Evidence map›Paper›PMID 40479486›Full record

ArticleEnvironmental policy and governance2022

The influence of COVID-19 on modes of governance for climate change-Expert views from the Netherlands and the UK.

Cas Bulder, Iain Todd, Darren McCauley, Mary-Kate Burns

Abstract read
In one paragraph

Article in Environmental policy and governance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Cas BulderErasmus School of Social and Behavioural Sciences, Department of Public Administration and Sociology Erasmus University Rotterdam Rotterdam the Netherlands.ORCID https://orcid.org/0000-0002-1302-0591
Iain ToddErasmus School of Social and Behavioural Sciences, Department of Public Administration and Sociology Erasmus University Rotterdam Rotterdam the Netherlands.ORCID https://orcid.org/0000-0002-8826-5753
Darren McCauleyErasmus School of Social and Behavioural Sciences, Department of Public Administration and Sociology Erasmus University Rotterdam Rotterdam the Netherlands.ORCID https://orcid.org/0000-0002-3951-1129
Mary-Kate BurnsErasmus School of Social and Behavioural Sciences, Department of Public Administration and Sociology Erasmus University Rotterdam Rotterdam the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the world is still in the grasp of COVID-19, countries are contemplating how to get their economies back on their feet. With a unique opportunity to do so in a sustainable manner, there is an urgent need to revisit the governance of climate change. Opportunities are clearly there: the resurgence in top-down policies in the pandemic might spill-over to climate governance; green economic stimuli might cause an increase in market-based approaches; or an increased focus on solidarity, inclusion and collective buy-in may drive more inclusive network-based governance. Using the classic trichotomy of hierarchy, market and network governance, we have analysed the findings of 60 interviews with expert representatives from government, industry and third sector parties in the UK and the Netherlands. Their consideration of the key policies and measures needed to help the transition forward point towards a clear desire for a more hierarchical approach. In addition, mixing the three approaches, especially market and hierarchy, is considered the best way forward.

Indexed as

climate policyenergy transitiongovernancegreen recoverypandemic

Identifiers

PMID40479486
PMCPMC9880644

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.