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Party Youth Wings as Forces of Renovation: A Study of Young Women Members’ Efficacy and Ambition

Published online by Cambridge University Press:  03 June 2026

Sofia Ammassari*
Affiliation:
School of Government, Griffith University , Brisbane, Australia
Duncan McDonnell
Affiliation:
School of Government, Griffith University , Brisbane, Australia
Niklas Bolin
Affiliation:
Department of Humanities and Social Science, Mid Sweden University, Sundsvall, Sweden
Annika Werner
Affiliation:
Department of Politics and International Relations, University of Southampton , Southampton, UK
Marco Valbruzzi
Affiliation:
Dipartimento di Scienze Sociali, Università degli Studi di Napoli “Federico II”, Naples, Italy
Carsten Wegscheider
Affiliation:
Institute of Political Science, University of Münster, Münster, Germany
Reinhard Heinisch
Affiliation:
Department of Political Science, University of Salzburg, Salzburg, Austria
Ann-Cathrine Jungar
Affiliation:
School of Social Sciences, Södertörn University, Stockholm, Sweden
*
Corresponding author: Sofia Ammassari; Email: s.ammassari@griffith.edu.au
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Abstract

Party youth wings are a vital pipeline to power, but have been overlooked by gender scholars. We investigate the political socialization that youth wings offer their women members, focusing on gendered trends as regards two key political attitudes. We ask: Do women and men in youth wings differ in their acquisition of personal efficacy and electoral ambition? Using YOUMEM survey data from over 3,100 youth wing members in Australia, Austria, Germany, Italy, Spain and Sweden, we find that women are more likely than men to report increased desire to influence party policy and stand as candidates – the latter especially in center-right youth wings. In addition, the more exposed members are to the youth wing, the larger the gender gaps in the acquisition of efficacy and ambition. Our results suggest that, insofar as women’s political socialization is concerned, youth wings can be forces of renovation within their parties.

Information

Type
Research 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-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the Women, Gender, and Politics Research Section of the American Political Science Association
Figure 0

Table 1. Youth wings surveyedTable 1. long description.

Figure 1

Table 2. Gender differences in reasons for joining the youth wingTable 2. long description.

Figure 2

Figure 1. Variation in personal efficacy and electoral ambition of youth wing members, by gender.Source: Table E2, Appendix E.Figure 1. long description.

Figure 3

Table 3. Generalized ordinal logistic regressions predicting variation in personal efficacy and electoral ambitionTable 3. long description.

Figure 4

Figure 2. Contrast plots of estimated marginal means, by gender and party ideology.Source: Models 3 in Tables E5E6, Appendix E.Note: The contrast estimate shows the difference between women and men in the estimated values from the regression model. Values above zero indicate that women have higher estimated marginal means than men (i.e. women are more likely than men to report positive variation in efficacy/ambition), whereas values below zero mean that men have higher estimated marginal means.Figure 2. long description.

Figure 5

Figure 3. Contrast plots of estimated marginal means, by gender and youth wing activism.Source: Models 2 in Tables E5-E6, Appendix E.Figure 3. long description.

Figure 6

Figure 4. Contrast plots of estimated marginal means, by gender and length of membership.Source: Models 1 in Tables E5E6, Appendix E.Note: To improve the readability of the graph, we plotted a specific set of values for length of membership (0, 5, 10, 15 years). Please note, however, that “length of membership” is a continuous variable.Figure 4. long description.

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