Evidence map›Paper›PMID 39966567›Full record

ArticleScientific reports2025

Impact of internet use on pro-environmental behaviour mediated by environmental concern.

Junlei Teng, Xiangxiong Xiao, Nian Zhang, Shipeng Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Junlei TengSchool of Public Administration, Xiangtan University, Xiangtan, 411105, China. 202231100068@smail.xtu.edu.cn.
Xiangxiong XiaoSchool of Public Administration, Xiangtan University, Xiangtan, 411105, China.
Nian ZhangSchool of Public Administration, Xiangtan University, Xiangtan, 411105, China.
Shipeng YangFaculty of economics and management, Hengyang Normal University, Hengyang, 421002, China.

Funding

Xiangtan University Innovation Foundation for Postgraduate XDCX2023Y088
6 · The paper itself

Abstract

In the context of sustainable development, Internet technology offers new ideas and approaches for promoting pro-environmental behaviour (PEB) in citizens. Utilising data from the 2021 Chinese General Social Survey, the present study employs ordinary least squares regression and mediation analysis to examine the relationships among Internet use, environmental concern, and PEB. The findings reveal a significant positive correlation between Internet use and PEB, with environmental concern serving as a complete mediator. This correlation remained robust across different model specifications and subsamples. Heterogeneity analysis revealed that the positive effect of Internet use on PEB was significant among high-income individuals, urban residents, and females but not among low-income individuals, rural residents, and males. The study proposes measures to bridge the digital divide in rural areas, encourage and support enterprises to use Internet platforms for green marketing activities and design personalised online training courses tailored to the needs of different socio-economic groups. The findings of the present study enhance our understanding of the underlying mechanism of the impact of information on changes in PEB in the context of a digital age, and it provides strong academic support for advancing the digital transformation of global environmental governance.

Indexed as

EnvironmentInternetInternet UseAdolescentAdultChinaFemaleHumansMaleMiddle AgedRural PopulationSocioeconomic FactorsSurveys and QuestionnairesSustainable DevelopmentYoung AdultEnvironmental concernInternet usePro-environmental behaviourSustainable development

Identifiers

PMID39966567
PMCPMC11836312

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.