Community responses to flooding in risk mitigation actions: Evidence from the community rating system
Corresponding Author
Yanjun (Penny) Liao
Resources For the Future
Correspondence Yanjun (Penny) Liao, Resources For the Future.
Email: [email protected]
Search for more papers by this authorCorresponding Author
Yanjun (Penny) Liao
Resources For the Future
Correspondence Yanjun (Penny) Liao, Resources For the Future.
Email: [email protected]
Search for more papers by this authorAbstract
This paper studies the impact of disaster experiences on communities' engagement in risk mitigation actions, focusing on flooding in the United States. We measure risk mitigation actions using communities' scores in the Community Rating System, an incentive program that scores flood preparedness and mitigation activities and rewards communities with flood insurance premium discounts. Leveraging a panel of communities from 1998 to 2019, we find a significant increase in risk mitigation activities following flood events, in both participation rates and intensity of actions. The effects continue to increase up to 10 years. Communities with greater capacity, particularly those in urban areas, exhibit a much stronger response. The findings highlight the adaptive capacity of communities but also raise several concerns regarding the inefficiency of disaster-driven responses and inequitable outcomes across communities.
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REFERENCES
- Anderson, S. E., Bart, R. R., Kennedy, M. C., MacDonald, A. J., Moritz, M. A., Plantinga, A. J., Tague, C. L., & Wibbenmeyer, M. (2018). The dangers of disaster-driven responses to climate change. Nature Climate Change, 8(8), 651–653.
- Atreya, A., Ferreira, S., & Kriesel, W. (2013). Forgetting the flood? an analysis of the flood risk discount over time. Land Economics, 89(4), 577–596.
- Billings, S. B., Gallagher, E. A., & Ricketts, L. (2022). Let the rich be flooded: the distribution of financial aid and distress after hurricane harvey. Journal of Financial Economics, 146(2), 797–819.
- Bin, O., & Landry, C. E. (2013). Changes in implicit flood risk premiums: Empirical evidence from the housing market. Journal of Environmental Economics and Management, 65(3), 361–376.
- Borsky, S., & Hennighausen, H. (2022). Public flood risk mitigation and the homeowner's insurance demand response. Land Economics, 98(4), 537–559.
- Boustan, L. P., Kahn, M. E., Rhode, P. W., & Yanguas, M. L. (2020). The effect of natural disasters on economic activity in US counties: A century of data. Journal of Urban Economics, 118, 103257.
- Brent, D. A., Ren, Y., & Wrenn, D. H. (2024). The distributional impact of fema's community rating system. Agricultural and Resource Economics Review, 53(1), 87–118.
- Brody, S. D., Kang, J. E., & Bernhardt, S. (2010). Identifying factors influencing flood mitigation at the local level in texas and florida: the role of organizational capacity. Natural Hazards, 52, 167–184.
- Brody, S. D., Zahran, S., Maghelal, P., Grover, H., & Highfield, W. E. (2007). The rising costs of floods: examining the impact of planning and development decisions on property damage in florida. Journal of the American Planning Association, 73(3), 330–345.
- Burton, C. G. (2015). A validation of metrics for community resilience to natural hazards and disasters using the recovery from hurricane katrina as a case study. Annals of the Association of American Geographers, 105(1), 67–86.
- Butler, W., Holmes, T., & Lange, Z. (2021). Mandated planning for climate change: Responding to the peril of flood act for sea level rise adaptation in florida. Journal of the American Planning Association, 87(3), 370–382.
- Collier, B., & Ellis, C. (2024). A demand curve for disaster recovery loans. Econometrica, 92(3), 713–748.
10.3982/ECTA20417 Google Scholar
- Collier, B. L., & Babich, V. O. (2019). Financing recovery after disasters: Explaining community credit market responses to severe events. Journal of Risk and Insurance, 86(2), 479–520.
- Collier, B. L., Haughwout, A. F., Kunreuther, H. C., & Michel-Kerjan, E. O. (2020). Firms' management of infrequent shocks. Journal of Money, Credit and Banking, 52(6), 1329–1359.
- Dahl, K., Cleetus, R., Spanger-Siegfried, E., Udvardy, S., Caldas, A., & Worth, P. (2018). Underwater: Rising seas, chronic floods, and the implications for US coastal real estate. Union of Concerned Scientists. Online at https://www.ucsusa.org/sites/default/files/attach/2018/06/underwater-analysis-full-report.pdf
- Davlasheridze, M., Fisher-Vanden, K., & Klaiber, H. A. (2017). The effects of adaptation measures on hurricane induced property losses: Which fema investments have the highest returns? Journal of Environmental Economics and Management, 81, 93–114.
