Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123647 - 123647
Published: Dec. 17, 2024
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123647 - 123647
Published: Dec. 17, 2024
Language: Английский
Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134496 - 134496
Published: Jan. 1, 2025
Language: Английский
Citations
4Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 122055 - 122055
Published: Nov. 1, 2024
Language: Английский
Citations
9Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134175 - 134175
Published: Dec. 1, 2024
Language: Английский
Citations
9Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134991 - 134991
Published: Feb. 1, 2025
Language: Английский
Citations
1Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145376 - 145376
Published: March 1, 2025
Language: Английский
Citations
0Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: March 24, 2025
Language: Английский
Citations
0Nuclear Engineering and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 103650 - 103650
Published: April 1, 2025
Language: Английский
Citations
0Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121721 - 121721
Published: Oct. 1, 2024
Language: Английский
Citations
2Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8434 - 8434
Published: Sept. 27, 2024
While there is a vast body of literature on environmental sustainability, the disaggregated impact major non-renewable energy (NRE) consumption sustainability United States (U.S.) understudied, particularly in terms using load capacity factor (LCF) perspective. In this study, above research gap addressed dynamic autoregressive distributed lag (DYNARDL) model to analyze heterogeneous NRE U.S. from 1961 2022. Given U.S.’s heavy reliance sources, analysis provides an in-depth examination long-term effects environment. Based DYNARDL model, it found that increase one unit coal, natural gas, and petroleum reduces by 0.007, 0.006, 0.008 units short run 0.004, 0.005 long run, respectively. However, nuclear would decrease 0.007 run. The kernel-based regularized system (KRLS) result shows coal bears negative significant causal link with but no relationship gas. suggests expansion use gradually reducing utilization coal- petroleum-based forms energy, then improve quality U.S., while considering social economic implications efforts aimed at shifting away fossil fuels.
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123647 - 123647
Published: Dec. 17, 2024
Language: Английский
Citations
0