Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?

For a developing nation such as Malaysia with a significant reliance on fossil fuels for electricity, understanding the environmental consequences of this dependency is crucial. Thus, this study utilizes the Autoregressive Distributed Lag (ARDL) method to explore the impact of electricity intensity...

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Main Authors: Mohamed E.F., Abdullah A., Jaaffar A.H., Osabohien R.
Other Authors: 58020916600
Format: Article
Published: Elsevier Ltd 2025
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spelling my.uniten.dspace-366652025-03-03T15:43:46Z Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint? Mohamed E.F. Abdullah A. Jaaffar A.H. Osabohien R. 58020916600 26967528100 58897806500 57201922189 Carbon Emission control Energy efficiency Gas emissions Least squares approximations Power generation Sustainable development Waste management Auto-regressive Autoregressive distributed lag Carbon emissions Ecological footprint Electricity intensities Electricity-generation Environmental Kuznet's curve Environmental kuznets curve hypothesis Malaysia Renewable energies Fossil fuels For a developing nation such as Malaysia with a significant reliance on fossil fuels for electricity, understanding the environmental consequences of this dependency is crucial. Thus, this study utilizes the Autoregressive Distributed Lag (ARDL) method to explore the impact of electricity intensity (EINT), renewable energy in electricity generation (ERE), and gross domestic product (GDP) on Malaysia's environmental quality, from 1985 to 2020. By using carbon emissions (CO2 emissions) and ecological footprint (EF) as proxies, the study finds a significant long-run impact of these factors on environmental degradation. Notably, the study also observed an inverted U-shaped relationship between GDP and environmental degradation, validating the existence of Environmental Kuznets Curve (EKC) hypothesis. The findings also imply that while electricity intensity is associated with increased emissions, the use of renewable energy (RE) sources for electricity generation may contribute to emission reduction. But the results for both variables show reversal signs on EF. The study's adoption of the fully ordinary least square (FMOLS) method reinforces the same results, thus, justifying the cointegrating relationship between studied variables. Drawing from these outcomes, the study advocates for a comprehensive approach to renewable energy management, emphasizing both its utilization and waste in order to improve ecological footprint. Moreover, the pressing need to enact legislation on energy efficiency and conservation is crucial in ensuring decoupling and securing sustainable development in Malaysia. ? 2024 The Authors Final 2025-03-03T07:43:45Z 2025-03-03T07:43:45Z 2024 Article 10.1016/j.esr.2024.101387 2-s2.0-85191000002 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191000002&doi=10.1016%2fj.esr.2024.101387&partnerID=40&md5=a7d9f7b546ed8a12823cc891005b259f https://irepository.uniten.edu.my/handle/123456789/36665 53 101387 All Open Access; Gold Open Access; Green Open Access Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Carbon
Emission control
Energy efficiency
Gas emissions
Least squares approximations
Power generation
Sustainable development
Waste management
Auto-regressive
Autoregressive distributed lag
Carbon emissions
Ecological footprint
Electricity intensities
Electricity-generation
Environmental Kuznet's curve
Environmental kuznets curve hypothesis
Malaysia
Renewable energies
Fossil fuels
spellingShingle Carbon
Emission control
Energy efficiency
Gas emissions
Least squares approximations
Power generation
Sustainable development
Waste management
Auto-regressive
Autoregressive distributed lag
Carbon emissions
Ecological footprint
Electricity intensities
Electricity-generation
Environmental Kuznet's curve
Environmental kuznets curve hypothesis
Malaysia
Renewable energies
Fossil fuels
Mohamed E.F.
Abdullah A.
Jaaffar A.H.
Osabohien R.
Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
description For a developing nation such as Malaysia with a significant reliance on fossil fuels for electricity, understanding the environmental consequences of this dependency is crucial. Thus, this study utilizes the Autoregressive Distributed Lag (ARDL) method to explore the impact of electricity intensity (EINT), renewable energy in electricity generation (ERE), and gross domestic product (GDP) on Malaysia's environmental quality, from 1985 to 2020. By using carbon emissions (CO2 emissions) and ecological footprint (EF) as proxies, the study finds a significant long-run impact of these factors on environmental degradation. Notably, the study also observed an inverted U-shaped relationship between GDP and environmental degradation, validating the existence of Environmental Kuznets Curve (EKC) hypothesis. The findings also imply that while electricity intensity is associated with increased emissions, the use of renewable energy (RE) sources for electricity generation may contribute to emission reduction. But the results for both variables show reversal signs on EF. The study's adoption of the fully ordinary least square (FMOLS) method reinforces the same results, thus, justifying the cointegrating relationship between studied variables. Drawing from these outcomes, the study advocates for a comprehensive approach to renewable energy management, emphasizing both its utilization and waste in order to improve ecological footprint. Moreover, the pressing need to enact legislation on energy efficiency and conservation is crucial in ensuring decoupling and securing sustainable development in Malaysia. ? 2024 The Authors
author2 58020916600
author_facet 58020916600
Mohamed E.F.
Abdullah A.
Jaaffar A.H.
Osabohien R.
format Article
author Mohamed E.F.
Abdullah A.
Jaaffar A.H.
Osabohien R.
author_sort Mohamed E.F.
title Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
title_short Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
title_full Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
title_fullStr Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
title_full_unstemmed Reinvestigating the EKC hypothesis: Does renewable energy in power generation reduce carbon emissions and ecological footprint?
title_sort reinvestigating the ekc hypothesis: does renewable energy in power generation reduce carbon emissions and ecological footprint?
publisher Elsevier Ltd
publishDate 2025
_version_ 1825816069262016512
score 13.244413