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Cited by 465

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Poverty, minority economic discrimination, and domestic terrorism

Piazza, James A·2011·Journal of Peace Research

Abstract

Recognizing that the empirical literature of the past several years has produced an inconclusive picture, this study revisits the relationship between poverty and terrorism and suggests a new factor to explain patterns of domestic terrorism: minority economic discrimination. Central to this study is the argument that because terrorism is not a mass phenomenon but rather is undertaken by politically marginal actors with often narrow constituencies, the economic status of subnational groups is a crucial potential predictor of attacks. Using data from the Minorities at Risk project, I determine that countries featuring minority group economic discrimination are significantly more likely to experience domestic terrorist attacks, whereas countries lacking minority groups or whose minorities do not face discrimination are significantly less likely to experience terrorism. I also find minority economic discrimination to be a strong and substantive predictor of domestic terrorism vis-à-vis the general level of economic development. I conclude with a discussion of the implications of the findings for scholarship on terrorism and for counter-terrorism policy.

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Metadata

Authors
Piazza, J. A.
Venue
Journal of Peace Research
Published
2011-03-28
Volume
48
Issue
3
Pages
339-353
ISSN
  • 0022-3433 (ISSN-L)
  • 1460-3578
OpenAlex
W2168649676
Cited by
465
References
61
FWCI
79.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Poverty, minority economic discrimination, and domestic terrorism. https://app.cochat.ai/papers/10.1177/0022343310397404
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Piazza, J. A. (2011). Poverty, minority economic discrimination, and domestic terrorism. Journal of Peace Research. https://doi.org/10.1177/0022343310397404

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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.