Evidence map›Paper›PMID 34099812›Full record

ArticleScientific reports2021

Feeling of guilt explains why people react differently to resource depletion warnings.

Thomas Baumgartner, Janek S Lobmaier, Nicole Ruffieux, Daria Knoch

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.9field-weighted citation impact, top 11% of its field
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, 5 citations in OpenAlex.

  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 at 1 institution in 1 country.

Thomas BaumgartnerDepartment of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland. thomas.baumgartner@psy.unibe.ch.
Janek S LobmaierDepartment of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland.
Nicole RuffieuxDepartment of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland.
Daria KnochDepartment of Social Neuroscience and Social Psychology, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland. daria.knoch@psy.unibe.ch.
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite insistent warnings from climate scientists, the global environmental situation is further deteriorating. To date, only very few studies have investigated the impact of warnings on sustainable decision-making in controlled laboratory settings. Moreover, the few existing studies mainly looked at average warning reactions rather than taking individual differences into account. Here, we investigated individual differences in the reaction to resource depletion warnings and scrutinized the impact of emotions on behavioural changes by applying a resource dilemma task with warnings. Data-driven and model-free cluster analyses identified four different types of consumption behaviour. Importantly, guilt was positively related to sustainable decision-making after warnings. In contrast, a lack of guilt was associated with no behavioural change or even worse with more unsustainable behaviour after warnings. These findings contribute to the debate over effective climate change communication by demonstrating that issuing warnings about the climate crisis only leads to the intended behavioural changes if people experience guilt.

Identifiers

PMID34099812
PMCPMC8185082
OpenAlexW3171681005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.