Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest”

Reducing carbon emissions is crucial for combating climate change, and low-carbon consumption is vital for carbon reduction. While intelligence technologies may reshape consumption, how they affect low-carbon consumption behavior and the underlying mechanisms are underexplored. Using the Attitude-Context-Behavior (ACB) theory, this study investigated whether intelligence technologies can promote low-carbon consumption, focusing on attitudinal factors’ mediating effect. With 399 Ant Forest users, models were constructed and regression analyses were carried out. The results showed that: (1) Attitudinal factors positively influence consumers’ low-carbon consumption behavior; (2) Contextual factors, including intelligence technologies, media campaigns, policy regulations, interpersonal influence, and spiritual incentives all positively affect low-carbon consumption behavior; (3) These contextual factors enhance low-carbon consumption behavior via attitudinal factors. To promote low-carbon consumption among Chinese residents, accelerating intelligence technology development, maintaining awareness campaigns, and enhancing self-efficacy are essential for a low-carbon societal shift.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2025-05-30
DOI
https://doi.org/10.3389/fenvs.2025.1596697
Citations
1
Primary Topic
Environmental Education and Sustainability
Type
article
Field-Weighted Citation Impact
2.42
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article

Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest”

Xuepin Wu, Jiawen Ye, Ruidan Zhang, Chaoxun Ding
1 citations
Frontiers in Environmental Science
Environmental Education and Sustainability
2.42
article

Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest”

Xuepin Wu, Jiawen Ye, Ruidan Zhang, Chaoxun Ding
article en
1 citations

Abstract

Reducing carbon emissions is crucial for combating climate change, and low-carbon consumption is vital for carbon reduction. While intelligence technologies may reshape consumption, how they affect low-carbon consumption behavior and the underlying mechanisms are underexplored. Using the Attitude-Context-Behavior (ACB) theory, this study investigated whether intelligence technologies can promote low-carbon consumption, focusing on attitudinal factors’ mediating effect. With 399 Ant Forest users, models were constructed and regression analyses were carried out. The results showed that: (1) Attitudinal factors positively influence consumers’ low-carbon consumption behavior; (2) Contextual factors, including intelligence technologies, media campaigns, policy regulations, interpersonal influence, and spiritual incentives all positively affect low-carbon consumption behavior; (3) These contextual factors enhance low-carbon consumption behavior via attitudinal factors. To promote low-carbon consumption among Chinese residents, accelerating intelligence technology development, maintaining awareness campaigns, and enhancing self-efficacy are essential for a low-carbon societal shift.

Frontiers in Environmental ScienceVol. 13
Hainan University (CN), Henan University of Technology (CN)
Openalex Percentile: Top 12%
Environmental Education and Sustainability
2.42
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Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” — Xuepin Wu, Jiawen Ye, et al. · Frontiers in Environmental Science (2025) | TGRS Research Map | TGRS