Publication Date

2022

Document Type

Article

Organizational Units

Josef Korbel School of International Studies, International Studies

Keywords

State failure, Quantitative models, Clustering analysis, Civil conflict

Abstract

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.

Copyright Statement / License for Reuse

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Statement

This article was originally published as:

Moyer, J., Matthews, A., Rafa, M., & Xiong, Y. (2022). Identifying Patterns in the Structural Drivers of Intrastate Conflict. British Journal of Political Science, 1-8. doi:10.1017/S0007123422000229

Copyright is held by the authors. User is responsible for all copyright compliance.

Rights Holder

Jonathan D. Moyer, Austin S. Matthews, Mickey Rafa, Yutang Xiong

Provenance

Received from author

File Format

application/pdf

Language

English (eng)

Extent

8 pgs

File Size

309 KB

Publication Title

British Journal of Political Science

Volume

53

First Page

1

Last Page

8



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