JOURNAL ARTICLE

Heated Migration Debates in Japan? An Empirical-Analytical Look at the 2024 Lower House Election.

  • Published In: Jahrbuch der Vereinigung für Sozialwissenschaftliche Japanforschung, 2025. P. 113 1 of 3

  • Database: Sociology Source Ultimate 2 of 3

  • Authored By: Vogt, Gabriele 3 of 3

Abstract

The openly xenophobic campaign of the small party Sanseitō led to significant gains in Japan's Upper House election in July 2025. International media reacted with surprise, interpreting the result as a possible shift in Japan's political culture. German outlets in particular drew strong comparisons: Deutsche Welle diagnosed a »problem with rightwing populism,« Frankfurter Rundschau claimed populists were »hijacking« Japan's election, and Die Zeit described Sanseitō's rise as »Trump in Japanese.« Much of the coverage raised the question of whether Japan, like other liberal democracies, is experiencing a rightward turn fueled by populist xenophobia. With Sanseitō securing 15 Upper House seats under the slogan »Japanese First,« observers wondered if this marked the beginning of such a development. To assess this, it is useful to look back at the October 2024 Lower House election. How did Sanseitō and other parties position themselves on migration at that time? Was it already clear that issues linked to migration--such as labor shortages, booming tourism, or foreign property investment--would gain such explosive political force? This article therefore analyzes party positions on migration in 2024, situates them within the framework of migration securitization, and offers early insights into a possible shift in Japan's migration debate. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Jahrbuch der Vereinigung für Sozialwissenschaftliche Japanforschung. 2025/01, p113
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2025
  • ISSN:0343-6950
  • Accession Number:190430270
  • Copyright Statement:Copyright of Jahrbuch der Vereinigung für Sozialwissenschaftliche Japanforschung is the property of Iudicium Verlag GmbH and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.