2021
DOI: 10.1177/07388942211045940
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Arming for conflict, arming for peace? How small arms imports affect intrastate conflict risk

Abstract: Although a prevalent technology of conflict, the impact of small arms imports on the risk of intrastate conflict outbreak has not been examined so far. This article argues that small arms not only enhance general military capabilities, but also contribute to state capacities necessary for conflict prevention. These two mechanisms are incorporated in a formal model of power shifts. The derived hypotheses are tested on 146 countries for the period 1993–2014. Using split-population and penalized fixed-effects log… Show more

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Cited by 5 publications
(2 citation statements)
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References 89 publications
(204 reference statements)
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“…The NISAT data thus provide for SALW what the SIPRI data do for MCW, albeit for a shorter time period and with transfer volumes being expressed in terms of financial instead of military value. That being said, the NISAT data have been used somewhat less commonly to systematically investigate and test the drivers and consequences of the small arms trade, with the only published work we are aware of being Baronchelli et al (2022), Baronchelli and Caruso (2023), Lebacher et al (2021), Mehltretter (2022), and Mehrl and Thurner (2020).…”
Section: Existing Arms Trade Datasetsmentioning
confidence: 99%
“…The NISAT data thus provide for SALW what the SIPRI data do for MCW, albeit for a shorter time period and with transfer volumes being expressed in terms of financial instead of military value. That being said, the NISAT data have been used somewhat less commonly to systematically investigate and test the drivers and consequences of the small arms trade, with the only published work we are aware of being Baronchelli et al (2022), Baronchelli and Caruso (2023), Lebacher et al (2021), Mehltretter (2022), and Mehrl and Thurner (2020).…”
Section: Existing Arms Trade Datasetsmentioning
confidence: 99%
“…Separation commonly occurs in political science, usually when a binary explanatory variable perfectly predicts a binary outcome (e.g., Gustafson 2020;Mehltretter 2022;Owsiak and Vasquez 2021). 1 For example, Barrilleaux and Rainey (2014) find that being a Democrat perfectly predicts a governor supporting Medicaid expansion under the Affordable Care Act.…”
Section: Introductionmentioning
confidence: 99%