Natural resources, economic complexity and growth nexus: Role of digital governance in addressing the resource curse DOI
Jun Li,

Wei He,

Guilong Li

и другие.

Resources Policy, Год журнала: 2024, Номер 92, С. 105003 - 105003

Опубликована: Апрель 25, 2024

Язык: Английский

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

76

How does natural resource dependence influence industrial green transformation in China? Appraising underlying mechanisms for sustainable development at regional level DOI
Xiaodong Yang, Xia Liu, Qiying Ran

и другие.

Resources Policy, Год журнала: 2023, Номер 86, С. 104191 - 104191

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

56

New media environment, green technological innovation and corporate productivity: Evidence from listed companies in China DOI

Jianhua Sun,

Shaobo Hou,

Yuxia Deng

и другие.

Energy Economics, Год журнала: 2024, Номер 131, С. 107395 - 107395

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

25

Eco-intelligent production: intelligent manufacturing and industrial green transition DOI
Xiaoli Hao, Yuhong Li, Kun Wang

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 25, 2025

Язык: Английский

Процитировано

2

Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities DOI
Boqiang Lin, Chongchong Xu

Applied Energy, Год журнала: 2024, Номер 365, С. 123245 - 123245

Опубликована: Апрель 22, 2024

Язык: Английский

Процитировано

13

Heterogenous effects of inclusive digital economy and resource distribution mismatch on corporate ESG performance in China DOI

Yiming Cheng,

Bo Zeng, Weixing Lin

и другие.

Resources Policy, Год журнала: 2024, Номер 92, С. 104973 - 104973

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

11

Impact of the Belt and Road Initiative on enterprise green transformation DOI
Lan Wang, Zhonghua Cheng

Journal of Cleaner Production, Год журнала: 2024, Номер 468, С. 143043 - 143043

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

10

Green Technology Innovation and Corporate ESG—Evidence Based on Listed Companies in China DOI Open Access
Junling Huang, Yueqi Sun, Sisi Zhang

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1410 - 1410

Опубликована: Фев. 9, 2025

As the attention on sustainable corporate behavior intensifies, green technological innovation, as a key tool for achieving environmentally and socially development goals, has gradually become focal point in many nations. This study investigates impact of technology innovation ESG performance using panel data from Chinese listed companies (2013–2022). The findings reveal that significantly enhances outcomes, mediated by digital transformation negatively moderated financial constraints. effect is particularly significant state-owned enterprises firms eastern China. research offers valuable theoretical foundations, actionable advice, policy suggestions to assist boosting their capabilities, refining practices, enhancing overall performance.

Язык: Английский

Процитировано

1

The impact of peer effect of industrial robot application on enterprise carbon emission reduction DOI Creative Commons
Jinhua Guo, Shuaiwen Chang, Mengnan Guo

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Май 27, 2024

Abstract The application of intelligent technology, such as industrial robots, is related to the environmental governance effectiveness enterprises and realization goal “carbon peak carbon neutrality”. Due their similar external environments, driven by economic rationality, peer will mimic robotics applications other enterprises, which in turn affect enterprises' emissions. However, little literature has explored impact robot on enterprise emissions from perspective effect. Based data Shanghai Shenzhen A-share manufacturing listed China 2011 2021, this paper explores emission reduction It found that industry effect regional brought robots are conducive promoting enterprises. Among them, promotes enhancing green innovation ability while improving service level further degree competition regulation have inverted U-shaped moderating effects effect, reduction, respectively. results enrich research provide policy implications for performance

Язык: Английский

Процитировано

7

Path to sustainable development: Can industrial intelligence and technological innovation balance economic growth and environmental quality in China? DOI
Zi Hui Yin,

Wei Ping Zeng

Sustainable Development, Год журнала: 2024, Номер 32(5), С. 4486 - 4504

Опубликована: Янв. 31, 2024

Abstract Intelligent industrial transformation and technological innovation fuel China's sustainable development. We examine whether intelligence improve economic growth environmental quality using provincial data from China 2006 to 2020. used panel co‐integration techniques (fully modified OLS dynamic OLS) for analysis. The results showed that drives quality, whereas primarily promotes growth. also found green improves quality. Granger causality technique based on the vector error‐correction model a strong interrelationship among intelligence, innovation, growth, Furthermore, heterogeneity analysis shows effects interrelationships of variables interest vary significantly by region in China. To achieve development, government should accelerate invest environment‐friendly activities, focus co‐development

Язык: Английский

Процитировано

6