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作 者:Aifeng Liu Muhammad Imran Abdelmohsen A.Nassani Rima H.Binsaeed Khalid Zaman
机构地区:[1]International Business School,Shaanxi Normal University,Xi’an,China [2]Department of Economics,The University of Haripur,Haripur Khyber Pakhtunkhwa 22620,Pakistan [3]Department of Management,College of Business Administration,King Saud University,P.O.Box 71115,Riyadh 11587,Saudi Arabia
出 处:《Geoscience Frontiers》2024年第4期411-426,共16页地学前缘(英文版)
基 金:Researchers Supporting Project number(RSP2024R87),King Saud University,Riyadh,Saudi Arabia.
摘 要: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.
关 键 词:Nuclear energy demand High technology exports Innovation Economic growth Green finance USA
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