Assessing the relevance of the Granger non-causality test for energy policymaking: theoretical and empirical insights DOI
Brahim Bergougui, Manuel A. Zambrano‐Monserrate

Energy Strategy Reviews, Год журнала: 2025, Номер 59, С. 101743 - 101743

Опубликована: Апрель 23, 2025

Язык: Английский

The regulatory power of fiscal and monetary policies in driving renewable energy: The moderating influence of political stability in belt and road initiative countries DOI
Qianwen Li, Anwar Khan,

Mengjie Xu

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107653 - 107653

Опубликована: Сен. 7, 2024

Язык: Английский

Процитировано

4

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, Год журнала: 2025, Номер unknown, С. 134140 - 134140

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence in Energy Economics Research: A Bibliometric Review DOI Creative Commons
Zhilun Jiao, Chenrui Zhang,

Wenwen Li

и другие.

Energies, Год журнала: 2025, Номер 18(2), С. 434 - 434

Опубликована: Янв. 20, 2025

Artificial intelligence (AI) is gaining attention in energy economics due to its ability process large-scale data as well make non-linear predictions and providing new development opportunities research subjects for research. The aim of this paper explore the trends application AI over decade spanning 2014–2024 through a systematic literature review, bibliometrics, network analysis. analysis shows that prominent themes are price forecasting, innovations systems, socio-economic impacts, transition, climate change. Potential future directions include supply-chain resilience security, social acceptance public participation, economic inequality technology gap, automated methods policy assessment, circular economy, digital economy. This innovative study contributes understanding from perspective bibliometrics inspires researchers think comprehensively about challenges hotspots.

Язык: Английский

Процитировано

0

Toward sustainable transport: Evaluating the economic feasibility of hydrogen fuel cell taxis DOI
Jing Xu, Chengxuan Geng, Peng Zhao

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 105, С. 1133 - 1142

Опубликована: Янв. 30, 2025

Язык: Английский

Процитировано

0

Supply chain challenges and energy insecurity: The role of AI in facilitating renewable energy transition DOI
Lingxiao Li, Jun Wen,

Yan Jun Li

и другие.

Energy Economics, Год журнала: 2025, Номер unknown, С. 108378 - 108378

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Does artificial intelligence promote green technology innovation in the energy industry? DOI
Cong Li, Yue Zhang, Xi-Hua Liu

и другие.

Energy Economics, Год журнала: 2025, Номер unknown, С. 108402 - 108402

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Green finance, climate change, and economic cycles: Sustaining innovation in technology DOI
Yanjun Guan,

Ruoshui Bai,

Yiqi He

и другие.

Technological Forecasting and Social Change, Год журнала: 2025, Номер 215, С. 124055 - 124055

Опубликована: Март 20, 2025

Язык: Английский

Процитировано

0

Assessing the dynamics of power curtailment in China: Market insights from wind, solar, and nuclear energy integration DOI
Hongli Zhao, Cui Chen, Zibin Zhang

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 118, С. 209 - 216

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

0

Inhibiting or exacerbating? Digital financial inclusion and renewable energy efficiency DOI Creative Commons
Jing Zheng, Baoliu Liu, Yujie Huang

и другие.

Science Progress, Год журнала: 2025, Номер 108(2)

Опубликована: Март 31, 2025

Fully analyzing the impact and role of digital inclusive finance on improvement renewable energy efficiency plays an important in realizing long-term sustainable development regional economy. This research undertakes a comprehensive empirical examination to investigate influence financial growth across 30 Chinese provinces cities, spanning from 2011 2021. The results demonstrate that advancement significantly improves energy. variations indicates while inclusion markedly enhances both eastern western areas, its remains negligible central region. In addition, our influencing mechanism show progress science technology, alongside effectiveness services, boosts beneficial effects enhancement efficiency. Furthermore, degrees innovation technology services act as singular threshold for Our study provides new evidence implications fully combination between efficiency, thereby promoting development.

Язык: Английский

Процитировано

0

Artificial intelligence and climate risk: A double machine learning approach DOI
Hua Yin,

Xiuxing Yin,

Fenghua Wen

и другие.

International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104169 - 104169

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0