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

摘要本研究将考察卡特里娜飓风对直接遭受飓风袭击的大都市地区以及作为数千名撤离者的收容地区的大都市地区和墨西哥湾沿岸地区的经济影响。初步估计表明，卡特里娜飓风可能是美国历史上造成损失最大的风暴。超过100万墨西哥湾沿岸居民因风暴而流离失所。这项研究将集中于收集和分析短暂的、对时间敏感的数据。撤离人员的调查将在MS的Gulfport/Long Beach和德克萨斯州的Lubbock进行。将从每个地点约400名撤离人员的样本中收集经济、社会、心理和经验数据。这项研究将集中在三个主要的经济问题上：1)失去的工作岗位数量、复苏努力创造的新工作岗位数量和工作岗位的可持续性；2)企业经营给当地经济带来的增值（包括家庭收入、消费税和销售税、个体户收入、租金等财产性收入等）；3)当地经济损失的总产出（以衣领计）。这项研究考察了以前很少研究的主题。通过考察灾害对受灾社区和东道社区的经济影响，可以更全面地了解灾害的经济影响。这项研究具有很强的教育影响，因为来自东卡罗莱纳大学和德克萨斯理工大学的研究生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.