How negative partisanship affects voting behavior in Europe : Evidence from an analysis of 17 European multi-party systems with proportional voting




Faculty/Professorship: Political Sociology  
Author(s): Mayer, Sabrina Jasmin  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 7
Source/Other editions: Research & politics : R&P, 4 (2017), 7 S. - ISSN: 2053-1680
is version of: 10.1177/2053168016686636
Year of first publication: 2017
Language(s): English
Licence: Creative Commons - CC BY-NC-ND - Attribution - NonCommercial - NoDerivatives 4.0 International 
URN: urn:nbn:de:bvb:473-irb-561978
Abstract: 
While positive party identification is one of the most used concepts in election studies, negative partisanship (NPID) is rarely analyzed. Evidence from two-party systems or settings with majority voting shows that hostility towards one of the other parties has its own unique impact on voting behavior. However, this effect has not been analyzed in the context of European multi-party systems with proportional voting. In this paper, I utilize data from the Comparative Study of Electoral Systems, Module 3, which demonstrates that negative partisanship has its own positive effect on turnout (about nine percentage points). In addition, negative partisanship affects vote choice by 2–6 percentage points. However, contrary to previous findings, NPID does not always affect voting for one of the other parties; no significant relationship was found between NPID and vote choice for Conservative/Christian Democratic and Liberal parties. The results of this study add to the growing literature on negative partisanship and demonstrate its importance in the analysis of voting behavior in multi-party systems.
GND Keywords: Europa; Parteiidentifikation; Verhältniswahl; Wahlverhalten
Keywords: Party identification, negative partisanship, multi-party systems, attitudes, hostility, voting behavior
DDC Classification: 320 Political Science  
RVK Classification: MF 3170   
Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/56197
Release Date: 10. November 2022

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