Unpacking the green potential: How does supply chain digitalization affect corporate carbon emissions? — Evidence from supply chain innovation and application pilots in China DOI
Yongchang Shen, Zongtao Tian, Xueli Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124147 - 124147

Published: Jan. 16, 2025

Language: Английский

Can artificial intelligence help accelerate the transition to renewable energy? DOI
Zhao Qian, Lu Wang, Sebastian Emanuel Stan

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 134, P. 107584 - 107584

Published: April 25, 2024

Language: Английский

Citations

16
U-shaped relationship between digitalization and low-carbon economy efficiency: Mediation and spillover effects DOI
Xiaoyong Zhou,

Gaochao Li,

Qunwei Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 458, P. 142535 - 142535

Published: May 9, 2024

Language: Английский

Citations

16
Optimizing AI-based emission reduction efficiency and subsidies in supply chain management: A sensitivity-based approach with duopoly game dynamics DOI
Jafar Hussain, Chien‐Chiang Lee, Benjamin Lev

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144991 - 144991

Published: Feb. 1, 2025

Language: Английский

Citations

3
Green innovation and carbon emission reduction: Empirical insights from spatial durbin and dynamic threshold models DOI

Qiuhan Zhao,

Liangxian Fan, Honglin Chen

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 103997 - 103997

Published: Feb. 1, 2025

Language: Английский

Citations

2
Artificial Intelligence and Carbon Emissions in Manufacturing Firms: The Moderating Role of Green Innovation DOI Open Access

Yixuan Chen,

Shanyue Jin

Processes, Journal Year: 2023, Volume and Issue: 11(9), P. 2705 - 2705

Published: Sept. 10, 2023

Carbon emissions have gained worldwide attention in the industrial era. As a key carbon-emitting industry, achieving net-zero carbon manufacturing sector is vital to mitigating negative effects of climate change and sustainable development. The rise intelligent technologies has driven structural transformations that may help achieve reduction. Artificial intelligence (AI) technology an important part digitalization, providing new technological tools directions for low development enterprises. This study selects Chinese A-share listed companies industry from 2012 2021 as research objects uses fixed-effects regression model relationship between AI emissions. clarifies significance enterprise applications realizing reduction explores regulatory mechanism perspective innovation effect. results show application positively impacts Simultaneously, green innovation, management product play moderating roles; other words, strengthens effect on necessity enriches theories related

Language: Английский

Citations

36
An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence DOI
Tao Ding, Hao Li, Liu Li

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 136, P. 107748 - 107748

Published: June 26, 2024

Language: Английский

Citations

13
Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations DOI
Lei Liu, Zeeshan Rasool, Sajid Ali

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102460 - 102460

Published: Jan. 7, 2024

Language: Английский

Citations

12
Investigating the asymmetric impact of artificial intelligence on renewable energy under climate policy uncertainty DOI

Lihui Tian,

Xin Li, Cheng-Wen Lee

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 137, P. 107809 - 107809

Published: July 31, 2024

Language: Английский

Citations

8
Can artificial intelligence technology reduce carbon emissions? A global perspective DOI
Qingfeng Cao, Chi Chen,

Junjie Shan

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108285 - 108285

Published: Feb. 1, 2025

Language: Английский

Citations

1
The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises DOI
Tingting Liu, B.B. ZHOU

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: 45(5), P. 2727 - 2738

Published: March 6, 2024

Abstract Artificial intelligence (AI) plays a crucial role in addressing resource and environmental constraints achieving sustainable economic social development. This study examines the impact mechanisms of AI on green low‐carbon transformation enterprises using sample companies listed Shanghai Shenzhen stock exchanges from 2009 to 2021. The research findings indicate that has capability effectively mitigate corporate carbon emissions (CCE) enhance level innovation (GI) enterprises. Mechanism analysis reveals energy consumption mediating relationship between CCE. Heterogeneity inhibitory effect CCE is more pronounced private non‐heavy polluting industries. However, GI greater state‐owned heavy‐polluting sheds light influence enterprises, as well its transmission mechanisms. It provides theoretical empirical insights for promoting GI, reducing emissions, improving efficiency

Language: Английский

Citations

7