JOURNAL ARTICLE

Environmental Protest as a Transformative Force for Democracy: The Cases of Poland and Serbia and the Birth of a Different Democratic Matrix.

  • Published In: Tocqueville Review -- La Revue Tocqueville, 2023, v. 44, n. 1. P. 89 1 of 3

  • Database: Historical Abstracts with Full Text 2 of 3

  • Authored By: Kendrick, Jamie 3 of 3

Abstract

This article examines the significant yet underrecognized role of environmental movements in shaping democratic transitions and contesting authoritarianism in Eastern Europe, focusing on Poland in the 1980s and Serbia in the 2020s. In Poland, environmental activism—especially following the 1986 Chernobyl disaster—mobilized broad public opposition that challenged the communist regime and contributed to the country’s democratic transition. In contemporary Serbia, environmental protests against projects like urban redevelopment, micro-hydroelectric plants, and lithium mining have formed a political alternative to entrenched elites amid democratic backsliding. These cases illustrate how environmental movements expose governance failures, engage diverse social groups, and foster new democratic practices by linking local ecological concerns to broader political accountability. The article argues that environmental activism is integral to both the practice and evolution of democracy in Eastern Europe, countering narratives that separate ecological issues from political freedoms.

Additional Information

  • Source:Tocqueville Review -- La Revue Tocqueville. 2023/01, Vol. 44, Issue 1, p89
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:0730-479X
  • DOI:10.3138/ttr.44.1.89
  • Accession Number:163991075
  • Copyright Statement:Copyright of Tocqueville Review -- La Revue Tocqueville is the property of University of Toronto Press 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.