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Renewable Energy: An International Journal ; 198:343-351, 2022.
Article in English | Academic Search Complete | ID: covidwho-2049867

ABSTRACT

This study uses the economies of Brazil, Russia, India, China and South Africa (BRICS) to examine how economic growth, agriculture, renewable energy, information and communication technology (ICT) and human capital affect carbon emission during the period of 1990–2019. Several econometric techniques such as Pedroni Cointegration test, Mean Group techniques and Pairwise granger causality test are employed. The result from Augmented Mean Group suggests the existence of agriculture induced environmental Kuznets curve hypothesis for BRICS economies. The roles of both the renewable energy and ICT use are negative and significant on the carbon emission. Furthermore, the moderation effect of renewable energy with agriculture shows that it can moderate the agriculture's positive contribution towards the climate change while the moderation effect of ICT and human capital with agriculture do not yield any significant outcomes. The pairwise granger causality result further establishes bidirectional causality between CO 2 emission and renewable energy, ICT and CO 2 , agriculture and GDP, ICT and GDP, renewable energy and agriculture as well as between renewable energy and ICT. Finally, the study provides policy implications and insights for the BRICS governments and policymakers in their efforts to tackle the climate change through the use of renewable energy. [ FROM AUTHOR] Copyright of Renewable Energy: An International Journal is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

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