More Like this

1. Heading for the Hills? Effects of Community Flood Management on Local Adaptation to Flood Risks: Management and Adaptation to Flood Risks

   https://doi.org/10.1002/soej.12340  

   Noonan, Douglas S.; Liu, Xian (January 2019, Southern Economic Journal)

   The Community Rating System (CRS) program was implemented by the U.S. Federal Emergency Management Agency (FEMA) in 1990 as an optional program to encourage communities to voluntarily engage in flood mitigation initiatives. This article uses national census tract-level data from 1980 to 2010 to estimate whether CRS participation and flood risk affect a community's local patterns of population change. We employ an instrumental-variables strategy to address the potential endogeneity of CRS participation, based on community-scale demographic factors that predict when a tract’s host community joins the CRS. The results find significant effects of the CRS program and flood risk on population change. Taken together, the findings point to greater propensity for community-scale flood management in areas with more newcomers and programs such as CRS stabilizing population, though not especially in flood- prone areas. We observe the CRS neither displacing population toward lower-risk areas nor attracting more people to flood-prone areas. 

   more » « less
2. Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality

   https://doi.org/10.1111/risa.12853  

   Noonan, Douglas S.; Sadiq, Abdul‐Akeem A. (June 2017, Risk Analysis)

   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. 

   more » « less
3. Unpriced climate risk and the potential consequences of overvaluation in US housing markets

   https://doi.org/10.1038/s41558-023-01594-8  

   Gourevitch, Jesse D.; Kousky, Carolyn; Liao, Yanjun; Nolte, Christoph; Pollack, Adam B.; Porter, Jeremy R.; Weill, Joakim A. (February 2023, Nature Climate Change)

   Abstract Climate change impacts threaten the stability of the US housing market. In response to growing concerns that increasing costs of flooding are not fully captured in property values, we quantify the magnitude of unpriced flood risk in the housing market by comparing the empirical and economically efficient prices for properties at risk. We find that residential properties exposed to flood risk are overvalued by US$121–US$237 billion, depending on the discount rate. In general, highly overvalued properties are concentrated in counties along the coast with no flood risk disclosure laws and where there is less concern about climate change. Low-income households are at greater risk of losing home equity from price deflation, and municipalities that are heavily reliant on property taxes for revenue are vulnerable to budgetary shortfalls. The consequences of these financial risks will depend on policy choices that influence who bears the costs of climate change. 

   more » « less
4. Community-scale Flood Risk Management: Effects of a Voluntary National Program on Migration and Development.

   Noonan, D. S.; Sadiq, A. A. (March 2019, Ecological economics)

   Floods remain the most destructive natural hazard worldwide. Understanding and improving flood management at the community scale (i.e., levels larger than the individual or household, but smaller than regions, states, or nations) is important in order to reduce communities’ vulnerability to floods. The growing literature examining flood management at the community scale has not emphasized analysis of the impacts of a flood-risk management policy on migration and development. We contribute new evidence on the impact of the Community Ratings System (CRS), a community scale federal program, on migration and development in the United States. The CRS program was created in 1990 to enable communities to voluntarily reduce flood risks, and in return, receive discounted flood insurance premiums. Using panel data (1970–2010), the study estimates fixed-effects regressions with robust standard errors clustered by group. The results indicate that the CRS discourages new construction and the construction of mobile homes or trailers in participating communities. Also, the CRS discourages population growth, but encourages people to stay in CRS participating communities. The study will benefit both academics and practitioners by helping to illuminate the impact of the CRS on migration and development, and improve our understanding of community-scale flood risk management. 

   more » « less
5. A Flood Damage Allowance Framework for Coastal Protection With Deep Uncertainty in Sea Level Rise

   https://doi.org/10.1029/2019EF001340  

   Rasmussen, D. J.; Buchanan, Maya K.; Kopp, Robert E.; Oppenheimer, Michael (March 2020, Earth's Future)

   Abstract Deep uncertainty describes situations when there is either ignorance or disagreement over (1) models used to describe key system processes and (2) probability distributions used to characterize the uncertainty of key variables and parameters. Future projections of Antarctic ice sheet (AIS) mass loss remain characterized by deep uncertainty. This complicates decisions on long‐lived coastal protection projects when determining what margin of safety to implement. If the chosen margin of safety does not properly account for uncertainties in sea level rise, the effectiveness of flood protection could decrease over time, potentially putting lives and properties at a greater risk. To address this issue, we develop a flood damage allowance framework for calculating the height of a flood protection strategy needed to ensure that a given level of financial risk is maintained. The damage allowance framework considers decision maker preferences such as planning horizons, protection strategies, and subjective views of AIS stability. We use Manhattan—with the population and built environment fixed in time—to illustrate how our framework could be used to calculate a range of damage allowances based on multiple plausible scenarios of AIS melt. Under high greenhouse gas emissions, we find that results are sensitive to the selection of the upper limit of AIS contributions to sea level rise. Design metrics that specify financial risk targets, such as expected flood damage, allow for the calculation of avoided flood damages (i.e., benefits) that can be combined with estimates of construction cost and then integrated into existing financial decision‐making approaches (e.g., benefit‐cost analysis). 

   more » « less