Department of Sociology and Criminal Justice, University of Delaware, Newark, DE 19716, United Sates.
Disasters. 2011 Jan;35(1):102-29. doi: 10.1111/j.1467-7717.2010.01195.x. Epub 2010 Aug 16.
The occurrence of a number of large-scale disasters or catastrophes in recent years, including the Indian Ocean tsunami (2004), the Kashmir earthquake (2005), Hurricane Katrina (2005) and Hurricane Ike (2008), have raised our awareness regarding the devastating effects of disasters on human populations and the importance of developing mitigation and preparedness strategies to limit the consequences of such events. However, there is still a dearth of social science research focusing on the socio-economic impact of disasters on businesses in the United States. This paper contributes to this research literature by focusing on the impact of disasters on business closure and relocation through the use of multivariate logistic regression models, specifically focusing on the Loma Prieta earthquake (1989) and Hurricane Andrew (1992). Using a multivariate model, we examine how physical damage to the infrastructure, lifeline disruption and business characteristics, among others, impact business closure and relocation following major disasters.
近年来，发生了许多大规模灾害或灾难，包括印度洋海啸（2004 年）、克什米尔地震（2005 年）、卡特里娜飓风（2005 年）和艾克飓风（2008 年），这使我们意识到灾害对人类的破坏性影响，以及制定缓解和备灾策略以限制此类事件后果的重要性。然而，关于灾害对美国企业的社会经济影响的社会科学研究仍然不足。本文通过使用多元逻辑回归模型，特别关注洛马普列塔地震（1989 年）和安德鲁飓风（1992 年），关注灾害对企业关闭和搬迁的影响，为这一研究文献做出了贡献。我们使用多元模型，研究了基础设施的物理损坏、生命线中断以及企业特征等因素如何在重大灾害后影响企业的关闭和搬迁。
