Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 69, С. 103883 - 103883
Опубликована: Июль 19, 2024
Язык: Английский
Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 69, С. 103883 - 103883
Опубликована: Июль 19, 2024
Язык: Английский
Sustainable Development, Год журнала: 2024, Номер unknown
Опубликована: Июль 4, 2024
Abstract Efficient energy utilization stands as a linchpin for national security and sustainable development, particularly in developing countries. The transformative potential of big data driving regional economic growth is pivotal advancing the goals sustainability carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate enduring influence establishing Big Data Comprehensive Experimental Areas (BDCEAs) on efficiency within experimental zones from 2008 2020. Our findings underscore significant role BDCEAs fostering practices contributing global pursuit harmonious coexistence between humanity nature. Through rigorous analysis, we reveal variations, emphasizing substantial impact specific areas, while also exploring underlying mechanisms industrial structure upgrading, technological innovation, resource allocation optimization. research enriches understanding factors influencing efficiency, providing valuable insights leveraging digital economy promote greener more future.
Язык: Английский
Процитировано
9International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104087 - 104087
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123820 - 123820
Опубликована: Окт. 22, 2024
Язык: Английский
Процитировано
6Environment Development and Sustainability, Год журнала: 2025, Номер unknown
Опубликована: Янв. 4, 2025
Язык: Английский
Процитировано
0Frontiers in Environmental Economics, Год журнала: 2025, Номер 3
Опубликована: Янв. 9, 2025
Artificial intelligence (AI) plays a pivotal role in the development of green economy. This paper examines impact artificial on economic efficiency (GEE) using panel data from 30 provinces China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. The empirical results indicate that AI significantly enhances GEE. However, marginal effect GEE influenced by different governance approaches. In terms policy governance, excessive market-based environmental regulation (MER) diminishes AI, while stronger administrative-command regulations (CER) informal (IER) amplify it. Regarding technological substantive innovations (SUG) reduce AI's effect, whereas symbolic (SYG) may increase Notably, threshold SUG surpasses SYG. legal both administrative judicial intellectual property protections though protection (AIP) exhibits more significant than (JIP). These findings offer practical insights for optimizing strategies maximize promoting highlight need balanced sustainable development. Policymakers should tailor encourage regional collaboration harness spatial spillover effects. Enterprises can leverage AI-driven align growth with ecological goals, fostering coordinated
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 134140 - 134140
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Energy Economics, Год журнала: 2025, Номер unknown, С. 108349 - 108349
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Journal of Environmental Management, Год журнала: 2025, Номер 378, С. 124686 - 124686
Опубликована: Март 5, 2025
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 135298 - 135298
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Economic Change and Restructuring, Год журнала: 2025, Номер 58(2)
Опубликована: Март 13, 2025
Язык: Английский
Процитировано
0