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The clash of traditional values: opposition to female monarchs

Published online by Cambridge University Press:  27 September 2022

Guoer Liu*
Affiliation:
Ph.D. Candidate, Department of Political Science, University of Michigan, Ann Arbor, MI, USA
Kenneth Mori McElwain
Affiliation:
Professor, Institute of Social Science, University of Tokyo, Bunkyo, Tokyo, Japan
Yuki Shiraito
Affiliation:
Assistant Professor, Department of Political Science, University of Michigan, Ann Arbor, MI, USA
*
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Abstract

The revision of sexist laws is complicated not only by disagreements between progressives and traditionalists but also by opposing views held by different types of traditionalists. We design a two-wave list experiment with information treatments to examine public opinion toward reforming the Japanese monarchy’s male-only patrilineal succession rule, focusing on two strands of traditionalism: conservatism and sexism. We show that conservatism, not sexism, is associated with stronger opposition to the ascension of female monarchs. Moreover, opinions toward gendered succession rules are hard to dislodge, because they are rooted in deep-held values. Treatments that highlight the capability of female heirs, the rarity of current practices in peer nations, and the perils posed by succession crises fail to change respondent preferences. Our study reveals the discordance within traditional values, and how this can impede efforts to reform statutory gender discrimination.

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 in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Figure 1. An example of the item counting technique (list experiment).

Figure 1

Figure 2. Treatment information. Subfigures (a), (b), (c), and (d) are three treatments and the control, respectively. Respondents assigned to each group saw the image along with the captions in Japanese.We realized an error in this table after fielding the survey. Spain and Monaco should be in the row, ‘Males given priority over females.’

Figure 2

Figure 3. Research design.

Figure 3

Figure 4. Estimated proportion of population who are upset by the four sensitive items. 90%, 95%, and 99% asymptotic confidence intervals are represented by red lines, black lines, and gray lines, respectively.

Figure 4

Figure 5. Estimated difference in the average predicted probabilities of being upset by the four sensitive items between sub-populations. Solid circles represent the sensitive item Princess Aiko, open circles represent Female Emperor, open squares represent Aiko’s Son, and open triangles represent Imperial Descendants. The solid lines represent 95% asymptotic confidence intervals.

Figure 5

Figure 6. Effects of informational treatments on the estimated change (across two waves) in the proportion of respondents who are upset by the four sensitive items. The interpretation of the treatment effects is relative to the control group. Princess Aiko, Female Emperor, Aiko’s Son (Hypo), and Imperial Descendant represent the four sensitive items. The solid lines represent 95% nonparametric bootstrap confidence intervals.

Figure 6

Figure 7. Effects of informational treatments (Capability, Global Practice, Family Tree), relative to Control, on the estimated proportion of sub-populations who are upset by the four sensitive items (Princess Aiko, Female Emperor, Aiko’s Son (Hypo), and Imperial Descendant) across two waves. The subfigures summarize the results of respondents who scored (a) below average in conservatism but above average in sexism; (b) above average in conservatism but below average in sexism; (c) conservatism and sexism are both above average. The solid lines represent 95% asymptotic confidence intervals.

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