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Is artificial intelligence technology innovation a recipe for low-carbon energy transition? A global perspective

Year: 2024

Type: article

Source: Energy

DOI: 10.1016/j.energy.2024.131539

Authors: Senmiao Yang, Jianda Wang, Kangyin Dong, Xiucheng Dong, Kun Wang, Xiaowen Fu

Institutions: University of International Business and Economics, Hong Kong Polytechnic University

Language: English

Topic: Energy, Environment, Economic Growth

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Affordable and clean energy

Open Access status: closed

Funders: National Office for Philosophy and Social Sciences, National Social Science Fund of China

Award: G2580958011

OpenAlex ID: W4396652809

FWCI: 23.36

Cites: 121

Cited by: 66

Related to: 10