Resources Policy, Год журнала: 2024, Номер 92, С. 105003 - 105003
Опубликована: Апрель 25, 2024
Язык: Английский
Resources Policy, Год журнала: 2024, Номер 92, С. 105003 - 105003
Опубликована: Апрель 25, 2024
Язык: Английский
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
76Resources Policy, Год журнала: 2023, Номер 86, С. 104191 - 104191
Опубликована: Окт. 1, 2023
Язык: Английский
Процитировано
56Energy Economics, Год журнала: 2024, Номер 131, С. 107395 - 107395
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
25Environment Development and Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 25, 2025
Язык: Английский
Процитировано
2Applied Energy, Год журнала: 2024, Номер 365, С. 123245 - 123245
Опубликована: Апрель 22, 2024
Язык: Английский
Процитировано
13Resources Policy, Год журнала: 2024, Номер 92, С. 104973 - 104973
Опубликована: Апрель 11, 2024
Язык: Английский
Процитировано
11Journal of Cleaner Production, Год журнала: 2024, Номер 468, С. 143043 - 143043
Опубликована: Июль 2, 2024
Язык: Английский
Процитировано
10Sustainability, 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
1Scientific 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
7Sustainable 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
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