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On insurance as a tool for securing forest restoration after wildfires

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  • Barreal, Jesús
  • Loureiro, Maria L.
  • Picos, Juan

Abstract

Quick recovery of the affected areas after a wildfire is important in order to restore the production of the various ecosystem services. We develop a theoretical valuation model that contains a forest insurance policy, in order to protect the landowner against total or partial losses caused by wildfires. Restoration costs of affected areas are explicitly covered. Such model is used to simulate the changes in rotation and profitability of Pinus pinaster Aiton. in Galicia (NW Spain). We find that in the areas where the risk of wildfires is higher, forest owners may profit the most from subscribing such insurance. Overall, we conclude that insurance is an effective policy to increase the net present value (NPV) of forest investments, particularly when restoration costs are covered.

Suggested Citation

  • Barreal, Jesús & Loureiro, Maria L. & Picos, Juan, 2014. "On insurance as a tool for securing forest restoration after wildfires," Forest Policy and Economics, Elsevier, vol. 42(C), pages 15-23.
    • Handle: RePEc:eee:forpol:v:42:y:2014:i:c:p:15-23
    DOI: 10.1016/j.forpol.2014.02.001
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    Cited by:

    1. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
    2. Feng, Xin & Dai, Yongwu, 2019. "An innovative type of forest insurance in China based on the robust approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 23-32.
    3. Caballero, Gonzalo, 2015. "Community-based forest management institutions in the Galician communal forests: A new institutional approach," Forest Policy and Economics, Elsevier, vol. 50(C), pages 347-356.
    4. Michaela Korená Hillayová & Klára Báliková & Blanka Giertliová & Josef Drábek & Ján Holécy, 2021. "Possibilities of forest property insurance against the risk of fire in Slovakia," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 67(5), pages 204-211.
    5. Marielle Brunette & Stéphane Couture & Jérôme Foncel & Serge S. Garcia, 2017. "Insurance decision against forest fire : An econometric analysis combining experimental and real data," Post-Print hal-02785187, HAL.
    6. Marielle Brunette & Marc Hanewinkel, 2021. "Assurance financière et assurance naturelle : une application à la forêt," Working Papers of BETA 2021-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. Brunette, M. & Holecy, J. & Sedliak, M. & Tucek, J. & Hanewinkel, M., 2015. "An actuarial model of forest insurance against multiple natural hazards in fir (Abies Alba Mill.) stands in Slovakia," Forest Policy and Economics, Elsevier, vol. 55(C), pages 46-57.
    8. M. Brunette & S. Couture & J. Foncel & S. Garcia, 2020. "The decision to insure against forest fire risk: an econometric analysis combining hypothetical real data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 111-133, January.
    9. Sacchelli, Sandro & Cipollaro, Maria & Fabbrizzi, Sara, 2018. "A GIS-based model for multiscale forest insurance analysis: The Italian case study," Forest Policy and Economics, Elsevier, vol. 92(C), pages 106-118.
    10. Qin, Tao & Gu, Xuesong & Tian, Zhiwei & Pan, Huanxue & Deng, Jing & Wan, Li, 2016. "An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China," Journal of Forest Economics, Elsevier, vol. 24(C), pages 37-51.

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