2022
DOI: 10.1186/s12302-022-00640-0
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Analyzing multi-level governance dynamics from a discourse network perspective: the debate over air pollution regulation in Germany

Abstract: Background Designed to set limits to air pollutant emissions, EU Directive 2008/50/EG has pushed city administrations to strengthen their commitment to environmental protection with mixed results. However, the effectiveness of these policies remains suboptimal. Within this context, this paper provides original empirical evidence on the nature and evolution of the debate over air pollution in the EU that helps readers understand how the interplay among discourse coalitions across levels of gover… Show more

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Cited by 5 publications
(1 citation statement)
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“…highlighted the differential impacts of the Fukushima incident on discursive networks and transition pathways in Germany and Japan. Lastly,Nagel and Bravo-Laguna (2022), through the comparison of discursive networks on air pollution, emphasised the importance of aligning discourses across governance levels for successful transitions.Secondly, discourse network analysis incorporates a temporal dimension by examining the evolution of discourses and coalitions over multiple time intervals within the time frame of the data. By comparing these different discursive networks, it becomes possible to identify periods of discursive stability as well as moments of discursive change.…”
mentioning
confidence: 99%
“…highlighted the differential impacts of the Fukushima incident on discursive networks and transition pathways in Germany and Japan. Lastly,Nagel and Bravo-Laguna (2022), through the comparison of discursive networks on air pollution, emphasised the importance of aligning discourses across governance levels for successful transitions.Secondly, discourse network analysis incorporates a temporal dimension by examining the evolution of discourses and coalitions over multiple time intervals within the time frame of the data. By comparing these different discursive networks, it becomes possible to identify periods of discursive stability as well as moments of discursive change.…”
mentioning
confidence: 99%