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Vote Buying is a Good Sign!

Authors: Carolien Van Ham; Staffan I. Lindberg;

Vote Buying is a Good Sign!

Abstract

Over 90 percent of the world’s states currently select their national leaders through multi-party elections. However, in Africa the quality of elections still varies widely, ranging from elections plagued by violence and fraud to elections that are relatively “free and fair”. The literature on election fraud and integrity has identified several factors explaining cross-national variation in overall levels of election integrity. Much less is known about trade offs between different strategies of electoral manipulation and the differences between incumbent and opposition actors’ strategies. Existing research suggest that incumbents engage more in vote buying while opposition engage more in election violence. We theorize that choices for specific types of manipulation are driven by available resources and cost considerations for both incumbents and opposition actors, and are mutually responsive. We also suggest that costs of manipulative strategies are shaped by the level of democratization. We test our hypotheses on time-series-cross-section data for 286 African elections from 1986 to 2012. We find that democratization initially leads to increases in vote buying as “cheap” forms of electoral manipulation available to incumbents such as intimidation and manipulating electoral administration become less viable.

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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!
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Average
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