Achieving the synergy of pollution and carbon emission reductions : can artificial intelligence applications work?
Jie Dian, Shanmin Li, Tian Song
| Year of publication: |
2025
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| Authors: | Dian, Jie ; Li, Shanmin ; Song, Tian |
| Published in: |
China economic review. - Amsterdam [u.a.] : Elsevier Science, ISSN 1043-951X, ZDB-ID 2019641-6. - Vol. 91.2025, Art.-No. 102389, p. 1-23
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| Subject: | Artificial intelligence applications | Energy structure optimization | Labor substitution | Synergy of pollution and carbon emission reductions | Technological innovation | Künstliche Intelligenz | Artificial intelligence | Treibhausgas-Emissionen | Greenhouse gas emissions | Luftverschmutzung | Air pollution | Umweltbelastung | Pollution | Theorie | Theory | Synergie | Synergy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.chieco.2025.102389 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015414199