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Article type: Research Article
Authors: Garg, Nishesha; * | Gupta, Narainb
Affiliations: [a] Post Graduate Program in Management (Executive), MDI, Gurgaon, India | [b] Operations Department, MDI, Gurgaon, India
Correspondence: [*] Corresponding author: Nishesh Garg, Post Graduate Program in Management (Executive), MDI, Gurgaon, India. Tel.: +91 9716446878; E-mail: [email protected].
Abstract: A global revolution is called upon to transition into renewable sources of energy from fossil fuels in an accelerated manner by various countries to become net zero carbon emitter with self-committed timelines. This study identified carbon dioxide emissions and participation of renewable energy in total energy supply as two major dimensions and discusses the impact of various independent variables quantitively by multipanel regression in timeseries and countries for comparative correlation analysis. Theme based industry expert interviews adds qualitative dimension to the study. The results suggest that country’s energy need and availability of fossil fuels within, determines the RE adoption rate, while countries with high reliance on coal and crude are shifting towards RE sources. Investments in research and development in hydrogen, fuel cells and storage are yet to make an impact in this direction since they are recent in this long game of energy transition.
Keywords: Sustainable renewable energy, quantitative, qualitative, data modelling, statistics, Eviews, word cloud
DOI: 10.3233/MAS-220406
Journal: Model Assisted Statistics and Applications, vol. 17, no. 4, pp. 259-264, 2022
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