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https://doi.org/10.31235/osf.i...
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Corruption Convictions and Legislative Party Switching

Authors: Radu Andrei Pârvulescu; Maria Popova;

Corruption Convictions and Legislative Party Switching

Abstract

Anticorruption campaigns increasingly involve the criminal prosecution of perpetrators of grand political corruption. While curbing political corruption may be a worthwhile cause it comes with unintended political side-effects, including the destabilization of legislative party systems. Using original datasets on corruption convictions and legislative behavior in Romania’s parliament from 2008 to 2020, we estimate the effects of criminal convictions on legislative party switching. We find that corruption convictions of party leaders and cabinet ministers from one’s party significantly increase the probability of MPs switching to another party. This evidence suggests that anticorruption campaigns are a double-edged sword: criminal convictions of perpetrators of grand corruption may enhance accountability, but they also destabilize party systems by fueling legislative party switching.

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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!
0
Average
Average
Average
hybrid
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