How to improve energy efficiency in China: A novel integrated approach based on resource allocation DOI
Qing Hua Yang,

Yangxin Liu,

Xinyuan Du

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2024, Volume and Issue: 69, P. 103883 - 103883

Published: July 19, 2024

Language: Английский

Sustainable development through digital innovation: Unveiling the impact of big data comprehensive experimental zones on energy utilization efficiency DOI

Han Xue,

Meng Cai, Baoliu Liu

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: July 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.

Language: Английский

Citations

9
Artificial intelligence, corporate information governance and ESG performance: Quasi-experimental evidence from China DOI
Xiaoyong Zhou, Gaochao Li, Qunwei Wang

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104087 - 104087

Published: March 1, 2025

Language: Английский

Citations

1
Nexus between green technology innovation and climate policy uncertainty: Unleashing the role of artificial intelligence in an emerging economy DOI
Rabia Akram, Qiyuan Li, Mohit Srivastava

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 209, P. 123820 - 123820

Published: Oct. 22, 2024

Language: Английский

Citations

6
Analysis of the determinants of environmental product export competitiveness: evidence from China DOI
Wei Wei, Qiyuan Li, Jianhua Qi

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 4, 2025

Language: Английский

Citations

0
Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework DOI Creative Commons

Zheng Qiang Song,

Yao Deng

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

Citations

0
Tail Risk Contagion and Safe Haven Dynamics: Analyzing U.S. Market Implied Volatility Effects on China's Energy Futures DOI
To-Han Chang,

Nientsu Wang

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134140 - 134140

Published: Jan. 1, 2025

Language: Английский

Citations

0
Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition DOI

Youcai Yang,

Xiaotong Niu,

Changgui Lin

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108349 - 108349

Published: March 1, 2025

Language: Английский

Citations

0
Evaluating the energy-saving and efficiency-enhancing potential of data factor marketization: Empirical evidence from 270 cities in China DOI

Yan Hong-rui,

Zhaoyang Zhao, Yanhong Zheng

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 378, P. 124686 - 124686

Published: March 5, 2025

Language: Английский

Citations

0
Evaluating the Impact of Energy Efficiency on Green Growth in Chinese Cities: A Spatial Durbin Model Approach DOI
Weidong Liu, Xi Chen

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135298 - 135298

Published: March 1, 2025

Language: Английский

Citations

0
Can artificial intelligence technology improve green total factor efficiency in energy utilisation? Empirical evidence from 282 cities in China DOI

Yingji Liu,

Ju Guo,

Fei Shen

et al.

Economic Change and Restructuring, Journal Year: 2025, Volume and Issue: 58(2)

Published: March 13, 2025

Language: Английский

Citations

0