Identifying Patterns in the Structural Drivers of Intrastate Conflict

被引:1
|
作者
Moyer, Jonathan D. [1 ,2 ]
Matthews, Austin S. [1 ,3 ]
Rafa, Mickey [1 ]
Xiong, Yutang [1 ,4 ]
机构
[1] Univ Denver, Josef Korbel Sch Int Studies, Denver, CO 80208 USA
[2] Atlantic Council, Scowcroft Ctr Strategy & Secur, Washington, DC 20005 USA
[3] East Carolina Univ, Greenville, NC 27858 USA
[4] Univ Denver, Dept Res Methods & Informat Sci, Denver, CO USA
关键词
state failure; quantitative models; clustering analysis; civil conflict; CIVIL CONFLICT; R-PACKAGE; INEQUALITIES; DEMOCRATIZATION; INSURGENCY; ETHNICITY; CONTAGION; CLUSTERS; POLITICS; NUMBER;
D O I
10.1017/S0007123422000229
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
Quantitative methods have been used to: (1) better predict civil conflict onset; and (2) understand causal mechanisms to inform policy intervention and theory. However, an exploration of individual conflict onset cases illustrates great variation in the characteristics describing the outbreak of civil war, suggesting that there is not one single set of factors that lead to intrastate war. In this article, we use descriptive statistics to explore persistent clusters in the drivers of civil war onset, finding evidence that some arrangements of structural drivers cluster robustly across multiple model specifications (such as young, poorly developed states with anocratic regimes). Additionally, we find that approximately one-fifth of onset cases cannot be neatly clustered across models, suggesting that these cases are difficult to predict and multiple methods for understanding civil conflict onset (and state failure more generally) may be necessary.
引用
收藏
页码:749 / 756
页数:8
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