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Turnout at local elections

Authors: ACKAERT, Johan; Wauters, Bram; Verlet, Dries;

Turnout at local elections

Abstract

Although compulsory voting constitutes one of the main characteristics of the Belgian electoral system, the last general election results pointed out that nearly 11 pct. of the registered voters did not show up at the ballot station and that nearly 6 pct. of the voters casted a blanc or invalid vote. Most of the recent research on electoral participation focuses on the importance of individual (social-demographic and social-psychological) variables and political attitudes to explain turnout. Less attention is paid to the influence of the broader social, cultural, institutional and political context variables on turnout. Yet, local elections allow researchers to analyse electoral participation taking particular local political, social, cultural and institutional factors into account. To explain turnout at the local level, this paper examines the relevance of: 1. Social demographic variables: size, age-structure, SES-distribution, ethnic-cultural diversity; 2. Social capital variables: number of volunteer organisations; 3. Political variables: number of parties, fractionalisation, type of majority, presence and importance of anti-system parties; 4. Electoral technology: use of electronic voting. This types of variables will be used to analyse variation of electoral absenteeism as well as blanc/invalid voting in recent local elections in Flanders.

Country
Belgium
Related Organizations
Keywords

turnout, electoral absenteeism, local elections

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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
Green