Evidence map›Paper›PMID 39708103›Full record

ArticleAmbio2025

It would feel weird to not drive my car! Exploring the role of habits in public policy acceptance of carbon taxations.

Noah Linder, Patrik Sörqvist, Daniel Lindvall, Sverker Jagers, Stephan Barthel

Abstract read
In one paragraph

Article in Ambio, 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
–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

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

5 authors.

Noah LinderGlobal Economic Dynamics and the Biosphere, Royal Swedish Academy of Science, Lilla Frescativägen 4A, SE-104 05, Stockholm, Sweden. noah.linder@kva.se.ORCID http://orcid.org/0000-0003-4486-3644
Patrik SörqvistDepartment of Building Engineering, Energy Systems and Sustainability Science, University of Gävle, Kungsbärcksvägen 47, SE-801 76, Gävle, Sweden.
Daniel LindvallDepartment of Earth Sciences, Uppsala University, Villavägen 16, 752 36, Uppsala, Sweden.
Sverker JagersDepartment of Earth Sciences, Uppsala University, Villavägen 16, 752 36, Uppsala, Sweden.
Stephan BarthelDepartment of Building Engineering, Energy Systems and Sustainability Science, University of Gävle, Kungsbärcksvägen 47, SE-801 76, Gävle, Sweden.

Funding

Mistra DIA 2019/28Svenska Forskningsrådet Formas 2021-00416
6 · The paper itself

Abstract

This study aims to expand the understanding of public acceptance of carbon taxes by exploring the role of habits. Habits play a pivotal role in guiding our behaviors and reasoning and can even influence our self perception and identity but remain an underexplored variable in relation to public policy acceptance. We employed a large scale (N > 5200) national survey to measure public acceptance of higher carbon taxation in Sweden, also capturing car driving habits, car usage, and other relevant variables. The findings show that habit strength is negatively correlated with policy acceptance, regardless of self reported driving distance, while also appearing to moderate the relationship between policy acceptance and environmental concern and political leaning, variables previously shown to be of relevance. The study suggests that the influence of habits needs to be recognized to better understand the formation of climate policy acceptance, and exploring this perspective paves the way for future research.

Indexed as

Automobile DrivingCarbonHabitsPublic OpinionPublic PolicyTaxesHumansSwedenCarbonCarbon taxCar useClimate mitigationHabitsPolicy acceptancePublic

Identifiers

PMID39708103
PMCPMC11871190

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.