Evidence map›Paper›PMID 41530221›Full record

ArticleScientific reports2026

The impact of digital literacy on green consumption behavior under the moderation of prosocial behavior.

Maobao Yang, Gaofei Ren, Yuzi Xiao, Lei Guo

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

Maobao YangSchool of Management, Jiujiang University, Jiujiang, China.
Gaofei RenSchool of Management, Jiujiang University, Jiujiang, China. gaofei_ren@163.com.
Yuzi XiaoSchool of Economics and Management, Jiangxi Normal University, Nanchang, China.
Lei GuoSchool of Management, Jiujiang University, Jiujiang, China.

Funding

Humanities and Social Sciences Project of Chinese Ministry of Education 23YJAZH116Innovative High-end Talent Project Jiujiang Xuncheng Outstanding Talent Program XCYC2025038Key Research Base Project of Philosophy and Social Sciences of Jiangxi Province in China 24ZXSKJD51National Natural Science Foundation of China 72464017
6 · The paper itself

Abstract

Integrating green concepts into all consumption areas and promoting the transition from traditional to low-carbon consumption is crucial for implementing new development strategies, fostering high-quality economic growth, and achieving the goals of "carbon peak and carbon neutrality." From the perspective of consumer digital literacy, this study introduces environmental awareness and green self-efficacy as mediating variables, while incorporating prosocial behavior as a moderating variable to construct a moderated chain mediation model of green consumption behavior. The model is empirically tested using data from 401 questionnaires. The findings indicate that digital literacy positively influences green consumption behavior. Moreover, environmental awareness and green self-efficacy serve as partial mediators in this relationship, with environmental awareness significantly enhancing green self-efficacy. Together, these variables form a chain mediation pathway between digital literacy and green consumption behavior. Additionally, prosocial behavior positively moderates the relationship between digital literacy, environmental awareness, green self-efficacy, and green consumption behavior, exerting a significant moderating influence on the mediation effect of green self-efficacy.

Indexed as

Computer LiteracySocial BehaviorHumansSelf EfficacySurveys and QuestionnairesDigital literacyEnvironmental awarenessGreen consumption behaviorGreen Self-EfficacyProsocial behavior

Identifiers

PMID41530221
PMCPMC12865023

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.