SGER Collection of Economic Impact Data: Implications for Disaster Areas and Receiving Regions

这项研究将考察卡特里娜飓风对直接受到飓风袭击的大都市地区和作为他离开新奥尔良的数千名疏散人员的收容地区和墨西哥湾沿岸地区的经济影响。初步估计，卡特里娜飓风可能是美国历史上损失最大的风暴。100多万墨西哥湾沿岸居民因风暴而流离失所。这项研究将侧重于收集和分析短暂的、时间敏感的数据。对撤离者的调查将在密苏里州的湾港/长滩和德克萨斯州的卢伯克进行。将从每个地点约400名疏散人员中收集经济、社会、心理和经验数据。这项研究将集中于三个主要的经济问题：1)失去的就业机会，复苏努力创造的新就业机会和持续的就业机会；2)企业经营给当地经济带来的增值(以美元为单位)(包括家庭收入、消费税和销售税、自雇收入、财产收入，如租金等)；3)在当地经济中损失的总产出(以项圈为单位)。这项研究探讨了以前鲜有研究的主题。通过考察受灾者和收容社区的经济影响，将对灾害的经济影响有更全面的了解。这项研究具有强大的教育影响，因为东卡罗来纳大学和德克萨斯理工大学的研究生都将参与数据收集和分析。

ABSTRACTThis research will examine the economic impact of Hurricane Katrina upon both the metropolitan regions that were directly struck by the hurricane and the metropolitan regions that served as host regions for the thousands of evacuees he left New Orleans and the Gulf Coast region. Initial estimates indicate that Katrina will likely be the costliest storm in United States history. More than a million Gulf coast residents were displaced by the storm. The research will focus upon the collection and analysis of ephemeral, time-sensitive data. Surveys of evacuees will be conducted in Gulfport/Long Beach, MS and Lubbock, TX. Economic, social, psychological and experiential data will be collected from a sample of approximately 400 evacuees at each site. The study will focus upon three primary economic issues: 1) the number of jobs lost, new jobs created from recovery efforts and job sustained; 2) value-added (in dollars) to the local economy from enterprise operations (including household income, excise and sales taxes, self-employed income, property income such as rents, etc.); 3) total output (in collars) lost in the local economy.This research examines the topic where little previous research has been done. By looking at the economic impacts on both the destroyed and the host communities, a more complete understanding of economic impacts of disasters will be obtained. There is a strong educational impact of the research, as graduate students from both East Carolina University and Texas Tech University will be involved in data collection and analysis.