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DOI10.1016/j.pnucene.2024.105059
Does nuclear energy mitigate CO2 emissions in the USA? Testing IPAT and EKC hypotheses using dynamic ARDL simulations approach
Hassan, Abubakar; Haseeb, Mohammad; Bekun, Festus Victor; Yazdi, Asieh Haieri; Ullah, Ehsan; Hossain, Md. Emran
发表日期2024
ISSN0149-1970
EISSN1878-4224
起始页码169
卷号169
英文摘要Growing concern over climate change mitigation has heightened the search for low -carbon, affordable, and nonintermittent energy alternatives. In this perspective, hydropower, thermal, solar, photovoltaic, and nuclear energy sources fit all these qualities as they are well-known as cleaner and ecosystem -friendly energy sources. However, despite the attractiveness of the clean energy transition, the extant literature has less documentation on the pertinent role of nuclear energy in the climate change mitigation (SDG-13) agenda, hence making it difficult to predict nuclear energy-CO2 emissions (CO2e) nexus. Hence, the present study, using IPAT and the environmental Kuznets curve (EKC) framework, explores the consequences of nuclear energy generation, population dynamics, and economic progress on CO2e in the United States of America (USA) by applying a dynamic autoregressive distributed lag (DARDL) model from 1973 to 2021. The study provides evidence the existence of the EKC phenomena, suggesting that economic expansion hurts the environment up to a specific threshold level of per capita income, which is identified as US$ 29,581.16. Further empirical findings also show the detrimental effect of population -induced -emission. Remarkably, a 1% rise in nuclear energy generation dwindles CO2e by around 0.819%. The outcomes of this research demonstrate that economic growth level, population, and CO2 emission are entangled. However, there is a need for a collective role from both stakeholders and policymakers in achieving SDG-13 as well as clean and affordable energy (SDG-7) with a paradigm shift of the USA energy portfolio away from fossil fuels to renewables.
英文关键词Nuclear energy; Economic growth; Population; CO2 emissions; Dynamic ARDL model
语种英语
WOS研究方向Nuclear Science & Technology
WOS类目Nuclear Science & Technology
WOS记录号WOS:001170665200001
来源期刊PROGRESS IN NUCLEAR ENERGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/289159
作者单位University of Dundee; Wuhan University; Wuhan University; Istanbul Gelisim University; Ministry of Education of Azerbaijan Republic; Azerbaijan State University of Economics (UNEC); Lebanese American University; University of Dundee; Ural Federal University; Texas State University System; Texas State University San Marcos
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Hassan, Abubakar,Haseeb, Mohammad,Bekun, Festus Victor,et al. Does nuclear energy mitigate CO2 emissions in the USA? Testing IPAT and EKC hypotheses using dynamic ARDL simulations approach[J],2024,169.
APA Hassan, Abubakar,Haseeb, Mohammad,Bekun, Festus Victor,Yazdi, Asieh Haieri,Ullah, Ehsan,&Hossain, Md. Emran.(2024).Does nuclear energy mitigate CO2 emissions in the USA? Testing IPAT and EKC hypotheses using dynamic ARDL simulations approach.PROGRESS IN NUCLEAR ENERGY,169.
MLA Hassan, Abubakar,et al."Does nuclear energy mitigate CO2 emissions in the USA? Testing IPAT and EKC hypotheses using dynamic ARDL simulations approach".PROGRESS IN NUCLEAR ENERGY 169(2024).
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