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Cited by 23Energy, Environment, Economic GrowthClimate Change Policy and EconomicsDigital Economy and Transformation

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Can artificial intelligence achieve carbon neutrality? Evidence from a quasi-natural experiment

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Chen, Siqi, Zhang, Shuyunfan, Zeng, Qihua, Ao, Jiaxuan, Chen, Xiaohua, Zhang, Shizhao·2023·Frontiers in Ecology and Evolution
DOI 10.3389/fevo.2023.1151017
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Abstract

Introduction: As the global climate crisis worsens, carbon neutrality has attracted the attention of various nations. Methods: Based on panel data from 282 Chinese prefecture-level cities from 2008 to 2019, this research considers the execution of the artificial intelligence strategy as a quasi-natural experiment. It uses the difference-in-differences (DID) model to evaluate the effect of artificial intelligence construction on carbon emission reduction. Results: The findings indicate that implementing the artificial intelligence strategy into practice can lower carbon emissions and advance carbon neutrality, and this conclusion still passes after various robustness tests. The mediating effects reveal that developing green technologies and upgrading the industrial structure are crucial mechanisms for achieving carbon neutrality. The implementation effect varies with time, geographical location, natural resource endowment, and city level. Discussion: This article examines the influence of artificial intelligence on urban carbon neutrality at the city level, adding to the notion of urban carbon neutrality and providing research support for urban development transformation.

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Metadata

Authors
Chen, S., Zhang, S., Zeng, Q., Ao, J., Chen, X., & Zhang, S.
Affiliations
Zhejiang Sci-Tech University (CN)
Corresponding author
Chen, Xiaohua
ORCID
Venue
Frontiers in Ecology and Evolution
Publisher
Frontiers Media SA
Published
2023-03-28
Volume
11
ISSN
2296-701X (ISSN-L)
DOI
10.3389/fevo.2023.1151017
OpenAlex
W4361210765
Cited by
23
References
2
Citations by year
2026: 6 · 2025: 7 · 2024: 7 · 2023: 3
FWCI
4.69
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Ecology and Evolution (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Ministry of Education of the People's Republic of China
  • Zhejiang Sci-Tech University
  • National Office for Philosophy and Social Sciences
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Economy and Transformation
Keywords
artificial intelligence, carbon neutrality, carbon emission reduction, urban carbon neutrality, green technology development, industrial upgrading, prefecture-level cities, natural resource endowment, China

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