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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Analyzing transitions through the lens of discourse networks : coal phase-out in Germany
Authors: Markard, Jochen
Rinscheid, Adrian
Widdel, Linda
et. al: No
DOI: 10.1016/j.eist.2021.08.001
Published in: Environmental Innovation and Societal Transitions
Volume(Issue): 40
Pages: 315
Pages to: 331
Issue Date: 2021
Publisher / Ed. Institution: Elsevier
ISSN: 2210-4224
Language: English
Subjects: Discourse network analysis; Discourse coalition; Technology decline; Regime destabilization; Coal phase-out; Politics of climate change
Subject (DDC): 302.23: Media
333.7: Land, natural recreational areas
Abstract: Discourse analysis is gaining attention in transition studies. This paper uses discourse network analysis (DNA) to study how discourse coalitions, and the storylines they mobilize, change over time. Drawing from archival data of two daily newspapers, we analyze the struggle over coal phase-out in Germany (2000–2020). We identify an anti-coal discourse coalition, which was stable and ideationally congruent over time. It used climate change as the dominant storyline to delegitimize coal. The phase-out policy decision in 2020 can be interpreted as the success of this coalition. The pro-coal coalition, in contrast, was more dispersed and less consistent in their arguments. Nonetheless, it was able to institutionalize some of its key storylines in the final policies. We argue that DNA is a powerful tool we can mobilize in sustainability transitions research for the study of politics and beyond.
Fulltext version: Published version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Published as part of the ZHAW project: SWEET PATHFNDR – Wege in eine effiziente Energiezukunft durch Flexibilität und Sektorenkopplung
Pathways – Conflicting Transition Pathways for Deep Decarbonization
Appears in collections:Publikationen School of Engineering

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