JOURNAL ARTICLE
The Microfoundations of Nuclear Proliferation: Evidence from South Korea.
Published In: International Journal of Public Opinion Research, 2023, v. 35, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lee, Kyung Suk 3 of 3
Abstract
This article examines how South Koreans form their beliefs about nuclear weapon acquisition, analyzing both structural-level factors—such as North Korea’s ballistic missile launches, nuclear tests, and leadership summits—and individual-level factors including perceptions of nuclear imbalance, trust in U.S. security guarantees, and political party identification. Using a novel time-series dataset based on annual surveys from the Institute for Peace and Unification Studies (IPUS), the study finds that structural events do not immediately influence public opinion but have cumulative effects over several months: North Korea’s provocations increase support for nuclearization, while South Korea–U.S. summits gradually reduce it, and denuclearization summits initially decrease but later increase support due to failed negotiations. At the individual level, fear of nuclear inferiority, desire for autonomous nuclear decision-making, and conservative party support are positively associated with pro-nuclear attitudes. The findings highlight the complex interplay between external security threats, elite political messaging, and domestic dispositions in shaping South Korean public opinion on nuclear proliferation.
Additional Information
- Source:International Journal of Public Opinion Research. 2023/12, Vol. 35, Issue 4, p1
- Document Type:Article
- Subject Area:Diplomacy and International Relations
- Publication Date:2023
- ISSN:0954-2892
- DOI:10.1093/ijpor/edad033
- Accession Number:174158832
- Copyright Statement:Copyright of International Journal of Public Opinion Research is the property of Oxford University Press / USA 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.)
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