Omega, Journal Year: 2024, Volume and Issue: unknown, P. 103248 - 103248
Published: Nov. 1, 2024
Language: Английский
Omega, Journal Year: 2024, Volume and Issue: unknown, P. 103248 - 103248
Published: Nov. 1, 2024
Language: Английский
Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123560 - 123560
Published: July 6, 2024
Language: Английский
Citations
16Innovation and Green Development, Journal Year: 2025, Volume and Issue: 4(1), P. 100204 - 100204
Published: Jan. 18, 2025
Language: Английский
Citations
1Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 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.
Language: Английский
Citations
7Energy Policy, Journal Year: 2024, Volume and Issue: 192, P. 114241 - 114241
Published: June 22, 2024
Language: Английский
Citations
7IIUM Law Journal, Journal Year: 2024, Volume and Issue: 32(1), P. 103 - 152
Published: May 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.
Language: Английский
Citations
4Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105810 - 105810
Published: Sept. 12, 2024
Language: Английский
Citations
4Energy Policy, Journal Year: 2024, Volume and Issue: 197, P. 114432 - 114432
Published: Nov. 30, 2024
Language: Английский
Citations
4Polish Journal of Environmental Studies, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 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.
Language: Английский
Citations
0International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: 98, P. 103941 - 103941
Published: Feb. 7, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0