Serious Conflicts with Benign Outcomes? The Electoral Consequences of Conflictual Cabinet Terminations
Florence So
American Political Science Review, 2024, vol. 118, issue 3, 1449-1463
Abstract:
Conflictual cabinet terminations are seismic events in democracies, but their consequences are understudied. I argue that the electoral impacts of conflictual cabinet terminations depend on voters’ perceptions of them. Terminations following non-policy conflicts are electorally costly. They signal parties’ deteriorating governing competence, which reduces parties’ vote shares. In contrast, terminations following policy conflicts signal parties’ unwillingness to compromise their policy positions and clarify parties’ policy profiles, thus allowing them to evade voter punishment and junior coalition parties to reap electoral reward, particularly for those terminations preceded by interparty policy conflicts. Statistical analyses using the Party Government in Europe Database dataset support my argument on policy terminations and reveal more nuanced electoral effects of non-policy conflict terminations. These findings are robust to various alternative explanations, as well as multiple cabinet terminations and time passed from termination to election. The findings have large implications on electoral accountability of intra-cabinet conflicts and the quality of governance.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cup:apsrev:v:118:y:2024:i:3:p:1449-1463_22
Access Statistics for this article
More articles in American Political Science Review from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().