JOURNAL ARTICLE
Judicialization and Public Support for Compliance with International Commitments.
Published In: International Studies Quarterly, 2024, v. 68, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Cohen, Harlan; Powers, Ryan 3 of 3
Abstract
This article examines whether judicializing international commitments—specifically through international courts (ICs)—affects domestic public perceptions of legal obligation and support for compliance with international law. Using survey experiments with a representative sample of the American public, the study compares reactions to non-compliance signals from ICs, international organizations (IOs), domestic political elites (DPE), domestic courts, and foreign states across two treaty contexts: the Vienna Convention on Consular Relations (VCCR) and the World Trade Organization (WTO). The findings indicate that while IC rulings can raise awareness of violations and mobilize support for compliance, they are no more effective than signals from IOs or bipartisan domestic political leaders, and less influential than domestic courts. Moreover, the public's response varies with the perceived trustworthiness of the signal sender, showing skepticism toward non-compliance claims from adversarial foreign states but greater acceptance when such claims come from neutral third parties. These results suggest that the institutional form of dispute settlement bodies matters less to domestic audiences than their perceived neutrality and expertise, challenging assumptions that ICs uniquely constrain state behavior through public opinion.
Additional Information
- Source:International Studies Quarterly. 2024/09, Vol. 68, Issue 3, p1
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:0020-8833
- DOI:10.1093/isq/sqae078
- Accession Number:179873959
- Copyright Statement:Copyright of International Studies Quarterly 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.