Asymmetric effects of heterogeneous environmental standards on green technology innovation: Evidence from China DOI
Le Xu, Lili Yang, Ding Li

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 117, P. 106479 - 106479

Published: Dec. 14, 2022

Language: Английский

Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities DOI
Bingnan Guo, Yu Wang,

Hao Zhang

et al.

Economic Modelling, Journal Year: 2023, Volume and Issue: 120, P. 106194 - 106194

Published: Jan. 13, 2023

Language: Английский

Citations

357
Natural resource consumption and industrial green transformation: Does the digital economy matter? DOI
Qiying Ran, Xiaodong Yang,

Hongchuan Yan

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 81, P. 103396 - 103396

Published: Feb. 24, 2023

Language: Английский

Citations

150
Does digital finance matter for corporate green investment? Evidence from heavily polluting industries in China DOI
Qian Ding,

Jianbai Huang,

Jinyu Chen

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 117, P. 106476 - 106476

Published: Dec. 14, 2022

Language: Английский

Citations

133
Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China DOI

Maogang Tang,

Yinlin Liu,

Fengxia Hu

et al.

Energy Economics, Journal Year: 2023, Volume and Issue: 128, P. 107135 - 107135

Published: Oct. 30, 2023

Language: Английский

Citations

129
Digital finance and corporate financial fraud DOI

Guanglin Sun,

Ting Li,

Yongfang Ai

et al.

International Review of Financial Analysis, Journal Year: 2023, Volume and Issue: 87, P. 102566 - 102566

Published: Feb. 10, 2023

Language: Английский

Citations

96
Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects DOI

Qiang Wang,

Tingting Sun,

Rongrong Li

et al.

Energy & Environment, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 25, 2023

This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within context of sustainable development goals. As societies strive to achieve sustainability, understanding dynamics technological advancements environmental progress becomes paramount. Drawing from panel data encompassing 51 countries 2000 2019, this study employs fixed-effects models, mediated effects spatial Durbin models meticulously examine influence AI on innovation. The empirical findings reveal a robust significantly positive correlation innovation, highlighting critical role in fostering Heterogeneity analysis across developed developing economies delineates variations impact shedding light economic levels financial structures. Developed nations showcase more pronounced AI-green compared their counterparts, complexities technology adoption distinct landscapes. Moreover, delves into transmission mechanisms underlying nexus, revealing mediating roles industrial structure human capital. Industrial upgrading enhancement capital emerge as crucial pathways through which indirectly stimulates Spatial analyses reveals relevance globally, emphasizing AI's substantial not only domestic spheres but also neighboring regions. There are significant direct, indirect, total its spillover characteristics catalytic it plays driving collaborative global scale. research contributes nuanced insights interplay providing foundation for policymakers, businesses, researchers comprehend multifaceted dimensions interventions emphasize imperative efforts utilizing potential propel thereby advancing sustainability agendas.

Language: Английский

Citations

92
Role of green finance in resource efficiency and green economic growth DOI
Jiaqi Xu, Shengxiang She,

Pengpeng Gao

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 81, P. 103349 - 103349

Published: Feb. 6, 2023

Language: Английский

Citations

84
Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises DOI
Qiang Gao, Changming Cheng,

Guanglin Sun

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122567 - 122567

Published: April 18, 2023

Language: Английский

Citations

82
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

72
The impact of digital transformation on enterprise green innovation DOI

Chao Xu,

Guanglin Sun,

Tao Kong

et al.

International Review of Economics & Finance, Journal Year: 2023, Volume and Issue: 90, P. 1 - 12

Published: Nov. 8, 2023

Language: Английский

Citations

68