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How the USA can benefit from risk-based premiums combined with flood protection

Author

Listed:
  • Lars T. Ruig

    (VU University Amsterdam
    Royal HaskoningDHV)

  • Toon Haer

    (VU University Amsterdam)

  • Hans Moel

    (VU University Amsterdam)

  • Samuel D. Brody

    (Texas A&M University Galveston Campus)

  • W. J. Wouter Botzen

    (VU University Amsterdam
    University of Pennsylvania
    Utrecht University)

  • Jeffrey Czajkowski

    (National Association of Insurance Commissioners (NAIC))

  • Jeroen C. J. H. Aerts

    (VU University Amsterdam
    Deltares)

Abstract

Flood risk management in the USA is largely embedded in the National Flood Insurance Program (NFIP). Climate change and increasing exposure in flood plains pose a challenge to flood risk managers and make it vital to reduce risk in the future. The proposed reforms are steering the NFIP to risk-based premiums, but it is uncertain if the reforms will result in unaffordability and incentivize risk-reduction investments or how the NFIP is affected by large-scale adaptation efforts. Using an agent-based model approach for current and future scenarios, we demonstrate that risk-based premiums will yield a positive societal benefit (US$10 billion) because they will incentivize household risk-reduction investments. Moreover, our results show that proactive investment in large-scale adaptation measures complements a transition to risk-based premiums to yield a higher overall societal benefit (US$26 billion). We suggest that transitioning the NFIP to risk-based premiums can only be secured by additional investments in large-scale flood protection infrastructure.

Suggested Citation

  • Lars T. Ruig & Toon Haer & Hans Moel & Samuel D. Brody & W. J. Wouter Botzen & Jeffrey Czajkowski & Jeroen C. J. H. Aerts, 2022. "How the USA can benefit from risk-based premiums combined with flood protection," Nature Climate Change, Nature, vol. 12(11), pages 995-998, November.
  • Handle: RePEc:nat:natcli:v:12:y:2022:i:11:d:10.1038_s41558-022-01501-7
    DOI: 10.1038/s41558-022-01501-7
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    Cited by:

    1. Yan, Shuli & Wang, Jingyuan & Wu, Liangpeng, 2024. "Dynamics of green transition based on stock-flow consistent model considering compound risks," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 530-553.

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