4.6 Article

Information digitalization and renewable electricity generation: Evidence from South Asian countries

Journal

ENERGY REPORTS
Volume 9, Issue -, Pages 4721-4733

Publisher

ELSEVIER
DOI: 10.1016/j.egyr.2023.03.112

Keywords

Information digitalization; Globalization de facto and de jure; Renewable electricity generation; MCMC panel quantile regression; South Asia; Energy Economics

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Developing countries are moving towards digitalization in renewable energy production to mitigate the impact of non-renewable energy consumption on global climate change.
The world's tangible shift to clean energy transitions strengthens renewable electricity generations. Therefore, developing countries are marching toward the digitalized pathway to renewable energy production to safeguard global climate change from fossil fuel-based non-renewable energy consump-tion. We investigate the role of information digitalization proxied by the globalization de facto and de jure in renewable electricity generations within the purview of financial openness, labor productivity, transport infrastructures, technological innovation, and institutional quality in the context of South Asian countries during 1980-2020. We apply the novel econometric technique, the Markov chain Monte Carlo (MCMC) Panel Quantile regression, for robust findings depicted in the different quantiles. We find the positive and negative influences of globalization de jure (policy adoption spectrum) and de facto(policy implementation spectrum), respectively, in the different quantiles. Besides, financial openness and labor productivity negatively impact renewable energy generation. In contrast, transport infrastructures and institutional quality significantly positively affect the total time expanse. Therefore, we suggest reinforcing the implementation agendum (globalization de facto) of information digitaliza-tion for renewable energy generation in South Asian countries to materialize the global vision of clean energy transitions.(c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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