ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1596697
This article is part of the Research TopicBehavioral Economics in Household Decisions Related to Sustainability and InnovationView all 5 articles
Intelligence Technologies and Low-carbon Consumption Behavior: Evidence from Chinese APP “Ant Forest”
Provisionally accepted
- 1Henan University of Science and Technology, Luoyang, China
- 2Hainan University, Haikou, Hainan Province, China
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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.
Keywords: Low-carbon consumption behavior, Ant forest, Attitude-Context-Behavior theory, Intelligence technology, Structural equation mode
Received: 20 Mar 2025; Accepted: 06 May 2025.
Copyright: © 2025 Ding, Ye, Wu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jiawen Ye, Henan University of Science and Technology, Luoyang, China
Ruidan Zhang, Henan University of Science and Technology, Luoyang, China
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