- Deryugina, T. (2017). The fiscal cost of hurricanes: Disaster aid versus social insurance. American economic Journal: Economic Policy, 9(3), 168–198.
- Dube, A., Girardi, D., Jorda, O., & Taylor, A. M. (2023). A local projections approach to difference-in-differences event studies. Technical report, National Bureau of Economic Research.
- Dumm, R. E., Eckles, D. L., Nyce, C., & Volkman-Wise, J. (2020). The representative heuristic and catastrophe-related risk behaviors. Journal of Risk and Uncertainty, 60, 157–185.
- Emrich, C. T., Aksha, S. K., & Zhou, Y. (2022). Assessing distributive inequities in fema's disaster recovery assistance fund allocation. International Journal of Disaster Risk Reduction, 74, 102855.
- Fan, Q., & Davlasheridze, M. (2016). Flood risk, flood mitigation, and location choice: Evaluating the National flood insurance program's community rating system. Risk Analysis, 36(6), 1125–1147.
- FEMA (2021). Community rating system overview and participation. https://www.fema.gov/fact-sheet/community-rating-system-overview-and-participation. Accessed: April 9, 2024.
- French, K., Kousky, C., Donoghoe, M., & Martin, C. (2023). As disasters become more costly, the us needs a better way to distribute the burden. Technical report, Brookings Institution.
- Frimpong, E., Petrolia, D. R., Harri, A., & Cartwright, J. H. (2020). Flood insurance and claims: The impact of the community rating system. Applied Economic Perspectives and Policy, 42(2), 245–262.
- Gallagher, J. (2014). Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American economic Journal: Applied Economics, 6(3), 206–233.
- Gallagher, J., & Hartley, D. A. (2024). Natural disasters, local bank market share, and economic recovery. Technical report, FRB of Chicago Working Paper.
- Ge, S., Lam, A., & Lewis, R. (2022). The effect of insurance premiums on the housing market and climate risk pricing. Available at SSRN.
- Gourevitch, J. D., Kousky, C., Liao, Y., Nolte, C., Pollack, A. B., Porter, J. R., & Weill, J. A. (2023). Unpriced climate risk and the potential consequences of overvaluation in US housing markets. Nature Climate Change, 13(3), 250–257.
- Gourevitch, J. D., & Pinter, N. (2023). Federal incentives for community-level climate adaptation: An evaluation of fema's community rating system. Environmental Research Letters, 18(3), 034037.
- Highfield, W. E., & Brody, S. D. (2017). Determining the effects of the fema community rating system program on flood losses in the United States. International Journal of Disaster Risk Reduction, 21, 396–404.
- Highfield, W. E., Brody, S. D., & Blessing, R. (2014). Measuring the impact of mitigation activities on flood loss reduction at the parcel level: the case of the clear creek watershed on the upper texas coast. Natural Hazards, 74, 687–704.
- Hino, M., BenDor, T. K., Branham, J., Kaza, N., Sebastian, A., & Sweeney, S. (2024). Growing safely or building risk? floodplain management in north carolina. Journal of the American Planning Association, 90(1), 50–62.
- Horn, D. P., & Brown, J. T. (2017). Introduction to the national flood insurance program (nfip).Congressional Research Service
- Jerch, R., Kahn, M. E., & Lin, G. C. (2023). Local public finance dynamics and hurricane shocks. Journal of Urban Economics, 134, 103516.
- Kousky, C. (2017). Disasters as learning experiences or disasters as policy opportunities? examining flood insurance purchases after hurricanes. Risk Analysis, 37(3), 517–530.
- Kousky, C., Kunreuther, H., Lingle, B., & Shabman, L. (2018). The emerging private residential flood insurance market in the United States. Technical report, Wharton Risk Management and Decision Processes Center.
- Kousky, C., & Michel-Kerjan, E. (2017). Examining flood insurance claims in the United States: six key findings. Journal of Risk and Insurance, 84(3), 819–850.
- Kousky, C., & Shabman, L. (2017). Policy nook: “federal funding for flood risk reduction in the US: pre-or post-disaster? Water Economics and Policy, 3(01), 1771001.
- Kunreuther, H. C., & Michel-Kerjan, E. (2010). Financial Management of Large-Scale Catastrophes Chapter 2, pp. 189–212. OECD Publishing.
- Lamond, J., & Proverbs, D. (2006). Does the price impact of flooding fade away? Structural Survey, 24(5), 363–377.
10.1108/02630800610711960 Google Scholar
- Landry, C. E., & Li, J. (2012). Participation in the community rating system of nfip: Empirical analysis of north carolina counties. Natural Hazards Review, 13(3), 205–220.
