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To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance

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  • Sauter, Philipp A.
  • Möllmann, Torsten B.
  • Anastassiadis, Friederike
  • Mußhoff, Oliver
  • Möhring, Bernhard

Abstract

Natural catastrophes in forests have become more damaging in recent years and are expected to further increase according to climate change scenarios. Currently, governmental measures mostly focus on providing financial support, such as direct payments, to forest owners after disasters. However, in the light of more weather extremes, this could lead to a heavier financial burden for national budgets. Therefore, the current financial support system has to be reconsidered with regard to privatizing foresters' risks. Insurance could play a key role, but in many countries forests are rarely insured. In order to explain insurance coverage, we analyzed foresters' preferences regarding fire and storm insurance, which are expressed as their willingness-to-pay (WTP). Therefore, we measured the risk attitude and conducted a discrete choice experiment with 137 German foresters, using various policy and forest enterprise scenarios. Our results show that most foresters have a very low WTP for insurance, and individual risk attitude was not of significant influence. The WTP was higher for fire than for storm insurance, presumably due to liquidity preservation motives. Policy programs involving unconditional support after disaster reduced the WTP. Instead, subsidized insurance premiums increased the WTP and thus, should be considered to establish an efficient insurance market.

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  • Sauter, Philipp A. & Möllmann, Torsten B. & Anastassiadis, Friederike & Mußhoff, Oliver & Möhring, Bernhard, 2016. "To insure or not to insure? Analysis of foresters' willingness-to-pay for fire and storm insurance," Forest Policy and Economics, Elsevier, vol. 73(C), pages 78-89.
    • Handle: RePEc:eee:forpol:v:73:y:2016:i:c:p:78-89
    DOI: 10.1016/j.forpol.2016.08.005
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    as
    1. Dai, Yongwu & Chang, Hung-Hao & Liu, Weiping, 2015. "Do forest producers benefit from the forest disaster insurance program? Empirical evidence in Fujian Province of China," Forest Policy and Economics, Elsevier, vol. 50(C), pages 127-133.
    2. Eric Nazindigouba KERE & Jérôme FONCEL & Marielle BRUNETTE, 2014. "Attitude towards Risk and Production Decision: An Empirical analysis on French private forest owners," Working Papers 201410, CERDI.
    3. Davis, Douglas D. & Holt, Charles a., 1993. "Experimental economics: Methods, problems and promise," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 8(2), pages 179-212.
    4. Lisa Anderson & Jennifer Mellor, 2009. "Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure," Journal of Risk and Uncertainty, Springer, vol. 39(2), pages 137-160, October.
    5. Nick Hanley & Mandy Ryan & Robert Wright, 2003. "Estimating the monetary value of health care: lessons from environmental economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 3-16, January.
    6. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    7. Xuan Chen & Barry K. Goodwin & Jeffrey P. Prestemon, 2014. "Is Timber Insurable? A Study of Wildfire Risks in the U.S. Forest Sector Using Spatio-temporal Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 213-231.
    8. 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.
    9. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    10. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    11. Brunette, Marielle & Couture, Stéphane, 2013. "Risk Management Behavior of a Forest Owner to Address Growth Risk," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(2), pages 349-364, August.
    12. Sauter, Philipp & Hermann, Daniel & Mußhoff, Oliver, 2015. "Risk attitudes of foresters, farmers and students: An experimental multimethod comparison," DARE Discussion Papers 1514, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    13. Ruth Vargas Hill & John Hoddinott & Neha Kumar, 2013. "Adoption of weather-index insurance: learning from willingness to pay among a panel of households in rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 385-398, July.
    14. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    15. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    16. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    17. Musshoff, Oliver & Maart-Noelck, Syster Christin, 2014. "An experimental analysis of the behavior of forestry decision-makers — The example of timing in sales decisions," Forest Policy and Economics, Elsevier, vol. 41(C), pages 31-39.
