Three different constituencies are becoming increasingly common across Western European electorates: mainstream voters, non-voters and populist voters. Despite their distinct behaviours in electoral politics, we have limited empirical knowledge about the characteristics that distinguish these three groups, given the typical underrepresentation of non-voters in surveys and the relative recency of large-scale research on populist voters. To address this gap, we analyse novel survey data from contemporary Germany that oversamples non-voters and includes a sizeable share of both populist radical left and populist radical right party supporters. Two main findings with broader implications stand out. First, populist voters resemble their mainstream counterparts in their expectations about democracy but correspond more closely to non-voters regarding (dis-)satisfaction with democracy. Second, non-voters and populist voters seem to reject mainstream democratic politics in distinct ways, throwing doubt on the (further) mobilization potential of abstainers for populist projects.
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Cédric M Koch is a Research Fellow at the WZB Berlin Social Science Center’s Global Governance Unit and a Doctoral Researcher at the Free University of Berlin and the Berlin Graduate School for Global and Transregional Studies.
Carlos Meléndez is a Postdoctoral Researcher at the Centre for Social Conflict and Cohesion Studies (COES) and Associate Researcher at Instituto de Investigación en Ciencias Sociales – Universidad Diego Portales in Santiago de Chile.
Cristóbal Rovira Kaltwasser is Professor of Political Science at Universidad Diego Portales in Santiago de Chile and Associate Researcher at COES. He is the co-author, with Cas Mudde, of Populism: A Very Short Introduction (Oxford University Press, 2017) as well as the co-editor, with Tim Bale, of Riding the Populist Wave: Europe’s Mainstream Right in Crisis (Cambridge University Press, 2021).
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Context
Table 1: Different types of partisanship for the 2017 election in Germany.
Table 2: Question wording for populist attitude items contained in our index and correspondence to Akkerman et al. scale.
Figure 1: Marginal effects from separate logistic models with alternative aggregation methods of populist attitudes items.
Figure 2: Diagram presented to respondents to measure self-placement of social status.
Table 3: Question wording for nostalgic deprivation item dimensions contained in the survey.
Table 4: Question wording for ideological dimension items contained in the survey.
Table 5: Logistic regression results for non-voters at German 2017 general election.
Table 6: Logistic regression results for populist voters at German 2017 general election.
Table 7: Logistic regression results for mainstream voters at German 2017 general election.
Table 8: Logistic regression results for AfD voters at German 2017 general election.
Table 9: Logistic regression results for Die Linke voters at German 2017 general election.
Figure 7: Marginal effects of baseline participation models and populist attitudes on established vs. niche mainstream voters as well as non-voters and populist voters.
Figure 8: Marginal effects of populist attitudes and ideology on non-voting, mainstream voting, and voting for the populist radical left (Die Linke) or populist radical right (AfD) in Germany in 2017. Note: Baseline model factors included in all models but omitted from this figure.
Figure 9: Distribution of ideological preferences on cultural (upper-left panel), economic (upper-right panel), EU integration (lower-left panel) and immigration (lower-right panel) issues of voters and non-voters in Germany in 2017.
Table 9: Stepwise logistic regression results for non-voters at German 2017 general election.
Table 10: Stepwise logistic regression results for populist voters at German 2017 general election.
Table 11: Stepwise logistic regression results for mainstream voters at German 2017 general election.
Figure 10: Marginal effects on predicted probability of belonging to one of three groups in the German 2017 electorate, full models.
Figure 11: Marginal effects of full multinomial logistic regression models.
Table 12: Multinomial logistic regression results for three groups of voters at German 2017 general election.
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