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Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality

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  • Douglas S. Noonan
  • Abdul‐Akeem A. Sadiq

Abstract

Flooding remains a major problem for the United States, causing numerous deaths and damaging countless properties. To reduce the impact of flooding on communities, the U.S. government established the Community Rating System (CRS) in 1990 to reduce flood damages by incentivizing communities to engage in flood risk management initiatives that surpass those required by the National Flood Insurance Program. In return, communities enjoy discounted flood insurance premiums. Despite the fact that the CRS raises concerns about the potential for unevenly distributed impacts across different income groups, no study has examined the equity implications of the CRS. This study thus investigates the possibility of unintended consequences of the CRS by answering the question: What is the effect of the CRS on poverty and income inequality? Understanding the impacts of the CRS on poverty and income inequality is useful in fully assessing the unintended consequences of the CRS. The study estimates four fixed‐effects regression models using a panel data set of neighborhood‐level observations from 1970 to 2010. The results indicate that median incomes are lower in CRS communities, but rise in floodplains. Also, the CRS attracts poor residents, but relocates them away from floodplains. Additionally, the CRS attracts top earners, including in floodplains. Finally, the CRS encourages income inequality, but discourages income inequality in floodplains. A better understanding of these unintended consequences of the CRS on poverty and income inequality can help to improve the design and performance of the CRS and, ultimately, increase community resilience to flood disasters.

Suggested Citation

  • Douglas S. Noonan & Abdul‐Akeem A. Sadiq, 2018. "Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality," Risk Analysis, John Wiley & Sons, vol. 38(3), pages 489-503, March.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:3:p:489-503
    DOI: 10.1111/risa.12853
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    1. Douglas S. Noonan & Xian Liu, 2019. "Heading for the Hills? Effects of Community Flood Management on Local Adaptation to Flood Risks," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 800-822, October.
    2. 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.
    3. Noonan, Douglas S. & Sadiq, Abdul-Akeem, 2019. "Community-scale Flood Risk Management: Effects of a Voluntary National Program on Migration and Development," Ecological Economics, Elsevier, vol. 157(C), pages 92-99.
    4. Liu, Xian & Noonan, Douglas, 2022. "Building underwater: Effects of community-scale flood management on housing development," Journal of Housing Economics, Elsevier, vol. 57(C).
    5. Pollack, Adam & Helgeson, Casey & Kousky, Carolyn & Keller, Klaus, 2023. "Transparency on underlying values is needed for useful equity measurements," OSF Preprints kvyxr, Center for Open Science.
    6. Bakkensen, Laura A. & Ma, Lala, 2020. "Sorting over flood risk and implications for policy reform," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    7. Rasheed O. Alao & Andrew A. Alola, 2022. "The role of foreign aids and income inequality in poverty reduction: A sustainable development approach for Africa?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 24(2), pages 456-469, December.
    8. Ren, Yongwang, 2022. "The Spillover Effect of The Community Rating System," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322071, Agricultural and Applied Economics Association.

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