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

Effects of digital economy on carbon emission reduction: New evidence from China DOI
Ming Yi,

Yafen Liu,

Mingyue Selena Sheng

и другие.

Energy Policy, Год журнала: 2022, Номер 171, С. 113271 - 113271

Опубликована: Окт. 1, 2022

Язык: Английский

Процитировано

436

Digital economy: An innovation driving factor for low-carbon development DOI
Jinning Zhang, Yanwei Lyu, Yutao Li

и другие.

Environmental Impact Assessment Review, Год журнала: 2022, Номер 96, С. 106821 - 106821

Опубликована: Июнь 4, 2022

Язык: Английский

Процитировано

416

Assessing the digital economy and its carbon-mitigation effects: The case of China DOI
Jianda Wang, Kangyin Dong, Xiucheng Dong

и другие.

Energy Economics, Год журнала: 2022, Номер 113, С. 106198 - 106198

Опубликована: Июль 29, 2022

Язык: Английский

Процитировано

332

The emerging driving force of energy consumption in China: Does digital economy development matter? DOI
Yan Xue, Chang Tang, Haitao Wu

и другие.

Energy Policy, Год журнала: 2022, Номер 165, С. 112997 - 112997

Опубликована: Май 4, 2022

Язык: Английский

Процитировано

278

Digital finance and corporate ESG performance: Empirical evidence from listed companies in China DOI
Xiaohang Ren, Gudian Zeng, Yang Zhao

и другие.

Pacific-Basin Finance Journal, Год журнала: 2023, Номер 79, С. 102019 - 102019

Опубликована: Март 28, 2023

Язык: Английский

Процитировано

217

Digitalization and carbon emissions: How does digital city construction affect china's carbon emission reduction? DOI
Zhen Yang, Weijun Gao, Qing Han

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104201 - 104201

Опубликована: Сен. 25, 2022

Язык: Английский

Процитировано

206

Digital economy, entrepreneurship and energy efficiency DOI

Lianghu Wang,

Jun Shao

Energy, Год журнала: 2023, Номер 269, С. 126801 - 126801

Опубликована: Янв. 26, 2023

Язык: Английский

Процитировано

180

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

Hongchuan Yan

и другие.

Resources Policy, Год журнала: 2023, Номер 81, С. 103396 - 103396

Опубликована: Фев. 24, 2023

Язык: Английский

Процитировано

157

Digital economy and carbon dioxide emissions: Examining the role of threshold variables DOI Creative Commons
Qiang Wang, Jiayi Sun, Uğur Korkut Pata

и другие.

Geoscience Frontiers, Год журнала: 2023, Номер 15(3), С. 101644 - 101644

Опубликована: Июнь 5, 2023

Considering that previous literature has mainly focused on the impact of digital economy (DE) environmental degradation, ignoring role natural resources, this study uses two key factors (natural resource rent and anticorruption regulation) as threshold variables to reveal effect resources association between DE carbon dioxide (CO2) emissions. In doing so, covers 97 countries, annual data 2003 2019, applies a panel model. The outcomes present influence CO2 emissions single-threshold (i.e., there is an inverted U-shaped link emissions) when variable. Specifically, significantly increases at low-to-medium level, but suppresses growth exceeds threshold. Moreover, drives overall regulation variable are double thresholds for its rise in initially exacerbates contribution then weakens it over time. Based results, proposes various implications, such formulating development strategy, considering DE, strengthening anti-corruption efforts field protection.

Язык: Английский

Процитировано

156

Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms DOI
Yaya Li, Yuru Zhang, An Pan

и другие.

Technology in Society, Год журнала: 2022, Номер 70, С. 102034 - 102034

Опубликована: Июнь 21, 2022

Язык: Английский

Процитировано

150