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Senior citizens and political participation – evidence from a Finnish regional study

Published online by Cambridge University Press:  13 December 2011

MIKAEL NYGÅRD*
Affiliation:
Department of Social Sciences, Åbo Akademi University, Finland.
GUNBORG JAKOBSSON
Affiliation:
Department of Social Sciences, Åbo Akademi University, Finland.
*
Address for correspondence: Mikael Nygård, Department of Social Sciences, Åbo Akademi University, PB 311, 65101 VASA, Finland. E-mail: mikael.nygard@abo.fi
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Abstract

The aim is to analyse political participation among senior citizens in the West-Finnish region Österbotten/Pohjanmaa by using data from the 2005 GERDA (gerontological regional database) survey. The first research question related to patterns of political participation and the extent to which older people in this region engage in voting and non-institutionalised forms of participation. Secondly, the driving forces behind different dimensions of participation were assessed on an individual level by using a modified variant of the civic voluntarism model as suggested by Verba and colleagues. The results show a high propensity to vote among elders in this region, but they also suggest that so-called non-institutionalised participation is likely to become more common in the future. Moreover, even though the results support the so-called resource theory of political participation, the fit of the multivariate models were modest, which necessitates further research in order to understand fully the driving forces behind political participation of older people in this specific region.

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Type
Submitted Articles
Copyright
Copyright © Cambridge University Press 2011
Figure 0

Table 1. The distribution of respondents by variables and age groups (N = 1,788)

Figure 1

Table 2. Participation in different types of political activities among older people in Österbotten/Pohjanmaa by age, gender and language (N = 1,788)

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Table 3. Dimensions of political participation among 65- and 75-year-olds in Österbotten/Pohjanmaa (N = 1,788)

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Table 4. The effect of background variables, socio-economic variables, political integration and social capital on voting activity (logistic regression)

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Table 5. The effect of background variables, socio-economic variables, political integration and social capital on non-voting activity (logistic regression)

Figure 5

Table 6. The effect of background variables, socio-economic variables, political integration and social capital on boycotting (logistic regression)