Influential factors of residents' online green behavior in China: the mediating role of social trust.

Yong Li, Xiao Yu, Ranran Wang

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yong LiSchool of Marxism, Shanghai Maritime University, Shanghai, 201306, China.

Xiao YuSchool of Customs and Public Administration, Shanghai Customs University, No. 5677 Huaxia Xilu, Pudong New Area, Shanghai, 201204, China. 2004740@shcc.edu.cn.

Ranran WangSchool of Marxism, Southwest University, Chongqing, 400715, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental issues are associated with the pursuit of sustainable development in human society. To address environmental challenges, it is crucial to encourage residents to engage in pro-environmental behaviors. Instead of investigating residents’ offline pro-environmental behaviors, this study focuses on residents’ online green behavior by examining their Ant Forest use behavior. Ant Forest is an environmental protection online platform widely used in China. A total of 505 samples is obtained using a convenience sampling approach for this study. The research findings suggest that environmental risk perception has a positive impact on residents’ online green behavior. Social trust exerts a positive effect on residents’ online green behavior. More importantly, social trust partially mediates the effect of environmental risk perception on online green behavior. Unlike traditional offline pro-environmental activities, Ant Forest users need more trust and psychological support to overcome the concerns of pro-environmental engagement and supervision. Additionally, this research provides managerial implications for Ant Forest designers and environment managers enhancing Ant forest content design and promoting more pro-environmental behaviors.

Indexed as

Conservation of Natural ResourcesTrustAnimalsAntsChinaForestsHumansAnt forestEnvironmental risk perceptionOnline green behaviorSocial trust

Identifiers

PMID41826440

DOI10.1038/s41598-026-44191-3

PMCPMC13111700

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.