Flood Risk, Local Hazard Mitigation, and the Community Rating System of the National Flood Insurance Program
利用北卡罗来纳州社区的面板数据，研究了国家洪水保险计划社区评级系统认可的减灾项目，发现减灾水平与税收收入、犯罪率、失业率、近期洪水经历及社会经济因素相关。
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.