Research on the spatial effect of digital economy development on urban carbon reduction DOI

Zhuoxi Yu,

Shan Liu, Siqi Li

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 357, С. 120764 - 120764

Опубликована: Апрель 1, 2024

Язык: Английский

The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter? DOI
Xiaoli Hao, Yuhong Li, Siyu Ren

и другие.

Journal of Environmental Management, Год журнала: 2022, Номер 325, С. 116504 - 116504

Опубликована: Окт. 20, 2022

Язык: Английский

Процитировано

470

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

Hao Zhang

и другие.

Economic Modelling, Год журнала: 2023, Номер 120, С. 106194 - 106194

Опубликована: Янв. 13, 2023

Язык: Английский

Процитировано

361

Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises DOI
Juntao Du, Zhiyang Shen,

Malin Song

и другие.

Energy Economics, Год журнала: 2023, Номер 120, С. 106572 - 106572

Опубликована: Фев. 22, 2023

Язык: Английский

Процитировано

133

Toward low‐carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring DOI

Lisi Tan,

Zhuodong Yang, Muhammad Irfan

и другие.

Business Strategy and the Environment, Год журнала: 2023, Номер 33(3), С. 2159 - 2172

Опубликована: Окт. 11, 2023

Abstract Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, adopting production consumption patterns. Simultaneously, evolving digital economy acknowledged as driver in optimizing structure. Therefore, can reshape structure lead to low‐carbon development? The main purpose this paper examine mediating role upgrading relationship between development. Its ultimate explore more possible paths achieve This builds regression model based on data cities. We found that directly promote development, conclusion still holds after endogeneity discussion robustness testing. Additionally, thus meaning effective mechanism provides empirical evidence positive externalities establishes basic research framework “digital → development.”

Язык: Английский

Процитировано

111

How does digitalization drive carbon emissions? The inverted U-shaped effect in China DOI

Ruijing Zheng,

Ge Wu, Yu Cheng

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 102, С. 107203 - 107203

Опубликована: Июль 20, 2023

Язык: Английский

Процитировано

109

Unleashing the potential: Exploring the nexus between low-carbon digital economy and regional economic-social development in China DOI
Zeyu Xing, Jing Huang, Jing Wang

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 413, С. 137552 - 137552

Опубликована: Май 22, 2023

Язык: Английский

Процитировано

98

Research on the nexus between the digital economy and carbon emissions -Evidence at China's province level DOI
Li Chen,

LU Yuan-quan,

Meng Yuan

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 413, С. 137484 - 137484

Опубликована: Май 15, 2023

Язык: Английский

Процитировано

93

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China DOI Creative Commons
Guangqin Li, Xiaoge Li,

Lingzhi Huo

и другие.

Heliyon, Год журнала: 2023, Номер 9(1), С. e12875 - e12875

Опубликована: Янв. 1, 2023

The digital economy is pushing more efficient and greener production innovation processes, as well quickening the mobility of factors, which would have a critical impact on improving industrial green efficiency. Based panel data 30 Chinese provinces from 2005 to 2019, this study established comprehensive index system assess level provincial development, adopted SBM-DEA model including non-expected output evaluate efficiency, then Global Moran's I Local test whether there spatial autocorrelation, followed by Durbin (SDM) mediating effect investigate direct impact, spillover indirect transmission mechanism results show that: both development efficiency positive autocorrelation; not only has significant role in promoting but also effect; can improve manufacturing structure upgrading stimulating enterprises' technology innovation. findings paper are helpful for policymakers clarify relationship between provide favorable policy directions developing promote

Язык: Английский

Процитировано

86

Planned economic growth and controlled energy demand: How do regional growth targets affect energy consumption in China? DOI
Jingxia Chai, Haitao Wu,

Yu Hao

и другие.

Technological Forecasting and Social Change, Год журнала: 2022, Номер 185, С. 122068 - 122068

Опубликована: Сен. 28, 2022

Язык: Английский

Процитировано

78

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

73