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Gendered views on immigration policy stances? The case of Japan

Published online by Cambridge University Press:  04 September 2025

Melanie Sayuri Sonntag
Affiliation:
Center for Social Policy, The University of New Mexico, Albuquerque, NM, USA
Michael Strausz
Affiliation:
Department of Political Science, Texas Christian University, Fort Worth, TX, USA
Yuki Shiraito*
Affiliation:
Department of Political Science, University of Michigan, Ann Arbor, MI, USA
*
Corresponding author: Yuki Shiraito; Email: shiraito@umich.edu
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Abstract

Studies in political science have revealed that voters evaluate candidates’ policy platforms based on gendered views, where women are expected to handle issues such as education well, while men are perceived to be better at issues such as national security. However, the extent to which voters’ views are gendered on immigration policy is less known, as existing theories offer varying interpretations of whether this issue is more aligned with the feminine or masculine stereotype. This paper empirically examines gendered evaluations of immigration policy platforms by conducting a survey experiment in Japan. Our experimental vignette presents a hypothetical candidate who is affiliated with a traditionally anti-immigration party but supports expanding immigration. We manipulate the gender of the candidate and the gendered framing of the position, and examine their interaction effects on attitudes to the candidate. Our experimental results show that the respondents do not evaluate the candidate based on gender and its interaction with the framing of the policy, suggesting that gender bias in voter evaluations may not be as severe as the literature expects in the immigration policy area.

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 licence (https://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), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Democracy and Women in Legislatures, 2022. Democracy data are from the V-Dem dataset released in March 2023 at https://v-dem.net/data/the-v-dem-dataset/, and women in legislature data are from (Inter-Parliamentary Union, 2022). Dots represent countries, and ‘JPN’ shows it is the percent of women in the House of Representative ($9.9$%) and Liberal Democracy Index ($.74$).

Figure 1

Table 1. Vignette that respondents were shown. They were either shown the labour treatment with either a male or female politician or they were shown the humanitarian treatment with either a male or female politician

Figure 2

Figure 2. Estimated Average Treatment Effects on the Competence and Effectiveness Outcome Variables (Hypotheses 1a-d), Uncorrected (filled symbols) and Corrected (symbols with crosses) for Multiple Hypothesis Testing.

Figure 3

Figure 3. Power Analysis for the Estimated Average Treatment Effects on the Competence and Effectiveness Outcome Variables Shown in Figure 2. Vertical dashed lines represent the estimated effect sizes.

Figure 4

Figure 4. Estimated Treatment Effects Conditional on the Gender Stereotype, Xenophobia, and Ethno-nationalism Scores. Filled symbols represent the estimated effects for those above the median of the respective score, while open symbols represent the estimated effects for those below the median.

Figure 5

Figure 5. Estimated Average Treatment Effects on the Compassion Outcome Variable (Hypotheses 3a-b).

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