Can the application of artificial intelligence in industry cut China's industrial carbon intensity?

Tao, Sijia; Wang, Yanqiu; Zhai, Yingnan

Tao, Sijia; Wang, Yanqiu; Zhai, Yingnan.

Affiliation

Tao S; School of Economics and Management, Northeast Petroleum University, Daqing, 163318, China.
Wang Y; School of Economics and Management, Northeast Petroleum University, Daqing, 163318, China. dqwangyanqiu@126.com.
Zhai Y; Department of Management, University of Louisiana at Lafayette, Lafayette, LA, 70504, USA. dqwangyanqiu@126.com.

Environ Sci Pollut Res Int ; 30(33): 79571-79586, 2023 Jul.

Article in En | MEDLINE | ID: mdl-37318732

Subject(s)

Artificial Intelligence; Carbon; Industry; Economic Development; China; Carbon Dioxide/analysis

Key words

Artificial intelligence; Carbon intensity; China's industrial sector; Influence mechanism; Regional balanced; Spatial effects

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Carbon Country/Region as subject: Asia Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China

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