Bioresource Technology, Journal Year: 2022, Volume and Issue: 365, P. 128166 - 128166
Published: Oct. 22, 2022
Language: Английский
Bioresource Technology, Journal Year: 2022, Volume and Issue: 365, P. 128166 - 128166
Published: Oct. 22, 2022
Language: Английский
Energy Efficiency, Journal Year: 2022, Volume and Issue: 15(2)
Published: Feb. 1, 2022
Language: Английский
Citations
448Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 346, P. 131207 - 131207
Published: March 5, 2022
Language: Английский
Citations
252Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 302, P. 113980 - 113980
Published: Oct. 21, 2021
Language: Английский
Citations
244Ecological Informatics, Journal Year: 2022, Volume and Issue: 70, P. 101747 - 101747
Published: July 14, 2022
Language: Английский
Citations
158Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(5), P. 11838 - 11860
Published: Sept. 13, 2022
Language: Английский
Citations
152Applied Energy, Journal Year: 2023, Volume and Issue: 339, P. 120983 - 120983
Published: March 27, 2023
Language: Английский
Citations
114Resources Policy, Journal Year: 2022, Volume and Issue: 77, P. 102672 - 102672
Published: March 30, 2022
Language: Английский
Citations
110Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 325, P. 116502 - 116502
Published: Oct. 20, 2022
Language: Английский
Citations
101International Journal of Sustainable Development & World Ecology, Journal Year: 2022, Volume and Issue: 29(8), P. 738 - 755
Published: June 13, 2022
The study investigates impact of energy consumption on environmental degradation at aggregated and disaggregated levels. In this context, the considers carbon dioxide (CO2) emissions as proxy degradation, focuses United States America (USA) biggest economy highest second carbon-emitting country. Moreover, uses monthly data between 1989 January 2021 September performs nonlinear approaches Wavelet Coherence (WC), Granger Causality-in-Quantiles (GCQ), Quantile-on-Quantile Regression (QQR). Besides, Quantile (QR) is used for robustness checks QQR. results show that (i) has an important CO2 in short, medium long term, while changes according to times frequencies; (ii) causal effect exists almost all quantiles excluding some lower (0.05, 0.25), middle (0.65, 0.70, 0.75, 0.80) higher (0.95) quantiles, whereas indicator-based change a bit; (iii) QR confirm QQR are robust; (iv) overall, effects indicators times, frequencies, aggregated/disaggregated Hence, empirical outcomes underline significance renewable improving quality through limiting imply USA policymakers should focus efforts decreasing fossil sources increasing conversion systems limit considering changing impacts various
Language: Английский
Citations
78Renewable Energy, Journal Year: 2022, Volume and Issue: 194, P. 1060 - 1070
Published: June 5, 2022
Language: Английский
Citations
75