Psychological barriers to improving carbon competence

Abstract To effectively contribute to the mitigation of climate change, individuals require accurate representations of the greenhouse gas emissions related to climate actions across life domains. Although this carbon competence is generally low, the related psychological barriers remain largely unexplored, and few attempts have been made to improve it. Here we investigate how heuristic and motivated reasoning processes relate to mitigation potential estimates and evaluate corrective interventions. Across three preregistered studies ( n total = 2,924) we show that low- to medium-impact actions are more frequently adopted than higher-impact actions, and that knowledge about the differential impact of climate actions is limited. Our data suggest that inaccuracies are driven by individuals consistently relying on the availability heuristic and motivated reasoning to form their judgements. To address this, we identify perceived behavioural costs and social prevalence as reasonable proxies of the actual impact of a broad range of climate actions. Leveraging this insight in two corrective boosting interventions and informing about the most impactful climate actions only partly improved impact estimates, with considerable variations across individuals. Accounting for heterogeneity through tailored interventions appears crucial to overcome pervasive psychological barriers to carbon competence on a large scale.

Authors

Institutions

Publication Details

Journal
Nature Sustainability
Published
2026-08-03
DOI
https://doi.org/10.1038/s41893-026-01900-0
Primary Topic
Environmental Education and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychological barriers to improving carbon competence

Claudia R. Schneider, Tobias Brosch, Mario Herberz, Lukas Engel
Nature Sustainability
Environmental Education and Sustainability
article

Psychological barriers to improving carbon competence

Claudia R. Schneider, Tobias Brosch, Mario Herberz, Lukas Engel
article en

Abstract

Abstract To effectively contribute to the mitigation of climate change, individuals require accurate representations of the greenhouse gas emissions related to climate actions across life domains. Although this carbon competence is generally low, the related psychological barriers remain largely unexplored, and few attempts have been made to improve it. Here we investigate how heuristic and motivated reasoning processes relate to mitigation potential estimates and evaluate corrective interventions. Across three preregistered studies ( n total = 2,924) we show that low- to medium-impact actions are more frequently adopted than higher-impact actions, and that knowledge about the differential impact of climate actions is limited. Our data suggest that inaccuracies are driven by individuals consistently relying on the availability heuristic and motivated reasoning to form their judgements. To address this, we identify perceived behavioural costs and social prevalence as reasonable proxies of the actual impact of a broad range of climate actions. Leveraging this insight in two corrective boosting interventions and informing about the most impactful climate actions only partly improved impact estimates, with considerable variations across individuals. Accounting for heterogeneity through tailored interventions appears crucial to overcome pervasive psychological barriers to carbon competence on a large scale.

Nature Sustainability
University of Geneva (CH), University of Basel (CH), University of Canterbury (NZ)
Climate action
Openalex Percentile: Top 6%
Environmental Education and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.