    18. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    19. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    20. Brunette, Marielle & Couture, Stéphane, 2008. "Public compensation for windstorm damage reduces incentives for risk management investments," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 491-499, October.
    21. Marielle Brunette & Jérôme Foncel & Nazindigouba Eric Kéré, 2014. "Attitude towards Risk and Production Decision: An Empirical analysis on French private forest owners," Working Papers halshs-00981350, HAL.
    22. Marielle Brunette & Laure Cabantous & Stéphane Couture & Anne Stenger, 2013. "The impact of governmental assistance on insurance demand under ambiguity: a theoretical model and an experimental test," Theory and Decision, Springer, vol. 75(2), pages 153-174, August.
    23. Deng, Yiling & Munn, Ian A. & Coble, Keith & Yao, Haibo, 2015. "Willingness To Pay For Potential Standing Timber Insurance," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(4), pages 510-538, November.
    24. MOSSIN, Jan, 1968. "Aspects of rational insurance purchasing," LIDAM Reprints CORE 23, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Georges Dionne (ed.), 2013. "Handbook of Insurance," Springer Books, Springer, edition 2, number 978-1-4614-0155-1, April.
    26. 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.
    27. Colin F. Camerer & Howard Kunreuther, 1989. "Decision processes for low probability events: Policy implications," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 8(4), pages 565-592.
    28. Susan Laury & Melayne McInnes & J. Swarthout, 2009. "Insurance decisions for low-probability losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 17-44, August.
    29. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    30. Holecy, Jan & Hanewinkel, Marc, 2006. "A forest management risk insurance model and its application to coniferous stands in southwest Germany," Forest Policy and Economics, Elsevier, vol. 8(2), pages 161-174, March.
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    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. Julie Thomas & Marielle Brunette & Antoine Leblois, 2021. "Adapting forest management practices to climate change : Lessons from a survey of French private forest owners," Working Papers hal-03142772, HAL.
    4. Thomas, J. & Brunette, M. & Leblois, A., 2022. "The determinants of adapting forest management practices to climate change: Lessons from a survey of French private forest owners," Forest Policy and Economics, Elsevier, vol. 135(C).
    5. Yiling Deng & Ian A. Munn & Haibo Yao, 2021. "Attributes‐based conjoint analysis of landowner preferences for standing timber insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 421-444, December.
    6. Bastit, Félix & Brunette, Marielle & Montagné-Huck, Claire, 2023. "Pests, wind and fire: A multi-hazard risk review for natural disturbances in forests," Ecological Economics, Elsevier, vol. 205(C).
    7. Cipollaro, Maria & Sacchelli, Sandro, 2018. "Demand and potential subsidy level for forest insurance market in Demand and potential subsidy level for forest insurance market in Italy," 2018 Seventh AIEAA Conference, June 14-15, Conegliano, Italy 275647, Italian Association of Agricultural and Applied Economics (AIEAA).
    8. Félix Bastit & Marielle Brunette & Claire Montagne-Huck, 2021. "Earth, wind and fire: A multi-hazard risk review for natural disturbances in forests," Working Papers of BETA 2021-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Ye Song & Hongjun Peng, 2019. "Strategies of Forestry Carbon Sink under Forest Insurance and Subsidies," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    10. 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.
    11. Michels, Marius & Wever, Hendrik & Musshoff, Oliver, 2023. "Drones take flight in forests: Uncovering the ‘tree’-mendous potential and ‘timber’-rific challenges for German forest managers by applying the technology acceptance model," Forest Policy and Economics, Elsevier, vol. 157(C).
    12. Sauter, Philipp A. & Hermann, Daniel & Mußhoff, Oliver, 2018. "Are foresters really risk-averse? A multi-method analysis and a cross-occupational comparison," Forest Policy and Economics, Elsevier, vol. 95(C), pages 37-45.
    13. 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.
    14. Chun-Min Zhang, 2020. "Seismic risk-coping behavior in rural ethnic minority communities in Dali, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3499-3522, September.

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