Artificial intelligence and green transformation of manufacturing enterprises DOI
Chaobo Zhou, Haikuo Zhang,

Ji Ying

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104330 - 104330

Published: May 1, 2025

Language: Английский

Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China DOI
Xiaoyong Zhou, Gaochao Li, Qunwei Wang

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104087 - 104087

Published: March 1, 2025

Language: Английский

Citations

3
Reducing carbon emission at the corporate level: Does artificial intelligence matter? DOI
Yanchao Feng, Yuying Yan, Ke Shi

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107911 - 107911

Published: March 11, 2025

Language: Английский

Citations

2
Artificial Intelligence and Enterprise Green Innovation: Evidence from a Quasi-Natural Experiment in China DOI Open Access
Chunyan Zhao,

Linjing Wang

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2455 - 2455

Published: March 11, 2025

Against the backdrop of addressing global climate change, whether new generation information technology, centered on artificial intelligence (AI), can promote comprehensive green transformation and achieve “dual carbon” goal has become an important issue in China’s national development strategy. The research objective this paper is to explore causal relationship between AI innovation (GI). In study, we conduct a quasi-natural experiment using National New Generation Artificial Intelligence Innovation Development Pilot Zone (NAIPZ). On basis data from A-share-listed companies 2013 2022, use staggered difference-in-difference model study impact mechanism corporate GI. Research results show that improve GI enterprises. Mechanism analysis promotes enterprises by improving internal governance optimizing human capital, while industry competition increase promotion effect Heterogeneity indicate particularly prominent eastern region, high-tech industries, non-state-owned This addresses question NAIPZ enterprises, thereby providing empirical evidence policy references for accelerating integration China.

Language: Английский

Citations

0
Artificial intelligence and green transformation of manufacturing enterprises DOI
Chaobo Zhou, Haikuo Zhang,

Ji Ying

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104330 - 104330

Published: May 1, 2025

Language: Английский

Citations

0