JOURNAL ARTICLE
Democratic Backsliding: Comparative Reflections on the American Experience.
Published In: Political Science Quarterly (Oxford University Press / USA), 2023, v. 138, n. 3. P. 407 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Encarnación, Omar G. 3 of 3
Abstract
This article examines democratic backsliding—the gradual weakening of democracy by elected leaders—and argues for prioritizing institutional remedies over citizen-focused solutions to address this phenomenon. While Sara Wallace Goodman's work emphasizes strengthening democratic citizenship to counter backsliding, the article highlights how structural flaws in political systems, such as the U.S. Electoral College and partisan gerrymandering, enable democratic erosion despite active citizen engagement. Comparing the United States and Brazil, the article illustrates how Brazil's modernized democratic institutions helped it better withstand backsliding under Jair Bolsonaro, unlike the U.S. experience under Donald Trump. Ultimately, the article contends that robust democratic infrastructure, accountability mechanisms, and modernization of political institutions are essential to arrest backsliding and sustain democracy.
Additional Information
- Source:Political Science Quarterly (Oxford University Press / USA). 2023/09, Vol. 138, Issue 3, p407
- Document Type:Article
- Subject Area:Political Science
- Publication Date:2023
- ISSN:0032-3195
- DOI:10.1093/psquar/qqad036
- Accession Number:172855861
- Copyright Statement:Copyright of Political Science Quarterly (Oxford University Press / USA) 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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