Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102751 - 102751
Published: Nov. 1, 2024
Language: Английский
Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102751 - 102751
Published: Nov. 1, 2024
Language: Английский
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
73Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104191 - 104191
Published: Oct. 1, 2023
Language: Английский
Citations
55Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107395 - 107395
Published: Feb. 7, 2024
Language: Английский
Citations
25Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 25, 2025
Language: Английский
Citations
2Applied Energy, Journal Year: 2024, Volume and Issue: 365, P. 123245 - 123245
Published: April 22, 2024
Language: Английский
Citations
11Resources Policy, Journal Year: 2024, Volume and Issue: 92, P. 104973 - 104973
Published: April 11, 2024
Language: Английский
Citations
10Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 468, P. 143043 - 143043
Published: July 2, 2024
Language: Английский
Citations
10Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1410 - 1410
Published: Feb. 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.
Language: Английский
Citations
1Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 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
Language: Английский
Citations
7Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 4486 - 4504
Published: Jan. 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
Language: Английский
Citations
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