State Water Resources Research Institute Program
Project ID: 2011GA275B
Title: Flood Risk and Homeowners' Flood Risk Perceptions: Evidence from Property Prices in Georgia
Project Type: Research
Start Date: 3/01/2011
End Date: 2/29/2012
Congressional District: GA-010
Focus Categories: Floods, Economics, Education
Keywords: Floods, Natural Disasters, Climate Change, Hedonic Pricing, Adaptation, Coastal areas, Flood Risk, Flood Maps, Flood Risk Perception, Hurricanes, Tropical Storms, Georgia
Principal Investigator: Ferreira, Susana (University of Georgia)
Federal Funds: $ 20,000
Non-Federal Matching Funds: $ 40,000
The southeastern coastal region in the US is highly susceptible to hydrological disasters. In recent years, it has been hit by numerous hurricanes and tropical storms that have caused substantial monetary and non-monetary damages. For example, in the State of Georgia, Hurricane Frances in 2004 resulted in a loss of 30 percent of the crops, and a death toll of 8.
Storm and flood damages have increased dramatically over time and this trend is expected to continue. This is due, first, to an increase in the frequency and intensity of extreme weather events associated with climate change. A second reason, of special interest to this research, is the concentration of capital and people into flood plains and other high-risk areas, driving up the costs when a flood occurs. This raises important questions: Do homeowners have accurate information about flood risks? Do they understand this information? How does this information translate into their perceived flood risk as reflected into property prices?
We aim to expand the understanding of homeowner's perceptions regarding risks associated with living/buying on the coast, and more generally, on flood-hazard prone areas. We focus on three counties in Georgia: Chatham and Glynn (both coastal), and Fulton (inland but flood-prone). Specific research questions include the following:
We will estimate hedonic pricing models to determine whether/how flood risks are capitalized into property prices. Hedonic property models are widely used in Economics. The price of a property is modeled as a function of structural characteristics (e.g. number of rooms or size of the house), neighborhood characteristics (e.g. school district), location characteristics (e.g. distance to parks), and an environmental variable of interest, in this case flood risk.
The analysis requires the construction of a unique dataset that matches property prices with key property characteristics including location characteristics relevant to assess flood risks. Geographic Information Systems (GIS) will be used for the merging of data from different sources (e.g. Tax Assessor's Offices, Counties' GIS information portals, FEMA's hazard maps being updated by the Georgia Department of Natural Resources) and to create new variables (such as variables measuring distances, buffer zones,b or elevations).
Progress/Completion Report, 2011, PDF