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

Tomiwa Sunday AdebayoDepartment of Business Administration, Faculty of Economics and Administrative Science, Cyprus International University, Northern Cyprus, Mersin 10 99040, TurkeyManuel Pacheco CoelhoInstituto Superior de Economia e Gestão/Universidade de Lisboa, Rua Miguel Lupi 20, 1249-078 Lisboa, PortugalDilber ÇağlarHusam RjoubDepartment of Accounting and Finance, Faculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Mersin 10 99040, TurkeyMário Nuno MataISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, PortugalPaulo Viegas de CarvalhoISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, PortugalJoão Xavier RitaISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, PortugalIbrahim AdesholaDepartment of Information Technology, School of Computing and Technology, Eastern Mediterranean University, North Cyprus, Mersin 10 99040, Turkey

2021en

ABI

Annotatsiya

The present research assesses the influence of globalization and technological innovation on CO2 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 CO2 emissions in South Korea.

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Identifikatorlar

DOI: 10.3390/en14144265

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