An Insider–Outsider Theory of Popular Tolerance for Corrupt Politicians
Bibliographic Data
| ID | 6264643 |
|---|---|
| Authors | Eric C C Chang (0000-0002-2610-2422, Michigan State University), Nicholas Kerr (0000-0002-4497-7214, University of Alabama), Nicholas N Kerr (University of Alabama) |
| Year | 2017 |
| Volume | 30 |
| Issue | 1 |
| Pages | 67-84 |
| Publication date | 2017-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Governance (JOURNAL) |
| Journal identifiers | ISSN: 0952-1895 • E-ISSN: 1468-0491 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/gove.12193 |
| OpenAlex | W2284490847 |
| Language | EN |
| Citations received | 53 |
| References cited | 44 |
This article addresses the puzzle of electoral support for corrupt politicians in emerging democracies by examining citizens’ varying attitudes toward political corruption. We make an important theoretical distinction between perceptions of and tolerance for corruption, and argue that these different attitudes vary across individuals depending on whether they are political insiders or outsiders. We test our theory using Afrobarometer survey data from 18 sub‐Saharan African countries and find that individuals included within clientelistic networks simultaneously perceive corruption as ubiquitous and are more tolerant of malfeasance. Meanwhile, those individuals with partisan or ethnic ties to the incumbent are less likely to consider corruption as widespread. Finally, we explore whether variation in attitudes toward corruption influences citizens’ voting behavior, and find that insiders are less likely to “vote the rascals out
Economics · Ethnic group · Insider · Language change · Perception · Political economy · Political science · Politics · Voting · Voting behavior · Corruption and Economic Development · Culture, Economy, and Development Studies · Law · Political Conflict and Governance · Psychology
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| Unique citing works | 53 |
|---|---|
| Citations per year | 5,3 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 52 |