Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Tomiwa Adebayo (), Manuel Francisco Coelho, Dilber Çağlar Onbaşıoğlu, Husam Rjoub, Mário Nuno Mata, Paulo Viegas Carvalho, João Xavier Rita and Ibrahim Adeshola
Additional contact information
Manuel Francisco Coelho: Instituto Superior de Economia e Gestão/Universidade de Lisboa, Rua Miguel Lupi 20, 1249-078 Lisboa, Portugal
Dilber Çağlar Onbaşıoğlu: Department of Accounting, Karmi Campus, Girne American University, University Drive, P.O. Box 5, Karaoglanoglu, TRNC, Kyrenia 99428, Turkey
Mário Nuno Mata: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal
Paulo Viegas Carvalho: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal
João Xavier Rita: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal
Ibrahim Adeshola: Department of Information Technology, School of Computing and Technology, Eastern Mediterranean University, North Cyprus, Mersin 10 99040, Turkey

Energies, 2021, vol. 14, issue 14, 1-12

Abstract: The present research assesses the influence of globalization and technological innovation on CO 2 emissions in South Korea as well as taking into account the role of renewable energy consumption and energy consumption utilizing datasets between 1980 and 2018. The autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL reveals that economic growth, energy consumption and globalization trigger environmental degradation while technological innovation improves the quality of the environment. In addition, the study employed the frequency domain causality test to capture causal linkage among the series. The major advantage of this approach is that causal linkage between series can be captured at the short, medium and long term, respectively. The outcomes of the causality test revealed that globalization, technological innovation, economic growth and energy use can predict CO 2 emissions in South Korea.

Keywords: CO 2 emissions; globalization; technological innovation; renewable energy consumption; South Korea (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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