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Cited by 201

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Separate and Suspicious: Local Social and Political Context and Ethnic Tolerance in Kenya

Kasara, Kimuli·2013·The Journal of Politics

Abstract

Does living in close proximity to members of other ethnic groups make people more or less tolerant of ethnic differences? How does the interaction between local electoral competition and ethnic demography affect tolerance? This article examines these questions by combining survey data with new measures of local ethnic composition and political competition in Kenya. People living in ethnically diverse areas report higher levels of interethnic trust, while residentially segregated people are less trusting of members of other ethnic groups. There is little evidence that local electoral competition decreases tolerance even in ethnically diverse areas. This article has important implications for the study of the political and economic consequences of ethnic diversity and suggests that even in developing countries, where resource conflict, along ethnic lines, is acute and sometimes violent, sharing neighborhoods with members of different ethnic groups may lead to tolerance.

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Metadata

Authors
Kasara, K.
Venue
The Journal of Politics
Published
2013-10
Volume
75
Issue
4
Pages
921-936
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W1995322869
Cited by
201
References
7
FWCI
26.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Separate and Suspicious: Local Social and Political Context and Ethnic Tolerance in Kenya. https://app.cochat.ai/papers/10.1017/s0022381613000777
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Kasara, K. (2013). Separate and Suspicious: Local Social and Political Context and Ethnic Tolerance in Kenya. The Journal of Politics. https://doi.org/10.1017/s0022381613000777

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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.