The local geography of transnational terrorism
CONFLICT MANAGEMENT AND PEACE SCIENCE(2020)
摘要
Why are some locations more attractive targets for transnational terrorism than others? Remarkably little is known about the local-level conditions and attributes that determine precisely where transnational terror attacks occur within targeted countries. To date, quantitative terrorism research identifies country- or region-level correlates of terrorism, neglecting possible local factors. In this study, we posit five local-level factors that increase the likelihood of a terror attack: security of a target, accessibility, symbolism, material harm, and exclusion. Using a variety of estimation strategies, including multilevel, negative binomial, and propensity score matching models, we regress new sub-national geographically coded transnational terrorism data on various sub-national measures that might theoretically increase the likelihood of a terror attack. The results demonstrate that although country- and region-level factors matter, numerous local-level conditions, including where civil violence occurs, sub-national economic activity, and proximity to capitals and urban areas, are equally, if not more, important. The results help to substantiate the analytical benefits of adopting the sub-national level of analysis in the study of transnational terrorism.
更多查看译文
关键词
Geocoding,matching,multilevel modeling,transnational terrorism
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要