期刊
NUCLEAR ENGINEERING AND TECHNOLOGY
卷 53, 期 6, 页码 2056-2065出版社
KOREAN NUCLEAR SOC
DOI: 10.1016/j.net.2020.12.008
关键词
Nuclear energy; Carbon emissions; IPAT; EKC; Dynamic ARDL; India
The study explores the relationship between nuclear energy consumption and CO2 emissions, finding that an increase in nuclear energy reduces environmental pollution, while population density stimulates carbon emissions, and nuclear energy and population density together form the EKC curve.
The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO2 emissions nexus makes it difficult to predict whether or not nuclear acts as a clean energy source. Hence, we examined the relationship between nuclear energy consumption and CO2 emissions in the context of the IPAT and Environmental Kuznets Curve (EKC) framework. Dynamic Auto-regressive Distributive Lag (DARDL), a newly modified econometric tool, is employed for estimation of long- and short-run dynamics by using yearly data spanning from 1971 to 2018. The empirical findings of the study revealed an instantaneous increase in nuclear energy reduces environmental pollution, which highlights that more nuclear energy power in the Indian energy system would be beneficial for climate change mitigation. The results further demonstrate that the overarching effect of population density in the IPAT equation stimulates carbon emissions. Finally, nuclear energy and population density contribute to form the EKC curve. To achieving a cleaner environment, results point out governmental policies toward the transition of nuclear energy that favours environmental sustainability. (C) 2020 Korean Nuclear Society, Published by Elsevier Korea LLC.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据