Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China
| Year of publication: |
2024
|
|---|---|
| Authors: | Zhong, Wenli ; Liu, Yang ; Dong, Kangyin ; Ni, Guohua |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 138.2024, Art.-No. 107829, p. 1-13
|
| Subject: | Artificial intelligence | Synergistic emissions of pollutants and CO2 | Mediation effects | Sustainable development | SYS-GMM technique | Künstliche Intelligenz | Treibhausgas-Emissionen | Greenhouse gas emissions | China | Luftverschmutzung | Air pollution | Umweltbelastung | Pollution | Ökosteuer | Environmental tax |
-
Data, power and emissions : the environmental cost of AI
Bonfiglioli, Alessandra, (2025)
-
Data, power and emissions : the environmental cost of AI
Bonfiglioli, Alessandra, (2025)
-
The impact of AI on carbon emissions : evidence from 66 countries
Zhong, Junhao, (2024)
- More ...
-
Does smart transportation matter in inhibiting carbon inequality?
Dong, Kangyin, (2023)
-
Liu, Yang, (2025)
-
How do green bonds promote common prosperity? : evidence from Chinese prefecture-level cities
Liu, Yang, (2024)
- More ...