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DOI | 10.1016/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 |
ISSN | 0149-1970 |
EISSN | 1878-4224 |
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 |
推荐引用方式 GB/T 7714 | 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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