Evidence map›Paper›PMID 41040629›Full record

ArticlePolicy sciences2025

Hijacking or helping?-How political actors use the COVID-19 pandemic in the climate discourse to advocate their policy beliefs and preferences.

Marlene Kammerer, Jack Baker, Lukas Paul Fesenfeld, Maiken Maier, Simon Montfort, Karin Ingold

Abstract read
In one paragraph

Article in Policy sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marlene KammererInstitute of Political Science, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.ORCID 0000-0001-6162-6793
Jack BakerFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Lukas Paul FesenfeldInstitute of Political Science, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
Maiken MaierInstitute of Political Science, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
Simon MontfortLaboratory on Human-Environment Relations in Urban Systems, EPF Lausanne, Lausanne, Switzerland.
Karin IngoldInstitute of Political Science, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of today's challenges, such as climate change, war, or health crises, are highly interlinked and intertwined. Actors in the public discourse sometimes use the term "polycrisis" to describe this "causal entanglement of crises". This article investigates whether this entanglement is visible in the media discourse and whether political actors strategically (mis-)use simultaneous and overlapping crises to influence policymaking in favor of their policy beliefs and preferences. Specifically, it studies how the outbreak of the COVID-19 pandemic in 2020 influenced the climate discourse at that time and whether and how political actors included the pandemic as "narrative strategy" to advocate their climate policy beliefs and preferences. To answer this question, this article scrutinizes the climate media discourse in 2020 in Germany and Switzerland and employs a logistic regression model combined with a descriptive and qualitative analysis of the climate discourse in the two countries. Our results show that in both countries primarily pro-environment actors use COVID-19-related arguments as narrative strategy to increase public attention for the need of a more ambitious climate policy, while pro-economy actors follow a strategy of decreasing the salience of the climate issue (i.e., not linking the issues), potentially reducing public pressure for more ambitious climate mitigation.

Indexed as

Climate policyCOVID-19 pandemicDiscourse analysisMixed-methodsNarrative policy framework

Identifiers

PMID41040629
PMCPMC12484342

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.