Evidence map›Paper›PMID 41488945›Full record

ArticleFrontiers in psychology2025

Psychological mechanisms and configurational pathways of participation in personal transportation carbon trading: an environment-cognition-intention perspective.

Xiaohui Wu, Jiani Zhao, Shuzhen Li, Shuchao Cao, Yuji Shi, Meiling He

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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaohui WuSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.
Jiani ZhaoSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.
Shuzhen LiSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.
Shuchao CaoSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.
Yuji ShiSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.
Meiling HeSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Personal transportation carbon emissions pose a key challenge to environmental sustainability, and establishing a personal transportation carbon trading market can help promote the overall low-carbon transformation of society. However, its effectiveness is still constrained by insufficient public participation and a limited understanding of the psychological mechanisms and configurational pathways underlying participation intention. Methods: This study is based on Social Cognitive Theory (SCT) and explores the key factors influencing residents' participation intention, as well as the internal connections between these factors, from an Environment-Cognition-Intention perspective. The psychological response mechanisms of individuals' cognition and intention under external environmental stimuli were examined using structural equation modeling (SEM), and fuzzy set qualitative comparative analysis (fsQCA) was applied to identify configurational pathways that lead to participation intention. Results: The results indicate that environmental factors, including policy formulation (PF), social support and social norms (SSN), positively influence participation intention (PI). This influence not only directly affects PI but also operates through a series of interrelated cognitive processes, including self-efficacy (SE), perceived usefulness (PU) and perceived ease of use (PEOU), which in turn enhance PI. However, perceived risk (PR) acts as a negative cognitive factor suppressing PI. Furthermore, configurational analysis also clearly demonstrates multiple causal pathways leading to high PI, highlighting that combinations of strong social support and norms, high PU, and low PR are particularly effective. Discussion: This study provides deeper insight into the psychological mechanisms underlying low-carbon behavior, highlighting how the market activates motivation through economic incentives and reinforces the influence of social norms and perceived collective responsibility on individual behavior. Configurational pathways further suggest that specific combinations of social and cognitive conditions can foster high PI. It provides theoretical support for the development of targeted behavioral incentive strategies to enhance public participation in personal transportation carbon trading and thereby promote environmental sustainability.

Indexed as

configurational pathwaysenvironmental sustainabilitylow-carbon travelparticipation intentionpersonal transportation carbon tradingpsychological mechanism

Identifiers

PMID41488945
PMCPMC12757220

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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.