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Colorful Community or Ethnic Witches' Brew?: Multiethnicity and Domestic Conflict during and after the Cold War
Abstract
This article investigates the relationship between multiethnicity and domestic conflict from 1946 to 1992. Multiethnicity is measured by the size of the largest ethnic group, the number of ethnic groups, the size of the largest ethnic minority group, and ethnic affinities to groups outside the country. Although ethnic heterogeneity is expected to stimulate conflict, other factors may alleviate ethnic tension. Moreover, most countries are heterogeneous in one way or another and yet do not engage in violent conflict. The type of political regime and the socioeconomic level within the country become important here. Using data for two different types of domestic conflict, the article concludes that multiethnicity does increase the propensity of domestic violence, although less so for large-scale conflicts. Such cultural factors seem to have become more important in the post-cold war period. However, the country's political regime and socioeconomic level are more important in predicting domestic conflict.
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Toward a Democratic Civil Peace? Democracy, Political Change, and Civil War, 1816–1992
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Ethnic Politics and Armed Conflict: A Configurational Analysis of a New Global Data Set
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Inequality, Grievances, and Civil War
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KALYVAS, S. N., & BALCELLS, L. (2010) · American Political Science Review · doi:10.1017/s0003055410000286 · Cited by 858
Polarization, Horizontal Inequalities and Violent Civil Conflict
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Metadata
- Authors
- Ellingsen, T.
- Venue
- Journal of Conflict Resolution
- Publisher
- SAGE Publications
- Published
- 2000-04
- Volume
- 44
- Issue
- 2
- Pages
- 228-249
- ISSN
- 0022-0027 (ISSN-L)
- 1552-8766
- OpenAlex
- W2087204809
- Cited by
- 434
- References
- 56
- FWCI
- 60.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
