Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China DOI
Jianlong Wang, Yong Liu, Weilong Wang

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102751 - 102751

Published: Nov. 1, 2024

Language: Английский

Roadmap to achieving sustainable development: Does digital economy matter in industrial green transformation? DOI
Xiaodong Yang, Yang Xu,

Asif Razzaq

et al.

Sustainable Development, Journal Year: 2023, Volume and Issue: 32(3), P. 2583 - 2599

Published: Oct. 27, 2023

Abstract The rapid advancements in the digital economy have created numerous opportunities and solutions for industrial green transformation. However, complex relationship between these two has received relatively less attention. Therefore, this study analyses how impacts transformation across 30 Chinese provinces. empirical findings highlight economy's significant role driving Within dynamic framework, crucial operational mechanisms been identified: heightened public awareness of environmental issues vigorous innovation technologies. It becomes evident that can energize sustain momentum Notably, influence is most pronounced eastern‐central China. its impact western China appears weaker, especially at higher quantiles. We observe a strong correlation evolution terms space time. Higher spatiotemporal regression coefficients are primarily found areas south Hu line, while lower values more common northern regions. These provide insights into be strategically applied to drive

Language: Английский

Citations

73

How does natural resource dependence influence industrial green transformation in China? Appraising underlying mechanisms for sustainable development at regional level DOI
Xiaodong Yang, Xia Liu, Qiying Ran

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104191 - 104191

Published: Oct. 1, 2023

Language: Английский

Citations

55

New media environment, green technological innovation and corporate productivity: Evidence from listed companies in China DOI

Jianhua Sun,

Shaobo Hou,

Yuxia Deng

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107395 - 107395

Published: Feb. 7, 2024

Language: Английский

Citations

25

Eco-intelligent production: intelligent manufacturing and industrial green transition DOI
Xiaoli Hao, Yuhong Li, Kun Wang

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Language: Английский

Citations

2

Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities DOI
Boqiang Lin, Chongchong Xu

Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123245 - 123245

Published: April 22, 2024

Language: Английский

Citations

11

Heterogenous effects of inclusive digital economy and resource distribution mismatch on corporate ESG performance in China DOI

Yiming Cheng,

Bo Zeng, Weixing Lin

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 104973 - 104973

Published: April 11, 2024

Language: Английский

Citations

10

Impact of the Belt and Road Initiative on enterprise green transformation DOI
Lan Wang, Zhonghua Cheng

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 468, P. 143043 - 143043

Published: July 2, 2024

Language: Английский

Citations

10

Green Technology Innovation and Corporate ESG—Evidence Based on Listed Companies in China DOI Open Access
Junling Huang, Yueqi Sun, Sisi Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1410 - 1410

Published: Feb. 9, 2025

As the attention on sustainable corporate behavior intensifies, green technological innovation, as a key tool for achieving environmentally and socially development goals, has gradually become focal point in many nations. This study investigates impact of technology innovation ESG performance using panel data from Chinese listed companies (2013–2022). The findings reveal that significantly enhances outcomes, mediated by digital transformation negatively moderated financial constraints. effect is particularly significant state-owned enterprises firms eastern China. research offers valuable theoretical foundations, actionable advice, policy suggestions to assist boosting their capabilities, refining practices, enhancing overall performance.

Language: Английский

Citations

1

The impact of peer effect of industrial robot application on enterprise carbon emission reduction DOI Creative Commons
Jinhua Guo, Shuaiwen Chang, Mengnan Guo

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: May 27, 2024

Abstract The application of intelligent technology, such as industrial robots, is related to the environmental governance effectiveness enterprises and realization goal “carbon peak carbon neutrality”. Due their similar external environments, driven by economic rationality, peer will mimic robotics applications other enterprises, which in turn affect enterprises' emissions. However, little literature has explored impact robot on enterprise emissions from perspective effect. Based data Shanghai Shenzhen A-share manufacturing listed China 2011 2021, this paper explores emission reduction It found that industry effect regional brought robots are conducive promoting enterprises. Among them, promotes enhancing green innovation ability while improving service level further degree competition regulation have inverted U-shaped moderating effects effect, reduction, respectively. results enrich research provide policy implications for performance

Language: Английский

Citations

7

Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China? DOI
Zi Hui Yin,

Wei Ping Zeng

Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 4486 - 4504

Published: Jan. 31, 2024

Abstract Intelligent industrial transformation and technological innovation fuel China's sustainable development. We examine whether intelligence improve economic growth environmental quality using provincial data from China 2006 to 2020. used panel co‐integration techniques (fully modified OLS dynamic OLS) for analysis. The results showed that drives quality, whereas primarily promotes growth. also found green improves quality. Granger causality technique based on the vector error‐correction model a strong interrelationship among intelligence, innovation, growth, Furthermore, heterogeneity analysis shows effects interrelationships of variables interest vary significantly by region in China. To achieve development, government should accelerate invest environment‐friendly activities, focus co‐development

Language: Английский

Citations

6