    6. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    7. Montgomery, Claire A., 1996. "Risk and forest policy: Issues and recent trends in the U.S," Ecological Economics, Elsevier, vol. 16(1), pages 65-72, January.
    8. Jean Beuve & Stéphane Saussier & Julie de Brux, 2018. "An Economic Analysis of Public-Private Partnerships," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02139523, HAL.
    9. J. C. Naylor & A. F. M. Smith, 1982. "Applications of a Method for the Efficient Computation of Posterior Distributions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(3), pages 214-225, November.
    10. Fitch, Ryan A. & Kim, Yeon Su, 2018. "Incorporating Ecosystem Health and Fire Resilience Within the Unified Economic Model of Fire Program Analysis," Ecological Economics, Elsevier, vol. 149(C), pages 98-104.
    11. W. Matt Jolly & Mark A. Cochrane & Patrick H. Freeborn & Zachary A. Holden & Timothy J. Brown & Grant J. Williamson & David M. J. S. Bowman, 2015. "Climate-induced variations in global wildfire danger from 1979 to 2013," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    12. 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).
    13. Lee, Christine & Schlemme, Claire & Murray, Jessica & Unsworth, Robert, 2015. "The cost of climate change: Ecosystem services and wildland fires," Ecological Economics, Elsevier, vol. 116(C), pages 261-269.
    14. J. Scott Long & Sarah A. Mustillo, 2021. "Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes," Sociological Methods & Research, , vol. 50(3), pages 1284-1320, August.
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    More about this item

    Keywords

    Wildfire use; Managing fire for resource benefits; Full suppression; FLAME Act; Discrete choice; Random utility model;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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