Research on the coupling mechanism and influencing factors of digital economy and green technology innovation in Chinese urban agglomerations DOI Creative Commons

Xuesi Zhong,

Ziyi Duan,

Chang Liu

et al.

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

Published: March 2, 2024

Abstract This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through analysis of model, spatial autocorrelation, multi-distance clustering analysis, kernel density grey correlation this study uncovers mechanism Chinese agglomerations. Data revealed a significant increase within However, there are noticeable imbalances trend. Additionally, distance highlights shift random distribution clustered characteristics. The polarization features vary among each agglomeration exhibit positive correlation. Factors such as economic sustainability, creative talent, policy support, impetus, technological support will affect China's Policy recommendations proposed foster development economy, promote coordinated growth beyond clusters, ultimately build ecological civilization that is both intelligent.

Language: Английский

Adaptive robust scheduling of a hydro/photovoltaic/pumped-storage hybrid system in day-ahead electricity and hydrogen markets DOI
Pan Li, Xiao Xu,

Junyong Liu

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 95, P. 104571 - 104571

Published: April 14, 2023

Language: Английский

Citations

23

How does digital transformation affect corporate social responsibility performance? From the dual perspective of internal drive and external governance DOI Open Access
Ziyuan Sun, Wang Wenjiao, Wei Wang

et al.

Corporate Social Responsibility and Environmental Management, Journal Year: 2023, Volume and Issue: 31(2), P. 1156 - 1176

Published: Sept. 24, 2023

Abstract Digital transformation has become a wave sweeping across the globe, affecting all industries with unprecedented speed and breadth, it is urgent to introduce digital into corporate social responsibility (CSR) field. This study aims investigate impact of on CSR performance its influencing mechanism. The findings are as follows: (1) can improve performance; (2) from dual perspective internal drive external governance, we figure out that improves by improving green management innovation analyst coverage; (3) further analysis shows differs under different resource endowments institutional environments (i.e., formal informal institutions). Specifically, this promoting effect only reflected incorporates more resources human resources, cultural employment economic resources), strong environmental enforcement or high media attention. In context transformation, enriches mechanism great practical significance for corporates, markets, governments other stakeholders. Meanwhile, guidance corporates fulfill their achieve sustainable development goals in era.

Language: Английский

Citations

23

Does digitalization support green transition in Chinese cities? Perspective from Metcalfe's Law DOI
Ruiyang Ma, Yi Lin, Boqiang Lin

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 425, P. 138769 - 138769

Published: Sept. 11, 2023

Language: Английский

Citations

22

Digital economy solutions towards carbon neutrality: The critical role of energy efficiency and energy structure transformation DOI
Chenchen Huang, Boqiang Lin

Energy, Journal Year: 2024, Volume and Issue: 306, P. 132524 - 132524

Published: July 20, 2024

Language: Английский

Citations

13

Research on the coupling mechanism and influencing factors of digital economy and green technology innovation in Chinese urban agglomerations DOI Creative Commons

Xuesi Zhong,

Ziyi Duan,

Chang Liu

et al.

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

Published: March 2, 2024

Abstract This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through analysis of model, spatial autocorrelation, multi-distance clustering analysis, kernel density grey correlation this study uncovers mechanism Chinese agglomerations. Data revealed a significant increase within However, there are noticeable imbalances trend. Additionally, distance highlights shift random distribution clustered characteristics. The polarization features vary among each agglomeration exhibit positive correlation. Factors such as economic sustainability, creative talent, policy support, impetus, technological support will affect China's Policy recommendations proposed foster development economy, promote coordinated growth beyond clusters, ultimately build ecological civilization that is both intelligent.

Language: Английский

Citations

11