| Title |
Reducing carbon emissions with Geoscience solutions: A look at the contributions of nuclear energy, technology, and green finance |
| ID_Doc |
32511 |
| Authors |
Liu, AF; Imran, M; Nassani, AA; Binsaeed, RH; Zaman, K |
| Title |
Reducing carbon emissions with Geoscience solutions: A look at the contributions of nuclear energy, technology, and green finance |
| Year |
2024 |
| Published |
Geoscience Frontiers, 15, 4 |
| DOI |
10.1016/j.gsf.2023.101698 |
| Abstract |
Standards for Low -Carbon Energy Portfolios (LC -EPS) mandate that a certain percentage of a region's electricity generation originate from zero- or low -emissions sources. From 1995Q1 through 2020Q4, the study used the ARDL-Bounds testing technique to estimate coefficient parameters, Granger causality to draw causal inferences, and variance decomposition analysis to anticipate the factors that will have the greatest impact on carbon emissions in the US economy. Nuclear power significantly impacts carbon emissions, as seen by an inverted U-shaped environmental Kuznets curve, whereas long-term impact of innovation leads to lower emissions. On the other hand, exports of sophisticated technology reduce carbon emissions. Economic growth has a discernible effect on carbon emissions, nuclear power, innovation, and environmentally friendly financing. High-tech exports will likely impact carbon emissions most, followed by a demand for nuclear power, innovation, economic expansion, and sustainable finance for the next ten years. These results give policymakers helpful insight into how the US economy may reduce carbon emissions and fight climate change via renewable energy and green finance. (c) 2023 China University of Geosciences (Beijing) and Peking University. Published by Elsevier B.V. on behalf of China University of Geosciences (Beijing). This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Author Keywords |
Nuclear energy demand; High technology exports; Innovation; Economic growth; Green finance; USA |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001259696000001 |
| WoS Category |
Geosciences, Multidisciplinary |
| Research Area |
Geology |
| PDF |
https://doi.org/10.1016/j.gsf.2023.101698
|