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Political socialization and immigrants’ support for progressive politics: the case of green parties

Published online by Cambridge University Press:  05 March 2026

Korinna O. Lindemann*
Affiliation:
Mannheim Centre for European Social Research (MZES), University of Mannheim, Mannheim, Germany
António Valentim
Affiliation:
European Institute, London School of Economics and Political Science, London, UK
*
Corresponding author: Korinna O. Lindemann; Email: korinna.lindemann@uni-mannheim.de
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Abstract

Progressive parties often advocate pro-immigration policies but do not attract equal support from all immigrant groups. Why is this the case? This study examines immigrants’ support for green parties, a key progressive party family in Western Europe. Our findings reveal that immigrants from established democracies are more likely to support green parties compared to those from (post-)authoritarian regimes. We attribute this disparity to socialization: Individuals from established democracies, where post-materialist values and environmental politics are more prominent, are more attuned to green issues. This heightened salience influences their political preferences after migration. Using entropy balancing on cross-national European surveys, we document this green support gap and provide evidence for our proposed mechanism. These results inform debates on how political preferences travel across contexts and the socialization effects of political institutions.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of EPS Academic Ltd
Figure 0

Figure 1. The plot displays average position on multiculturalism issues by party family. We use data from the Manifesto Project (Lehmann et al., 2024), and follow Abou-Chadi (2016)’s measure of positions on multiculturalism, where “higher levels represent restrictive policies toward citizenship acquisition and immigration in an election” (p. 425). Countries (and elections) are Austria (2019), Belgium (2019), Denmark (2019), Finland (2019), France (2017), Germany (2021), Iceland (2021), Ireland (2020), Netherlands (2021), Norway (2017), Sweden (2022), Switzerland (2019), and United Kingdom (2019). The group of green parties is what the Manifesto Project refers to as ecological parties.

Figure 1

Figure 2. Differences in proportion of green party identification when comparing first-generation immigrants regardless of immigration age from established democracies and immigrants from (post-)authoritarian regimes across Western and Northern European countries based on ESS round 5-11 (European Social Survey European Research Infrastructure (ESS ERIC), 2017; 2018a; 2018b;2020; 2021; 2023a; 2023c;2024). Red depicts the share of immigrants from (post-)authoritarian regimes identifying with the greens, and blue depicts immigrants from established democracies identifying with the greens in the corresponding country (born after 1945). Host country differences between immigrant groups are depicted if there are at least 30 observations in each group.

Figure 2

Figure 3. Panel A: Effect of coming from an established democratic vs. (post-)authoritarian country on green party identification. Panel B: Effect of coming from an established or (post-)authoritarian regime compared to non-immigrants (i.e., born in the host country) on green party identification (full models only). Standard errors clustered at country of origin level, for analysis of established democratic immigrants vs. non-immigrants robust standard errors (too few clusters). Unweighted and weighted estimates shown. 95% (thin bars) and 90% (thick bars) confidence intervals depicted.

Figure 3

Figure 4. Panel A: Effect of green party identification by length in origin country. Panel B: Effect of green party identification by length in host country. Standard errors clustered at country of origin level (full models). 95% (thin bars) and 90% (thick bars) confidence intervals depicted.

Figure 4

Figure 5. The plot displays country average percentage of people who choose each of the response options in Leiserowitz et al. (2022), as well as the confidence intervals. We restrict the sample to countries that appear both in Leiserowitz et al. (2022)’s survey and as origin countries in our full ESS sample. Countries are classified using the Regimes of the World indicator (Lührmann et al., 2018; Coppedge et al., 2024a). Complete list of countries can be found in Appendix A.5.

Figure 5

Figure 6. Salience of climate change and environment by regime type (UN speeches, Jankin et al. (2017)). Terms are: “climate,” “global warming,” “pollution,” “solar,” “wind power,” “environment,” “wind energy,” “wind power,” “wind installation,” “renewable,” “electricity,” “eco,” “re powering,” “emission,” “photovoltaic,” “heat,” “fuel,” “shore,” “coal,” “warming,” “hydropower,” “hydroelectric,” “geothermal,” “power plant,” “turbine,” “nuclear power,” “nuclear energy”.

Figure 6

Figure 7. Effect of coming from an established democratic vs. (post-)authoritarian country on attitudes toward climate change in standard deviation units. Standard errors clustered at country of origin level. Unweighted and weighted estimates shown. 95% (thin bars) and 90% (thick bars) confidence intervals depicted.

Figure 7

Figure 8. Effect of coming from an established democratic vs. (post-)authoritarian country on attitudes different policy issues in standard deviation units. Standard errors clustered at country of origin level. Unweighted and weighted estimates shown. 95% (thin bars) and 90% (thick bars) confidence intervals depicted.

Figure 8

Table 1. Predictors of green party identification. Robust standard errors instead of country of birth clustered standard errors for models including immigrants from democratic regimes only due to too few clusters present. Full model controls include also subjective household income, education years, citizenship, and immigration year in this analysis

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