Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan
Achieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless ec...
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Format: | Article |
Language: | English |
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Elsevier
2022-05-01
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Series: | Nuclear Engineering and Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573321006653 |
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author | Muhammad Tariq Majeed Ilhan Ozturk Isma Samreen Tania Luni |
author_facet | Muhammad Tariq Majeed Ilhan Ozturk Isma Samreen Tania Luni |
author_sort | Muhammad Tariq Majeed |
collection | DOAJ |
description | Achieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust. |
first_indexed | 2024-12-14T06:12:39Z |
format | Article |
id | doaj.art-db3cd08580994cecb0b66f1088173d0a |
institution | Directory Open Access Journal |
issn | 1738-5733 |
language | English |
last_indexed | 2024-12-14T06:12:39Z |
publishDate | 2022-05-01 |
publisher | Elsevier |
record_format | Article |
series | Nuclear Engineering and Technology |
spelling | doaj.art-db3cd08580994cecb0b66f1088173d0a2022-12-21T23:14:07ZengElsevierNuclear Engineering and Technology1738-57332022-05-0154516641673Evaluating the asymmetric effects of nuclear energy on carbon emissions in PakistanMuhammad Tariq Majeed0Ilhan Ozturk1Isma Samreen2Tania Luni3School of Economics, Quaid-i-Azam University, Islamabad, PakistanFaculty of Economics and Administrative Sciences, Cag University, Mersin, Turkey; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan; Department of Finance, Asia University, 500, Lioufeng Rd., Wufeng, Taichung, 41354, Taiwan; Corresponding author. Faculty of Economics and Administrative Sciences, Cag University, Mersin, Turkey.School of Economics, Quaid-i-Azam University, Islamabad, PakistanSchool of Economics, Quaid-i-Azam University, Islamabad, PakistanAchieving sustainable development requires an increasing share of green technologies. World energy demand is expected to rise significantly especially in developing economies. The increasing energy demands will be entertained with conventional energy sources at the cost of higher emissions unless eco-friendly technologies are used. This study examines the asymmetric effects of nuclear energy on carbon emissions for Pakistan from 1974 to 2019. Augmented Dickey-Fuller (ADF) and Phillips Perron (PP) unit root tests suggest that variables are integrated of order one and bound test of Autoregressive Distributed Lag (ARDL) and nonlinear ARDL confirm a long-run relationship among selected variables. The ARDL, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS) results show that the coefficient of nuclear energy has a negative and significant impact on emissions in both short and long run. Further, the NARDL finding shows that there exists an asymmetric long-run association between nuclear energy and CO2 emissions. The vector error correction method (VECM) results indicate that there exists a bidirectional causal relationship between nuclear energy and carbon emissions in both the short and long run. Additionally, the impact of nuclear energy on ecological footprint has been examined and our findings remain robust.http://www.sciencedirect.com/science/article/pii/S1738573321006653ARDLCarbon emissionsEcological footprintNARDLNuclear energy |
spellingShingle | Muhammad Tariq Majeed Ilhan Ozturk Isma Samreen Tania Luni Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan Nuclear Engineering and Technology ARDL Carbon emissions Ecological footprint NARDL Nuclear energy |
title | Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan |
title_full | Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan |
title_fullStr | Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan |
title_full_unstemmed | Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan |
title_short | Evaluating the asymmetric effects of nuclear energy on carbon emissions in Pakistan |
title_sort | evaluating the asymmetric effects of nuclear energy on carbon emissions in pakistan |
topic | ARDL Carbon emissions Ecological footprint NARDL Nuclear energy |
url | http://www.sciencedirect.com/science/article/pii/S1738573321006653 |
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