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Introducing ViNSAR: Dyadic Data on Violent Non-State Actor Rivalry.

Authors :
Conrad, Justin
Greene, Kevin T.
Phillips, Brian J.
Source :
Journal of Conflict Resolution. Oct2024, Vol. 68 Issue 9, p1884-1908. 25p.
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00220027
Volume :
68
Issue :
9
Database :
Academic Search Index
Journal :
Journal of Conflict Resolution
Publication Type :
Academic Journal
Accession number :
180103671
Full Text :
https://doi.org/10.1177/00220027231208708