Work

Can artificial intelligence improve green economic growth? Evidence from China

Year: 2022

Type: article

Source: Environmental Science and Pollution Research

DOI: 10.1007/s11356-022-23320-1

Authors: Yu Qian, Jun Liu, Lifan Shi, Jeffrey Yi-Lin Forrest, Zhidan Yang

Institutions: Nanjing University of Information Science and Technology, Wuxi University, Xi’an Jiaotong-Liverpool University, Slippery Rock 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, Decent work and economic growth, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: 产业共生集聚对中国经济绿色增长的影响机理与政策设计研究

OpenAlex ID: W4299879791

FWCI: 18.51

Cites: 90

Cited by: 119

Related to: 10