Omega, Год журнала: 2024, Номер unknown, С. 103248 - 103248
Опубликована: Ноя. 1, 2024
Язык: Английский
Omega, Год журнала: 2024, Номер unknown, С. 103248 - 103248
Опубликована: Ноя. 1, 2024
Язык: Английский
Technological Forecasting and Social Change, Год журнала: 2024, Номер 206, С. 123560 - 123560
Опубликована: Июль 6, 2024
Язык: Английский
Процитировано
16Innovation and Green Development, Год журнала: 2025, Номер 4(1), С. 100204 - 100204
Опубликована: Янв. 18, 2025
Язык: Английский
Процитировано
1Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Май 7, 2024
Abstract Utilizing panel data from 30 Chinese provinces, this research examines the non-linear relationship between regional environmental, social, and governance (ESG) performance carbon emissions (CE) viewpoint of green credit. The study reveals a single threshold effect ESG CE, with credit acting as variable. When amount in region exceeds threshold, growth rate CE that begins to decline higher scores. Furthermore, acts catalyst, playing negative moderating role validated by both regression fixed effects models on data. Green indirectly influences supporting innovation, thus facilitating transition greener economic development framework. Lastly, disparities are found influence CE. In regions high performance, impact is smaller, while low more significant. findings offer theoretical backing for policymakers regarding efficacy achieving neutrality objectives, valuable strategic recommendations diversified formulation strategies national provincial scales. Regional heterogeneity test results provide support formulating policies encourage provinces performance.
Язык: Английский
Процитировано
7Energy Policy, Год журнала: 2024, Номер 192, С. 114241 - 114241
Опубликована: Июнь 22, 2024
Язык: Английский
Процитировано
7IIUM Law Journal, Год журнала: 2024, Номер 32(1), С. 103 - 152
Опубликована: Май 31, 2024
Artificial Intelligence (AI) is reshaping international trade, presenting both challenges and opportunities for existing global legal frameworks. This research explores the intersection of AI trade laws, focusing on key areas such as data protection, intellectual property rights (IPR), barriers, regulatory harmonisation. The cross-border flow in activities raises concerns about privacy necessitating balance between liberalisation compliance. Moreover, emergence AI-generated assets poses novel questions regarding ownership, liability, enforcement mechanisms. Discriminatory practices barriers fueled by AI-driven automation predictive analytics threaten market access fair competition. Harmonising approaches to governance imperative promote interoperability, innovation, integration. Despite these challenges, offers significant enhance facilitation, efficiency, dispute resolution Embracing technologies can streamline supply chains, reduce transaction costs, expedite customs procedures. Additionally, mechanisms offer innovative solutions resolve disputes promptly efficiently. To address complexities, policymakers must frameworks, IPR harmonisation, foster cooperation at domestic levels. By embracing transformative potential while upholding fundamental principles fairness transparency, stakeholders build a more resilient inclusive trading system. qualitative methodology has been applied following article.
Язык: Английский
Процитировано
4Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105810 - 105810
Опубликована: Сен. 12, 2024
Язык: Английский
Процитировано
4Energy Policy, Год журнала: 2024, Номер 197, С. 114432 - 114432
Опубликована: Ноя. 30, 2024
Язык: Английский
Процитировано
4Polish Journal of Environmental Studies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 16, 2025
Based on the panel data of 30 provinces in China from 2011 to 2021, this paper constructs two index systems measure China's carbon productivity (CP) and level scientific technological innovation (STI) respectively.The two-way fixed effect model, spatial Durbin threshold model are used explore impact STI CP.The study found that: (1) can not only promote improvement local CP, but also have a positive spillover CP surrounding areas;(2) The influence has regional differences, eastern region significant both neighboring provinces; is obvious central western regions.(3) characteristic "marginal increasing" there single with R&D intensity as variables.The research conclusions provide empirical evidence for development lowcarbon economy, implications implementation coordinated innovation-driven strategies.
Язык: Английский
Процитировано
0International Review of Economics & Finance, Год журнала: 2025, Номер 98, С. 103941 - 103941
Опубликована: Фев. 7, 2025
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0