Resources Policy, Journal Year: 2023, Volume and Issue: 84, P. 103732 - 103732
Published: June 3, 2023
Language: Английский
Resources Policy, Journal Year: 2023, Volume and Issue: 84, P. 103732 - 103732
Published: June 3, 2023
Language: Английский
Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(5), P. 12944 - 12952
Published: Sept. 19, 2022
Language: Английский
Citations
61Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(9), P. 24629 - 24640
Published: Nov. 8, 2022
Language: Английский
Citations
51Thermal Science and Engineering Progress, Journal Year: 2022, Volume and Issue: 36, P. 101489 - 101489
Published: Oct. 3, 2022
Language: Английский
Citations
40Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(9), P. 22686 - 22701
Published: Oct. 27, 2022
Language: Английский
Citations
39Renewable Energy, Journal Year: 2023, Volume and Issue: 204, P. 710 - 721
Published: Jan. 13, 2023
Language: Английский
Citations
31Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 114011 - 114011
Published: Nov. 2, 2023
Language: Английский
Citations
24Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104709 - 104709
Published: Feb. 1, 2024
Language: Английский
Citations
15Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 203, P. 123371 - 123371
Published: April 3, 2024
Language: Английский
Citations
13Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104733 - 104733
Published: Feb. 9, 2024
Language: Английский
Citations
12Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 5286 - 5299
Published: May 16, 2024
The United States is the world's second-largest polluter, generating 4.7 billion metric tons of CO2 in 2020. To combat it, US targeting a precise goal 50–52 percent decrease net emissions from 2005 levels by 2030. Hence, it vital to determine critical factors contributing Sustainable Development Goals (SDGs). With this motivation, study examines dynamic link between green energy transition, eco-innovation, economic policy uncertainty, use, growth, and sectoral (SCO2) 1980 2020 using novel Quantile-On-Quantile Regression (QQR) Granger causality quantile approaches. results show that quantiles transition are positively related all SCO2 quantiles. While eco-innovation marginally favorable lower higher quantiles, positive slope coefficients showcase effect uncertainty on 0.2–0.95 Similarly, use showed negative across whereas QQR growth throughout Suggests investment also reduces delivering for sectors if SDG-7 executed
Language: Английский
Citations
9