LAPSE:2023.33685
Published Article
LAPSE:2023.33685
Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?
April 21, 2023
Abstract
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.
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.
Record ID
Keywords
CO2 emissions, globalization, renewable energy consumption, South Korea, technological innovation
Subject
Suggested Citation
Adebayo TS, Coelho MF, Onbaşıoğlu DÇ, Rjoub H, Mata MN, Carvalho PV, Rita JX, Adeshola I. Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?. (2023). LAPSE:2023.33685
Author Affiliations
Adebayo TS: Department of Business Administration, Faculty of Economics and Administrative Science, Cyprus International University, Northern Cyprus, Mersin 10 99040, Turkey [ORCID]
Coelho MF: Instituto Superior de Economia e Gestão/Universidade de Lisboa, Rua Miguel Lupi 20, 1249-078 Lisboa, Portugal; SOCIUS/ISEG Centro de Investigação em Sociologia Económica e das Organizações, 1249-078 Lisboa, Portugal
Onbaşıoğlu DÇ: Department of Accounting, Karmi Campus, Girne American University, University Drive, P.O. Box 5, Karaoglanoglu, TRNC, Kyrenia 99428, Turkey
Rjoub H: Department of Accounting and Finance, Faculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Mersin 10 99040, Turkey [ORCID]
Mata MN: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Carvalho PV: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Rita JX: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Adeshola I: Department of Information Technology, School of Computing and Technology, Eastern Mediterranean University, North Cyprus, Mersin 10 99040, Turkey
Coelho MF: Instituto Superior de Economia e Gestão/Universidade de Lisboa, Rua Miguel Lupi 20, 1249-078 Lisboa, Portugal; SOCIUS/ISEG Centro de Investigação em Sociologia Económica e das Organizações, 1249-078 Lisboa, Portugal
Onbaşıoğlu DÇ: Department of Accounting, Karmi Campus, Girne American University, University Drive, P.O. Box 5, Karaoglanoglu, TRNC, Kyrenia 99428, Turkey
Rjoub H: Department of Accounting and Finance, Faculty of Economics and Administrative Sciences, Cyprus International University, North Cyprus, Mersin 10 99040, Turkey [ORCID]
Mata MN: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Carvalho PV: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Rita JX: ISCAL-Instituto Superior de Contabilidade e Administração de Lisboa, Instituto Politécnico de Lisboa, Avenida Miguel Bombarda 20, 1069-035 Lisboa, Portugal [ORCID]
Adeshola I: Department of Information Technology, School of Computing and Technology, Eastern Mediterranean University, North Cyprus, Mersin 10 99040, Turkey
Journal Name
Energies
Volume
14
Issue
14
First Page
4265
Year
2021
Publication Date
2021-07-14
ISSN
1996-1073
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PII: en14144265, Publication Type: Journal Article
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LAPSE:2023.33685
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https://doi.org/10.3390/en14144265
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