Will artificial intelligence make energy cleaner? Evidence of nonlinearity

Applied Energy, Journal Year: 2024, Volume and Issue: 363, P. 123081 - 123081

Published: March 26, 2024

Language: Английский

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Spatio-temporal evolution and drivers of coupling coordination between digital infrastructure and inclusive green growth: Evidence from the Yangtze River economic belt

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124416 - 124416

Published: Feb. 8, 2025

Language: Английский

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Interaction mechanisms of urban ecosystem resilience based on pressure-state-response framework: A case study of the Yangtze River Delta

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112263 - 112263

Published: June 22, 2024

Language: Английский

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Towards Ecological Sustainability: The Progress and Spatio-temporal Evolution of Green Development in China

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144912 - 144912

Published: Jan. 1, 2025

Language: Английский

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Blessing or curse? The effect of population aging on renewable energy

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135279 - 135279

Published: Feb. 1, 2025

Language: Английский

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Spatio-Temporal Evolution of Ecological Resilience in Ecologically Fragile Areas and Its Influencing Factors: A Case Study of the Wuling Mountains Area, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3671 - 3671

Published: April 27, 2024

The ecological environment of the Wuling Mountains region has been impacted by climate change and economic development, necessitating immediate reinforcement protection restoration measures. study utilized normalized vegetation index (NDVI) as a proxy for resilience. NDVI data from 2000 to 2020 were employed compute resilience area examine its spatial temporal evolution well factors influencing it. findings indicate that: (1) increased in Guizhou, Chongqing, Hunan sub-areas but decreased Hubei sub-area. (2) varies significantly Hubei, sub-regions, whereas it less Chongqing sub-region. (3) primary elements capability four are conditions socio-economic factors, respectively. can offer scientific foundation conservation efforts area, serve benchmark measuring other environmentally vulnerable regions.

Language: Английский

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Integrating key ecosystem services to study the spatio-temporal dynamics and determinants of ecosystem health in Wuhan’s central urban area

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112352 - 112352

Published: July 11, 2024

Language: Английский

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The evolution of urban ecological resilience: An evaluation framework based on vulnerability, sensitivity and self-organization

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105933 - 105933

Published: Oct. 1, 2024

Language: Английский

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Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework

Frontiers 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

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Analysis of the Coupling Coordination and Spatial Difference Between Economic and Ecological Environment: A Case Study of China

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 869 - 869

Published: Jan. 22, 2025

This study adopts a sustainable development perspective to examine the economic and ecological coordinated progression spatial disparities across 30 regions in China from 2011 2022. Firstly, detailed analysis of CCD reveals that coordination between ES (economic subsystem) EES (ecological environment has been rising annually. However, overall level remains relatively limited. Second, kernel density estimation (KDE) shows degree various exhibits considerable variability, with disparity becoming increasingly pronounced. Third, trend surface (TS) indicates there exist regional variations EES. Specifically, east experiences an upward trend, while west downward trend. Similarly, south increase, whereas north demonstrates decrease. With ongoing development, it observed stable east–west direction; however, is increasing. Fourth, global Moran’s I pronounced positive autocorrelation. Finally, local Jiangsu, Fujian, Anhui, Jiangxi provinces exhibit significant high–high clusters, three Xinjiang, Gansu, Ningxia have always low–low clusters.

Language: Английский

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