Pursuing a carbon-neutral world: How digital exports, financial stability, and energy security contribute to green growth DOI Creative Commons
Yang Yang, Yunbao Xu, Qifeng Xu

et al.

Energy & Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Digital exports, financial stability, and energy security are vital in determining green growth. However, no empirics the past have shed light on relationship between digital security, The main focus of analysis is how affect growth 33 world's leading energy-consuming economies from 2000 to 2021. To that end, study employed novel cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model. Our findings show exports stability boost long-run full sample Asian, European, American models, while risks hinder models. Environmental technology promotes full-sample European renewable consumption helps In short run, crucial for Asian environmental benefits all Integrating sustainable practices ecologically commercially rewarding a fast-changing global context essential.

Language: Английский

Climate change dynamics for global energy security and equity: Evidence from policy stringency drivers DOI
Vishal Dagar,

Amar Rao,

Leila Dagher

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122484 - 122484

Published: Sept. 18, 2024

Language: Английский

Citations

12
Evaluating sustainable energy security in China and Kazakhstan: A comprehensive data-driven approach DOI Creative Commons

Walker Darke,

Marat Karatayev

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: 26, P. 100624 - 100624

Published: Feb. 1, 2025

Language: Английский

Citations

0
Interconnectedness among supply chain disruptions, energy crisis, and oil market volatility on economic resilience DOI
Shufeng Yang, Ying Fu

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108290 - 108290

Published: Feb. 1, 2025

Language: Английский

Citations

0
Integrating Advanced Machine Learning Models for Accurate Prediction of Porosity and Permeability in Fractured and Vuggy Carbonate Reservoirs: Insights from the Tarim Basin, Northwestern, China DOI
Armel Prosley Mabiala Mbouaki, Zhongxian Cai,

Allou Koffi Franck Kouassi

et al.

SPE Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: April 1, 2025

Summary Accurate prediction of porosity and permeability in fractured vuggy carbonate reservoirs is crucial for optimizing hydrocarbon recovery but remains challenging due to their extreme heterogeneity anisotropy. Traditional methods often struggle capture the complex geological variability, leading suboptimal reservoir characterization. To address this, we propose a novel hybrid machine learning (ML) framework that integrates particle swarm optimization (PSO), mixed-effects random forest (MERF), ensemble models, such as light gradient boosting (LightGBM), (XGBoost), (RF). These models were trained validated using leave-one well-out cross-validation (LOO-CV) train-test split method, leveraging geophysical well-log data from Tarim Basin’s reservoirs. Among three PSO-MERF-LightGBM outperformed others, achieving an R² 0.9752 root mean square error (RMSE) 0.0606 R2 0.9983 RMSE 0.00473 during testing. Moreover, model demonstrates exceptional computational efficiency, completing processing just 11 seconds 9 seconds, respectively. This marks significant reduction computation time compared with other making it highly efficient alternative. results confirm its superior ability nonlinear relationships spatial variability. The study how advanced ML techniques can enhance characterization, improving decision-making subsurface resource management. Future research should extend this settings validate broader applicability.

Language: Английский

Citations

0
Powering progress: The interplay of energy security and institutional quality in driving economic growth DOI Creative Commons
Mohammad Naim Azimi, Mohammad Mafizur Rahman, Tek Maraseni

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 378, P. 124835 - 124835

Published: Nov. 9, 2024

Language: Английский

Citations

3
Evaluating sustainability of CO2-mediated pyrolysis of lignocellulose DOI
Kwangsuk Yoon, Taewoo Lee,

Hoyeon Cha

et al.

Bioresource Technology, Journal Year: 2024, Volume and Issue: 416, P. 131765 - 131765

Published: Nov. 6, 2024

Language: Английский

Citations

2
Energy security and its determinants in New Zealand DOI Creative Commons
Saeed Solaymani

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(39), P. 51521 - 51539

Published: Aug. 8, 2024

New Zealand relies on imported fossil fuels for about 38% of its primary energy. The country's energy demand is expected to grow due population and economic growth, which will put more pressure the system. Besides, resource scarcity, price volatility, environmental challenges have made security a major concern other countries. Given lack significant research effects factors in Zealand, this study aims shed light determinants using dynamic autoregressive distributed lag method based time series data from 1978 2021. found that long-run link exists between intensity (energy efficiency), renewable use, fuel consumption, global oil prices. Real GDP, were improve security, while consumption world prices had negative impact. also revealed one-way causality real use security. In contrast, relationship bidirectional. Simulation results showed crude lower impact compared variables are most responsive 5% shock followed by growth.

Language: Английский

Citations

0
Energy Security and Economic Growth: The Role of Geopolitical Tensions <br> DOI
Khairul Alam,

Aida Ashtari Nakhaee,

Hakan Yilmazkuday

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Pursuing a carbon-neutral world: How digital exports, financial stability, and energy security contribute to green growth DOI Creative Commons
Yang Yang, Yunbao Xu, Qifeng Xu

et al.

Energy & Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Digital exports, financial stability, and energy security are vital in determining green growth. However, no empirics the past have shed light on relationship between digital security, The main focus of analysis is how affect growth 33 world's leading energy-consuming economies from 2000 to 2021. To that end, study employed novel cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model. Our findings show exports stability boost long-run full sample Asian, European, American models, while risks hinder models. Environmental technology promotes full-sample European renewable consumption helps In short run, crucial for Asian environmental benefits all Integrating sustainable practices ecologically commercially rewarding a fast-changing global context essential.

Language: Английский

Citations

0