Flood Risk, Local Hazard Mitigation, and the Community Rating System of the National Flood Insurance Program

Jingyuan Li and Craig Landry

Land Economics, 2018, vol. 94, issue 2, 175-198

Abstract: Using panel data for North Carolina communities, we estimate dynamic regression models of flood mitigation projects as recognized by the Community Rating System (CRS) of the National Flood Insurance Program. We find serial correlation in CRS points, which we interpret as incremental persistence that reflects physical and human capital accumulation. We find greater levels of mitigation in communities with larger tax revenues and lower levels of crime and unemployment, and a weak, but significant, effect due to recent flood experience. Socioeconomic factors also affect hazard mitigation; CRS points are greater in communities with greater median household income and higher population density.

JEL-codes: H44 Q54 (search for similar items in EconPapers)
Date: 2018
Note: DOI: 10.3368/le.94.2.175
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://le.uwpress.org/cgi/reprint/94/2/175
A subscription is required to access pdf files. Pay per article is available.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwp:landec:v:94:y:2018:i:2:p:175-198

Access Statistics for this article

More articles in Land Economics from University of Wisconsin Press
Bibliographic data for series maintained by ().