- Li, J., & Landry, C. E. (2018). Flood risk, local hazard mitigation, and the community rating system of The National flood insurance program. Land Economics, 94(2), 175–198.
- Miao, Q., Abrigo, M., Hou, Y., & Liao, Y. (2023). Extreme weather events and local fiscal responses: Evidence from US counties. Economics of Disasters and Climate Change, 7(1), 93–115.
10.1007/s41885-022-00120-y Google Scholar
- Nyce, C., Dumm, R. E., Sirmans, G. S., & Smersh, G. (2015). The capitalization of insurance premiums in house prices. Journal of Risk and Insurance, 82(4), 891–919.
- Paille, M., Reams, M., Argote, J., Lam, N. S.-N., & Kirby, R. (2016). Influences on adaptive planning to reduce flood risks among parishes in south louisiana. Water, 8(2), 57.
- Petkov, I., & Ortega, F. (2025). Learning from experience: Flooding and insurance take-up in the flood zone and its periphery. Journal of Risk and Insurance, 1–45. https://doi.org/10.1111/jori.70002
- Petrolia, D. R., Landry, C. E., & Coble, K. H. (2013). Risk preferences, risk perceptions, and flood insurance. Land Economics, 89(2), 227–245.
- Pew Charitable Trusts (2018). Natural disaster mitigation spending not comprehensively tracked. Technical report, The Pew Charitable Trusts Issue Brief.
- Posey, J. (2009). The determinants of vulnerability and adaptive capacity at the municipal level: Evidence from floodplain management programs in the United States. Global Environmental Change, 19(4), 482–493.
- Rajapaksa, D., Zhu, M., Lee, B., Hoang, V.-N., Wilson, C., & Managi, S. (2017). The impact of flood dynamics on property values. Land Use Policy, 69, 317–325.
- Rentschler, J., Avner, P., Marconcini, M., Su, R., Strano, E., Vousdoukas, M., & Hallegatte, S. (2023). Global evidence of rapid urban growth in flood zones since 1985. Nature, 622(7981), 87–92.
- RIPDWG (2021). Infrastructure resilience for low-capacity communities: Recommendations to reduce barriers and provide support. Technical report, RIPDWG White Paper.
- Roth Tran, B., Wilson, D. J., (2023). The local economic impact of natural disasters. Technical report, Federal Reserve Bank of San Francisco.
- Sadiq, A.-A., & Noonan, D. S. (2015). Flood disaster management policy: An analysis of the United States community ratings system. Journal of Natural Resources Policy Research, 7(1), 5–22.
10.1080/19390459.2014.963373 Google Scholar
- Sadiq, A.-A., Tyler, J., & Noonan, D. (2020). Participation and non-participation in fema's community rating system (crs) program: Insights from crs coordinators and floodplain managers. International Journal of Disaster Risk Reduction, 48, 101574.
- Sadiq, A.-A., Tyler, J., Noonan, D. S., Norton, R. K., Cunniff, S. E., & Czajkowski, J. (2020). Review of the federal emergency management agency's community rating system program. Natural Hazards Review, 21(1), 03119001.
- Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175–199.
- Terpstra, T. (2011). Emotions, trust, and perceived risk: Affective and cognitive routes to flood preparedness behavior. Risk Analysis, 31(10), 1658–1675.
- Visser, H., Petersen, A. C., & Ligtvoet, W. (2014). On the relation between weather-related disaster impacts, vulnerability and climate change. Climatic Change, 125(3), 461–477.
- Waters, L., Best, K., Miao, Q., Davlasheridze, M., & Reilly, A. C. (2024). Under-reported and under-served: Disparities in US disaster federal aid-to-damage ratios after hurricanes. International Journal of Disaster Risk Reduction, 1, 104430.
10.1016/j.ijdrr.2024.104430 Google Scholar
- Wilson, B., Tate, E., & Emrich, C. T. (2021). Flood recovery outcomes and disaster assistance barriers for vulnerable populations. Frontiers in Water, 3, 752307.
- Wing, O. E. J., Lehman, W. P., Bates, P. D., Sampson, C. C., Quinn, N., Smith, A. M., Neal, J. C., Porter, J. R., & Kousky, C. (2022). Inequitable patterns of US flood risk in the anthropocene. Nature Climate Change, 12(2), 156–162.
- Zahran, S., Brody, S. D., Highfield, W. E., & Vedlitz, A. (2010). Non-linear incentives, plan design, and flood mitigation: The case of the federal emergency management agency's community rating system. Journal of Environmental Planning and Management, 53(2), 219–239.