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        The effect of nuclear energy on the environment in the context of globalization: Consumption vs production-based CO2 emissions

        Danish,Recep Ulucak,Seyfettin Erdogan 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.4

        The earlier studies have analyzed theoretical links between nuclear energy and carbon dioxide (CO2)emissions concerning territorial (or production-based) emissions. Here using the latest available dataset,this study explores the impacts of nuclear energy on production-based and consumption-based CO2emission in the era of globalization for the Organization for Economic Co-operation and Development(OECD) countries. The Driscoll-Kraay regression method reveals that nuclear energy is beneficial for thereduction of production-based CO2 emissions. However, it is revealed that nuclear energy does notreduce consumption-based CO2 emissions that are traded internationally and hence not comprised inconventional production-based emissions (territory) inventories. Globalization tends to reduce bothproduction-based and demand-based carbon emissions. Finally, Environmental Kuznets Curve (EKC) isvalidated for both kinds of CO2 emissions. The findings may deliver practical policy implications relatedto nuclear energy and CO2 emissions for selected countries.

      • SCIESCOPUSKCI등재

        An empirical investigation of nuclear energy consumption and carbon dioxide (CO<sub>2</sub>) emission in India: Bridging IPAT and EKC hypotheses

        Danish, Danish,Ozcan, Burcu,Ulucak, Recep Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.6

        The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO<sub>2</sub> 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 CO<sub>2</sub> 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.

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