Evidence map›Paper›PMID 39512257›Full record

ArticleNature climate change2024

Underestimation of personal carbon footprint inequality in four diverse countries.

Kristian S Nielsen, Jan M Bauer, Ramit Debnath, Charles A Emogor, Sonja M Geiger, Sakshi Ghai, Wencke Gwozdz, Ulf J J Hahnel

Abstract read
In one paragraph

Article in Nature climate change, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Kristian S NielsenDepartment of Management, Society and Communication, Copenhagen Business School, Frederiksberg, Denmark.ORCID 0000-0002-8395-4007
Jan M BauerDepartment of Management, Society and Communication, Copenhagen Business School, Frederiksberg, Denmark.ORCID 0000-0002-6331-4061
Ramit DebnathCambridge Collective Intelligence and Design Group, University of Cambridge, Cambridge, UK.ORCID 0000-0003-0727-5683
Charles A EmogorDepartment of Zoology, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9589-2931
Sonja M GeigerSchool of Psychology, Murdoch University, Perth, Australia.
Sakshi GhaiOxford Internet Institute, University of Oxford, Oxford, UK.
Wencke GwozdzDepartment of Consumer Research, Communication and Food Sociology, Justus-Liebig-University Giessen, Giessen, Germany.ORCID 0000-0001-7176-708X
Ulf J J HahnelFaculty of Psychology, University of Basel, Basel, Switzerland.ORCID 0000-0002-0595-5899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive research highlights global and within-country inequality in personal carbon footprints. However, the extent to which people are aware of these inequalities remains unclear. Here we use an online survey distributed across four diverse countries: Denmark, India, Nigeria and the USA, to show widespread underestimation of carbon footprint inequality, irrespective of participants' country and income segment. Of the 4,003 participants, within each country, 50% of participants were sampled from the top 10% income group. Our results show links between carbon footprint inequality perceptions and climate policy support, but with significant variations observed across the four countries and with participants' income segments. Furthermore, there are links to the perceived fairness of actual carbon footprint inequality, highlighting the need to raise awareness about carbon footprint inequality and further unpack its implications for climate justice and policy.

Indexed as

Climate changeClimate-change mitigationInterdisciplinary studiesPolicyPsychology

Identifiers

PMID39512257
PMCPMC11537954

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.