JOURNAL ARTICLE
POLITICAL DISCUSSIONS ON SOCIAL RESPONSIBILITY WITH REGARD TO THE DANUBE-ODER-ELBE CANAL IN THE CZECH REPUBLIC.
Published In: Political Sciences / Politické Vedy, 2023, v. 26, n. 2. P. 159 1 of 3
Database: The Belt and Road Initiative Reference Source 2 of 3
Authored By: Nesiba, Jiří; Smolík, Josef 3 of 3
Abstract
The article presents the political discussion on the Danube-Oder-Elbe (DOE) international water corridor in the Czech Republic in the period 2010-2021. The issue has become highly politicised among Czech political bodies in the last decade. The article presents the development of political interests in the DOE issue in the Czech Republic regard to the concept of the social responsibility. Due to the fundamentally contradictory changes in the Czech government's policy towards DOE during the period under study, the authors focus on analysing expert documents (e.g., expert strategies, action plans for the Czech Republic, DOE studies, government programme statements) and political decisions in the Czech Republic on the given topic in the last decade. The authors present the results of the research by content analysis of relevant documents, which were examined by cluster analysis on the relationship "costs of solving negative financial externalities" and "DOE ownership". The methodology used is a combination of cluster analysis, PRISMA analysis and descriptive analysis. The research results show that the analysed documents show a high degree of mutual incoherence. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Political Sciences / Politické Vedy. 2023/04, Vol. 26, Issue 2, p159
- Document Type:Article
- Subject Area:Science
- Publication Date:2023
- ISSN:1335-2741
- DOI:10.24040/politickevedy.2023.26.2.159-186
- Accession Number:175598889
- Copyright Statement:Copyright of Political Sciences / Politické Vedy is the property of Matej Bel University, Faculty of Political Science & International Relations 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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