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Preventing Coups d’état

De Bruin, Erica·2020·How to Prevent Coups d'État

Abstract

This chapter discusses how the decision to prioritize coup prevention is a rational one. It explains that the threat of a coup is more immediate and unpredictable than the threat posed by civil war or international conflict. It describes a range of coup-proofing strategies that rulers adopt to hinder military effectiveness, reinforce ethnic and political divides, and drain financial resources. The chapter shows that counterbalancing the military with coercive institutions outside the regular military chain of command increases the risk that coup attempts will fail. It highlights that understanding how counterbalancing works can help predict where coup attempts will occur, whether they will succeed, and how violent they are likely to be. It points out that coups are the most common way dictatorships begin and end, and that even failed coup attempts can have deleterious effects. The chapter also talks about how rulers design their coercive institutions, and discusses how counterweights might help insulate rulers from successful coups, but weakens the state in a number of ways. It then states that the way rulers organize their coercive institutions affects the survival of their regimes. Finally, it discusses how coup plotters begin their efforts to seize power by recruiting potential supporters, and the potential costs to the perpetrators if the coup fails.

Overview

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Registry

Crossref · 10.7591/cornell/9781501751912.003.0001

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Metadata

Authors
De Bruin, E.
Venue
How to Prevent Coups d'État
Published
2020-11-15
Pages
1-12
Cited by
0
References
0
Language
en

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Preventing Coups d’état. https://app.cochat.ai/papers/10.7591/cornell/9781501751912.003.0001
The paper
De Bruin, E. (2020). Preventing Coups d’état. How to Prevent Coups d'État. https://doi.org/10.7591/cornell/9781501751912.003.0001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.