How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology DOI
Wei Zhou, Zhuang Yan, Yan Chen

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107355 - 107355

Published: Feb. 1, 2024

Language: Английский

Financial development, technological innovation and energy security: Evidence from Chinese provincial experience DOI
Chien‐Chiang Lee, Chang-song Wang

Energy Economics, Journal Year: 2022, Volume and Issue: 112, P. 106161 - 106161

Published: June 30, 2022

Language: Английский

Citations

130

Digital financial inclusion and carbon neutrality: Evidence from non-linear analysis DOI
Chien‐Chiang Lee, Fuhao Wang, Runchi Lou

et al.

Resources Policy, Journal Year: 2022, Volume and Issue: 79, P. 102974 - 102974

Published: Sept. 5, 2022

Language: Английский

Citations

118

Natural resources and green economic growth: An analysis based on heterogeneous growth paths DOI
Chien‐Chiang Lee, Zhi-Wen He

Resources Policy, Journal Year: 2022, Volume and Issue: 79, P. 103006 - 103006

Published: Sept. 20, 2022

Language: Английский

Citations

115

Combined nonlinear effects of urbanization and economic growth on CO2 emissions in Malaysia. An application of QARDL and KRLS DOI
Ashar Awan, Muhammad Sadiq, Syed Tauseef Hassan

et al.

Urban Climate, Journal Year: 2022, Volume and Issue: 46, P. 101342 - 101342

Published: Nov. 13, 2022

Language: Английский

Citations

114

Impact of digitalization and environmental regulation on total factor productivity DOI
Huwei Wen,

Changyong Wen,

Chien‐Chiang Lee

et al.

Information Economics and Policy, Journal Year: 2022, Volume and Issue: 61, P. 101007 - 101007

Published: Oct. 23, 2022

Language: Английский

Citations

108

Does digital infrastructure cut carbon emissions in Chinese cities? DOI Open Access
Kaijie Tang, Gongyan Yang

Sustainable Production and Consumption, Journal Year: 2022, Volume and Issue: 35, P. 431 - 443

Published: Dec. 1, 2022

Language: Английский

Citations

108

A green path towards sustainable development: The impact of low-carbon city pilot on energy transition DOI
Chien‐Chiang Lee, Yi Feng,

Diyun Peng

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 115, P. 106343 - 106343

Published: Oct. 10, 2022

Language: Английский

Citations

105

The optimal behavior of renewable energy resources and government's energy consumption subsidy design from the perspective of green technology implementation DOI
Chien‐Chiang Lee, Jafar Hussain,

Yongxiu Chen

et al.

Renewable Energy, Journal Year: 2022, Volume and Issue: 195, P. 670 - 680

Published: June 15, 2022

Language: Английский

Citations

81

Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China DOI

Chengchao Lv,

Jie Song, Chien‐Chiang Lee

et al.

Economic Analysis and Policy, Journal Year: 2022, Volume and Issue: 76, P. 502 - 521

Published: Sept. 12, 2022

Language: Английский

Citations

79

Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI) DOI Creative Commons

Qiang Wang,

Yuanfan Li,

Rongrong Li

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 14, 2024

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method Moments (SYS-GMM) Dynamic Panel Threshold Models (DPTM) to analyze complex interactions between AI development key metrics. The estimated coefficients benchmark model show that significantly reduces footprints emissions while promoting transitions, with most substantial observed in followed by footprint reduction reduction. Nonlinear analysis indicates several insights: (i) a higher proportion industrial sector diminishes inhibitory effect but enhances its positive transitions; (ii) increased trade openness amplifies AI’s ability reduce promote (iii) benefits are more pronounced at levels development, enhancing (iv) as transition process deepens, effectiveness reducing increases, role further transitions decreases. enriches existing literature providing nuanced understanding offers robust scientific foundation for global policymakers develop sustainable management frameworks.

Language: Английский

Citations

79