Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 14, 2024
Language: Английский
Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 14, 2024
Language: Английский
Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)
Published: Jan. 3, 2025
Abstract Marine fisheries constitute a crucial component of global green development, where artificial intelligence (AI) plays an essential role in enhancing economic efficiency associated with marine fisheries. This study utilizes panel data from 11 coastal provinces and municipalities China 2009 to 2020, employing the entropy method super-efficiency EBM model calculate AI index Based on these calculations, we utilize fixed effects models, moderation effect threshold models examine impact The reveals that: (i) From has significantly improved overall, while shown fluctuating trend, substantial regional disparities. (ii) enhances (iii) Green finance, trade openness, R&D investment act as moderating variables, accelerating development further improving (iv) varies across different intervals investment. These findings are for understanding advancing informatization strategy hold significant implications sustainable
Language: Английский
Citations
15Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124047 - 124047
Published: Jan. 14, 2025
Language: Английский
Citations
2International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 94, P. 103406 - 103406
Published: June 19, 2024
Language: Английский
Citations
10Frontiers in Environmental Economics, Journal Year: 2025, Volume and Issue: 3
Published: Jan. 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
Language: Английский
Citations
1Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108234 - 108234
Published: Jan. 1, 2025
Language: Английский
Citations
1Technology Analysis and Strategic Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17
Published: Feb. 3, 2025
Language: Английский
Citations
1Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: 85, P. 2207 - 2218
Published: March 1, 2025
Language: Английский
Citations
1Energy, Journal Year: 2024, Volume and Issue: 308, P. 132744 - 132744
Published: Aug. 8, 2024
Language: Английский
Citations
7International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104003 - 104003
Published: Feb. 1, 2025
Language: Английский
Citations
0Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122727 - 122727
Published: Feb. 1, 2025
Language: Английский
Citations
0