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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Electoral Studiesarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Electoral Studies
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modeling ideological polarization in democratic party systems

Authors: Russell J. Dalton;

Modeling ideological polarization in democratic party systems

Abstract

Abstract There are mounting claims that increasing ideological polarization is reshaping democratic party systems with important effects on the functioning of electoral politics, the correlates of voting choice, turnout, and even the representativeness of government. Yet, our knowledge of what causes party system polarization is still developing. The primary research goal is to systematically combine and test existing theories predicting levels of party system polarization across 21 established democracies. Polarization levels have generally risen since the mid-1990s. A pooled model finds that characteristics of the electoral system and the party system largely determine the continuity of party system polarization. Polarization levels also appear linked to short-term factors such as citizens’ declining confidence in the economy and increasing concerns about immigration. The conclusion discusses the implications for party systems and politics in affluent democracies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
54
Top 1%
Top 10%
Top 1%
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