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-Co...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1596697/full |
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| author | Chaoxun Ding Jiawen Ye Xuepin Wu Ruidan Zhang |
| author_facet | Chaoxun Ding Jiawen Ye Xuepin Wu Ruidan Zhang |
| author_sort | Chaoxun Ding |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b78b9c8cf44241c7a8aee7e1b75f8ad9 |
| institution | DOAJ |
| issn | 2296-665X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-b78b9c8cf44241c7a8aee7e1b75f8ad92025-08-20T03:05:46ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-05-011310.3389/fenvs.2025.15966971596697Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest”Chaoxun Ding0Jiawen Ye1Xuepin Wu2Ruidan Zhang3School of Business, Henan University of Science and Technology, Henan, ChinaSchool of Business, Henan University of Science and Technology, Henan, ChinaHainan University, Haikou, Hainan, ChinaSchool of Business, Henan University of Science and Technology, Henan, ChinaReducing 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.https://www.frontiersin.org/articles/10.3389/fenvs.2025.1596697/fulllow-carbon consumption behaviorAnt forestattitude-context-behavior theoryintelligence technologystructural equation mode |
| spellingShingle | Chaoxun Ding Jiawen Ye Xuepin Wu Ruidan Zhang Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” Frontiers in Environmental Science low-carbon consumption behavior Ant forest attitude-context-behavior theory intelligence technology structural equation mode |
| title | Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” |
| title_full | Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” |
| title_fullStr | Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” |
| title_full_unstemmed | Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” |
| title_short | Intelligence technologies and low-carbon consumption behavior: evidence from Chinese app “Ant Forest” |
| title_sort | intelligence technologies and low carbon consumption behavior evidence from chinese app ant forest |
| topic | low-carbon consumption behavior Ant forest attitude-context-behavior theory intelligence technology structural equation mode |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1596697/full |
| work_keys_str_mv | AT chaoxunding intelligencetechnologiesandlowcarbonconsumptionbehaviorevidencefromchineseappantforest AT jiawenye intelligencetechnologiesandlowcarbonconsumptionbehaviorevidencefromchineseappantforest AT xuepinwu intelligencetechnologiesandlowcarbonconsumptionbehaviorevidencefromchineseappantforest AT ruidanzhang intelligencetechnologiesandlowcarbonconsumptionbehaviorevidencefromchineseappantforest |