{"title":"Introducing ViNSAR: Dyadic Data on Violent Non-state Actor Rivalry","authors":"Justin Conrad, Kevin T. Greene, Brian J. Phillips","doi":"10.1177/00220027231208708","DOIUrl":null,"url":null,"abstract":"A growing line of research examines causes and consequences of militant group competition. However, empirical work on these topics has limitations. Most quantitative research uses relatively rough proxies for competition, such as counts of groups in a country. Other work uses dichotomous indicators, ignoring the intensity or degree of rivalries. Additionally, many studies examine either terrorist organizations or rebel groups, overlooking cross-type rivalry (e.g., terrorist vs. rebel). We address these issues by introducing time-varying dyadic rivalry data on hundreds of groups – rebels, terrorists, and pro-government militias – in Africa and Asia, 1990-2015. Rivalry levels include denouncements, threats, and violence. After presenting the data, we test the “outbidding” hypothesis: the notion that inter-organizational competition leads to more terrorism. This argument has found support in qualitative analyses, but quantitative tests using rivalry proxies show mixed results. Using our data we find support for the hypothesis. We conclude with research questions that could be addressed with the data.","PeriodicalId":51363,"journal":{"name":"Journal of Conflict Resolution","volume":"319 3","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Conflict Resolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00220027231208708","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTERNATIONAL RELATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
A growing line of research examines causes and consequences of militant group competition. However, empirical work on these topics has limitations. Most quantitative research uses relatively rough proxies for competition, such as counts of groups in a country. Other work uses dichotomous indicators, ignoring the intensity or degree of rivalries. Additionally, many studies examine either terrorist organizations or rebel groups, overlooking cross-type rivalry (e.g., terrorist vs. rebel). We address these issues by introducing time-varying dyadic rivalry data on hundreds of groups – rebels, terrorists, and pro-government militias – in Africa and Asia, 1990-2015. Rivalry levels include denouncements, threats, and violence. After presenting the data, we test the “outbidding” hypothesis: the notion that inter-organizational competition leads to more terrorism. This argument has found support in qualitative analyses, but quantitative tests using rivalry proxies show mixed results. Using our data we find support for the hypothesis. We conclude with research questions that could be addressed with the data.
期刊介绍:
The Journal of Conflict Resolution is an interdisciplinary journal of social scientific theory and research on human conflict. It focuses especially on international conflict, but its pages are open to a variety of contributions about intergroup conflict, as well as between nations, that may help in understanding problems of war and peace. Reports about innovative applications, as well as basic research, are welcomed, especially when the results are of interest to scholars in several disciplines.