Community sentiment following the Deepwater Horizon oil spill disaster: A test of time, systemic community, and corrosive community models
Community sentiment following the Deepwater Horizon oil spill disaster: A test of time, systemic community, and corrosive community models
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DOI：
10.1016/j.jrurstud.2019.12.019
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发表时间：
2020-02-01
影响因子：
5.1
通讯作者：
Parks, Vanessa
中科院分区：
文献类型：
--
作者：
Cope, Michael R.;Slack, Tim;Parks, Vanessa
在社会科学奖学金对灾害的一个基本问题是理解社区的影响和恢复作为一个社会过程。本研究探讨了2010年BP深水地平线石油泄漏（DHOS）后的社区情绪，包括时间的影响和两个主要的理论视角的解释效用-系统性社区模型和腐蚀性社区模型-在预测社区情绪的背景下，这场灾难。具体来说，我们的目标是评估社区情绪在DHOS之后：1）随着时间的推移而变化; 2）与系统性模型相关; 3）与腐蚀性模型相关。为了实现这些目标，我们分析了2010年至2013年期间收集的四波数据，这些数据来自一个独特的重复横断面家庭调查数据-路易斯安那州社区漏油调查（COSS）。我们的研究结果表明，1）考虑到其他因素，社区情绪社区情绪在较晚的时间段比2010年显着更大，2）在DHOS之后，系统性和腐蚀性的社区框架用于理解社区情绪的同时和互补的效用。
A fundamental concern in the social science scholarship on disasters is understanding community impacts and recovery as a social process. This study examines community sentiment in the aftermath 2010 BP Deepwater Horizon oil spill (DHOS), including the influence of time and the explanatory utility of two major theoretical perspectives-the systemic community model and the corrosive community model-in predicting community sentiment in the context of this disaster. Specifically, our objectives are to assess how community sentiment in the wake of the DHOS: 1) changes over time; 2) is related to the systemic model; and 3) is related to the corrosive model. To meet these objectives, we analyze four waves of data from a unique repeated cross-sectional household survey data-the Louisiana Community Oil Spill Survey (COSS)-collected between 2010 and 2013. Our results demonstrate that 1) accounting for other factors, community sentiment community sentiment was significantly greater in later time periods compared to 2010, and 2) the simultaneous and complimentary utility of the systemic and corrosive community frameworks for understanding community sentiment in the wake of the DHOS.