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

Asif Razzaq

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(3), С. 2583 - 2599

Опубликована: Окт. 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

Язык: Английский

Digital transformation and environmental performance: Evidence from Chinese resource‐based enterprises DOI
Qiong Xu, Xin Li, Fei Guo

и другие.

Corporate Social Responsibility and Environmental Management, Год журнала: 2023, Номер 30(4), С. 1816 - 1840

Опубликована: Фев. 3, 2023

Abstract Digitalization is of great significance for resource‐based enterprises to break through the dual constraints resource and environment. Based on data China's A‐share listed enterprises, this study empirically examines direct effect transmission mechanism digital transformation enterprises' environmental performance. The finds that significantly enhances performance by stimulating green technology innovation, accelerating human capital accumulation, increasing information disclosure, strengthening governance. state‐owned, large‐size high‐tech more prominently affected transformation. In eastern region areas with higher regulation, impact significant. This provides targeted suggestions make full use dividends achieve high‐quality development.

Язык: Английский

Процитировано

94

How does heterogeneous environmental regulation affect net carbon emissions: Spatial and threshold analysis for China DOI
Xiaoling Huang, Peng Tian

Journal of Environmental Management, Год журнала: 2023, Номер 330, С. 117161 - 117161

Опубликована: Янв. 3, 2023

Язык: Английский

Процитировано

88

What are the roles of green technology innovation and ICT employment in lowering carbon intensity in China? A city-level analysis of the spatial effects DOI
Hongye Sun

Resources Conservation and Recycling, Год журнала: 2022, Номер 186, С. 106550 - 106550

Опубликована: Июль 26, 2022

Язык: Английский

Процитировано

87

Energy internet, digital economy, and green economic growth: Evidence from China DOI
Weilong Wang, Xiaodong Yang, Jianhong Cao

и другие.

Innovation and Green Development, Год журнала: 2022, Номер 1(2), С. 100011 - 100011

Опубликована: Ноя. 25, 2022

Язык: Английский

Процитировано

82

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

Asif Razzaq

и другие.

Sustainable Development, Год журнала: 2023, Номер 32(3), С. 2583 - 2599

Опубликована: Окт. 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

Язык: Английский

Процитировано

81