Intelligent Automated Control in Accordance with Resource Efficiency Criteria toward Circular Economy Transition DOI
Irina Kolupaieva, Ігор Невлюдов, Yurii Volodymyrovych Romashov

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 133 - 141

Published: Jan. 1, 2024

Language: Английский

Resource efficiency, cultural industry, and green economic growth: A synergistic approach DOI
Ming Zhang,

Xuejiao Wei

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104769 - 104769

Published: Feb. 14, 2024

Language: Английский

Citations

4
Does Income Inequality Undermine the Carbon Abatement Benefits of Artificial Intelligence? DOI
Zequn Dong,

Lingran Zhang,

C. P.-P. Tan

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 472, P. 143437 - 143437

Published: Aug. 18, 2024

Language: Английский

Citations

4
Building a Sustainable Future: The Nexus Between Artificial Intelligence, Renewable Energy, Green Human Capital, Geopolitical Risk, and Carbon Emissions Through the Moderating Role of Institutional Quality DOI Open Access
Amir Iqbal, Wei Zhang, Sayeda Jahangir

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 990 - 990

Published: Jan. 25, 2025

Countries worldwide are focusing on energy efficiency, economic sustainability, and responsible resource management to address climate change meet sustainable development goals (SDGs). This study investigates how factors such as artificial intelligence, renewable energy, green human capital, geopolitical risk, natural rent, information communication technology influenced CO2 emissions in 36 countries between 2000 2021. The also explores institutional quality moderates these relationships. We employed advanced econometric techniques this gap, including panel-correlated standard errors (PCSE) the Driscoll–Kraay estimations (DKSE) models. A two-step system GMM approach was used strengthen robustness of our findings. findings reveal that consumption, can significantly reduce emissions. Conversely, contribute increased Institutional enhances positive impact capital emission reduction. However, it has opposite effect leading an even greater increase These underscore importance policies achieving goals. recommend policymakers prioritize investing clean while strengthening effectively mitigate carbon SDGs. They regulate AI ICT footprints risks through diversification international cooperation.

Language: Английский

Citations

0
The Use of Artificial Intelligence Technologies in Energy and Climate Security DOI Creative Commons
Igbal А. Guliev,

A. Mammadov,

K. Ibrahimli

et al.

Review of Business and Economics Studies, Journal Year: 2025, Volume and Issue: 12(4), P. 58 - 71

Published: Feb. 11, 2025

This study provides a theoretical analysis of the use and application artificial intelligence (AI) in energy sector as it relates to climate security. The object is security types economic activity social activity. subject research relation area research. purpose create sound scientific basis for sector, well identify emerging problems formation science-based approach policy development. authors’ includes three interrelated methodologies: topic modeling, text mining part qualitative modeling systematization results that are adequate correspond their reality; addition, authors supplemented quantitative with heuristic other researchers. concept parametric optimization (PO) used an effective method solving applied problem testing hypothesis managing costs efficiency based on AI order achieve optimal performance technical system compliance Sustainable Development Goals (SDGs) field study’s findings suggest becoming fundamental development modern data complex relationships tools improve face sanctions restrictions. conclude truth has been proven: control feedback loop at facility purification generation more cost-effective technically alternative “live” operator, which will eliminate human error factor. In this regard, industry, utilities, grid operators independent power producers must pay special attention introduction technologies into existing systems.

Language: Английский

Citations

0
Influence of artificial intelligence development on supply chain diversification DOI
Bin Wu, Hang Chen, Yujie Shi

et al.

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 107210 - 107210

Published: March 1, 2025

Language: Английский

Citations

0
Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework DOI

Gongquan Zhang,

Shenglin Ma, Mingxing Zheng

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106333 - 106333

Published: March 1, 2025

Language: Английский

Citations

0
Mineral resource management in Chinese rural areas: Policy assessment for green economic growth DOI

Jin Xu,

Chengjun Liu,

Gang Dou

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104815 - 104815

Published: Feb. 14, 2024

Language: Английский

Citations

3
A win-win relationship? New evidence on artificial intelligence and new energy vehicles DOI

Jianqiang Gu,

Zhan Wu,

Yubing Song

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 134, P. 107613 - 107613

Published: May 8, 2024

Language: Английский

Citations

3
The Spatial Spillover Impact of Artificial Intelligence on Energy Efficiency: Empirical Evidence from 278 Chinese Cities DOI
Yong Wang, Wenhao Zhao,

Xuejiao Ma

et al.

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133497 - 133497

Published: Oct. 1, 2024

Language: Английский

Citations

3
Decomposition of factors affecting copper consumption in major countries in light of green economy and its trend characteristics DOI

Shaobo Guo,

Fuguo Cao

Resources Policy, Journal Year: 2024, Volume and Issue: 98, P. 105313 - 105313

Published: Sept. 19, 2024

Language: Английский

Citations

2