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Insuring future climate catastrophes

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  • Howard Kunreuther
  • Erwann Michel-Kerjan
  • Nicola Ranger

Abstract

The combined influences of a change in climate patterns and the increased concentration of property and economic activity in hazard-prone areas has the potential of restricting the availability and affordability of insurance. This paper evaluates the premiums that private insurers are likely to charge and their ability to cover residential losses against hurricane risk in Florida as a function of (a) recent projections on future hurricane activity in 2020 and 2040; (b) insurance market conditions (i.e., soft or hard market); (c) the availability of reinsurance; and (d) the adoption of adaptation measures (i.e., implementation of physical risk reduction measures to reduce wind damage to the structure and buildings). We find that uncertainties in climate projections translate into a divergent picture for insurance in Florida. Under dynamic climate models, the total price of insurance for Florida (assuming constant exposure) could increase significantly by 2040, from $12.9 billion (in 1990) to $14.2 billion, under hard market conditions. Under lower bound projections, premiums could decline to $9.4 billion by 2040. Taking a broader range of climate change scenarios, including several statistical ones, prices could be between $4.7 and $32.1 billion by 2040. The upper end of this range suggests that insurance could be unaffordable for many people in Florida. The adoption of most recent building codes for all residences in the state could reduce by nearly half the expected price of insurance so that even under high climate change scenarios, insurance premiums would be lower than under the 1990 baseline climate scenario. Under a full adaptation scenario, if insurers can obtain reinsurance, they will be able to cover 100 % of the loss if they allocated 10 % of their surplus to cover a 100-year return hurricane, and 63 % and 55 % of losses from a 250-year hurricane in 2020 and 2040. Property-level adaptation and the maintenance of strong and competitive reinsurance markets will thus be essential to maintain the affordability and availability of insurance in the new era of catastrophe risk. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Howard Kunreuther & Erwann Michel-Kerjan & Nicola Ranger, 2013. "Insuring future climate catastrophes," Climatic Change, Springer, vol. 118(2), pages 339-354, May.
    • Handle: RePEc:spr:climat:v:118:y:2013:i:2:p:339-354
    DOI: 10.1007/s10584-012-0625-z
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    References listed on IDEAS

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    1. Doherty, Neil A & Garven, James R, 1995. "Insurance Cycles: Interest Rates and the Capacity Constraint Model," The Journal of Business, University of Chicago Press, vol. 68(3), pages 383-404, July.
    2. Peter Hoeppe & Eugene N. Gurenko, 2006. "Scientific and economic rationales for innovative climate insurance solutions," Climate Policy, Taylor & Francis Journals, vol. 6(6), pages 607-620, November.
    3. Kunreuther, Howard C. & Michel-Kerjan, Erwann O., 2011. "At War with the Weather: Managing Large-Scale Risks in a New Era of Catastrophes," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516543, December.
    4. Kerry Emanuel, 2005. "Increasing destructiveness of tropical cyclones over the past 30 years," Nature, Nature, vol. 436(7051), pages 686-688, August.
    5. Erwann O. Michel-Kerjan, 2010. "Catastrophe Economics: The National Flood Insurance Program," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 165-186, Fall.
    6. Anne Gron, 1994. "Capacity Constraints and Cycles in Property-Casualty Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 110-127, Spring.
    7. J. David Cummins & Olivier Mahul, 2009. "Catastrophe Risk Financing in Developing Countries : Principles for Public Intervention," World Bank Publications - Books, The World Bank Group, number 6289, December.
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    Cited by:

    1. Max Tesselaar & W. J. Wouter Botzen & Toon Haer & Paul Hudson & Timothy Tiggeloven & Jeroen C. J. H. Aerts, 2020. "Regional Inequalities in Flood Insurance Affordability and Uptake under Climate Change," Sustainability, MDPI, vol. 12(20), pages 1-30, October.
    2. Yang‐Che Wu & Ming Jing Yang, 2018. "The effectiveness of asset, liability and equity hedging against catastrophe risk: the cases of winter storms in North America and Europe," European Financial Management, European Financial Management Association, vol. 24(5), pages 893-918, November.
    3. Tesselaar, Max & Botzen, W.J. Wouter & Robinson, Peter J. & Aerts, Jeroen C.J.H. & Zhou, Fujin, 2022. "Charity hazard and the flood insurance protection gap: An EU scale assessment under climate change," Ecological Economics, Elsevier, vol. 193(C).

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