The Dynamic Impact of Renewable Energy and Economic Growth on CO 2 Emissions in China: Do Remittances and Technological Innovations Matter?

Chafic Bassam Saliba, Fida Ragheb Hassanein, Seyed Alireza Athari, Hazar Dördüncü, Ephraim Bonah Agyekum () and Parise Adadi
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Chafic Bassam Saliba: School of Business, Lebanese International University, Beirut 14604, Lebanon
Fida Ragheb Hassanein: Business Department, Lebanese International University, Beirut 14604, Lebanon
Seyed Alireza Athari: Department of Business Administration, Faculty of Economics and Administrative Sciences, Cyprus International University, Nicosia 99258, Northern Cyprus, Turkey
Hazar Dördüncü: Department of International Trade and Logistics, Faculty of Economics, Administrative and Social Sciences, Nisantasi University, Istanbul 34020, Turkey
Ephraim Bonah Agyekum: Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, 19 Mira Street, 620002 Ekaterinburg, Russia
Parise Adadi: Department of Food Science, University of Otago, Dunedin 9054, New Zealand

Sustainability, 2022, vol. 14, issue 21, 1-17

Abstract: Several investigations show that remittances, renewable energy, and innovation promote the socioeconomic advancement of a nation. Nevertheless, the impacts of remittances and renewable energy on ecological quality are yet to be evaluated thoroughly. Therefore, the current investigation assesses the effects of remittances and renewable energy on CO 2 emissions while taking into account the roles of technological innovation, globalization, and economic growth. Toward this end, this paper depends on yearly data between 1990 and 2019. The study employed bounds testing and its results disclosed long-term connections between CO 2 and the regressors. Moreover, unlike prior studies that employ time-domain causality, we employed frequency domain causality, which considers causality at different frequencies. Furthermore, the ARDL long- and short-run results showed that economic growth amplified CO 2 emissions, while green energy, remittances, and globalization lessened CO 2 emissions. Lastly, the frequency domain causality approach revealed that globalization, renewable energy, economic growth, technological innovation, and remittances could predict CO 2 emissions in the long-term. These findings’ sturdiness was established utilizing DOLS and FMOLS regression. Several policy recommendations are suggested in light of these ground-breaking discoveries.

Keywords: remittances; renewable energy; technological innovation; globalisation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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