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Cited by 264

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Counting parties and identifying dominant party systems in Africa

Bogaards, Matthijs·2004·European Journal of Political Research

Abstract

By most definitions, the third wave of democratisation has given rise to dominant parties and dominant party systems in Africa. The effective number of parties, the most widely used method to count parties, does not adequately capture this fact. An analysis of 59 election results in 18 sub‐Saharan African countries shows that classifications of party systems on the basis of the effective number of parties are problematic and often flawed. Some of these problems are well known, but the African evidence brings them out with unusual clarity and force. It is found that Sartori's counting rules, party system typology and definition of a dominant party are still the most helpful analytical tools to arrive at an accurate classification of party systems and their dynamics in general, and of dominant party systems in particular.

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Metadata

Authors
Bogaards, M.
Venue
European Journal of Political Research
Published
2004-03
Volume
43
Issue
2
Pages
173-197
ISSN
  • 0304-4130 (ISSN-L)
  • 1475-6765
OpenAlex
W2161962616
Cited by
264
References
46
FWCI
49.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Counting parties and identifying dominant party systems in Africa. https://app.cochat.ai/papers/10.1111/j.1475-6765.2004.00150.x
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Bogaards, M. (2004). Counting parties and identifying dominant party systems in Africa. European Journal of Political Research. https://doi.org/10.1111/j.1475-6765.2004.00150.x

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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.