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  The political economy of coal across 12 countries: Analysing qualitative interviews with topic models

Manych, N., Müller-Hansen, F., Steckel, J. C. (2023): The political economy of coal across 12 countries: Analysing qualitative interviews with topic models. - Energy Research and Social Science, 101, 103137.
https://doi.org/10.1016/j.erss.2023.103137

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 Creators:
Manych, Niccolò1, Author
Müller-Hansen, Finn2, Author              
Steckel, Jan Christoph2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Understanding the ongoing investments in coal-fired power plants requires an analysis of the political economy. Here, we conduct a computational analysis of 212 interviews from 12 countries on the political economy of coal using topic modelling (TM). Our study highlights relevant topics by actor group and country. While most topics are similarly distributed across all actor groups, we find distinct clusters of countries in which similar topics play important roles. For example, in Indonesia and India, sustaining low electricity tariffs is brought forward as a reason to invest in coal, whereas in South Africa and Kenya the civil society is considered instrumental in the choice of coal or alternatives. To validate our findings, we compare them to outcomes of qualitative case studies and to papers grouping countries based on quantifiable factors. As this study is among the first to apply TM to interview data, we thereby highlight strengths and challenges for such application and the interpretability of results. We argue that topic models are effective supplements to qualitative case studies, particularly when analysing large amounts of text.

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Language(s): eng - English
 Dates: 2022-11-232023-05-092023-05-262023-07
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.erss.2023.103137
MDB-ID: No data to archive
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
Model / method: Qualitative Methods
Regional keyword: Global
Research topic keyword: Energy
Research topic keyword: Climate Policy
 Degree: -

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Title: Energy Research and Social Science
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 101 Sequence Number: 103137 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/energy-research-social-science
Publisher: Elsevier