The service sector and carbon emission nexus: revisiting Environmental Kuznets Curve
This study aims to examine the expansion effects of the service sector on the carbon emission in a dynamic non-linear model. Using data of 34 Asian countries ranging from 1990 to 2016, this study adopts non-linear model of the Environmental Kuznets Curve and the GMM estimator. The finding provides...
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2020
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my-ukm.journal.168762021-06-24T16:28:26Z http://journalarticle.ukm.my/16876/ The service sector and carbon emission nexus: revisiting Environmental Kuznets Curve Jain Yassin, Sarma Aralas, This study aims to examine the expansion effects of the service sector on the carbon emission in a dynamic non-linear model. Using data of 34 Asian countries ranging from 1990 to 2016, this study adopts non-linear model of the Environmental Kuznets Curve and the GMM estimator. The finding provides evidence of an N-shape association between the service sector and carbon emission which indicates that the growth of the service sector fails to reduce the carbon emission perpetually. The elasticity of urbanisation and trade openness are found to be positive which indicates that an increase in urbanisation and trade openness significantly intensifies carbon emission. Meanwhile, an increase in the ageing population tends to mitigate carbon emission in Asian countries. This current study facilitates the understanding of the impact of the services sector on carbon emission as well providing a solid ground in designing a policy that incorporates the environmental standard in line with increased economic growth. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/16876/1/jeko_54%282%29-10.pdf Jain Yassin, and Sarma Aralas, (2020) The service sector and carbon emission nexus: revisiting Environmental Kuznets Curve. Jurnal Ekonomi Malaysia, 54 (2). pp. 113-124. ISSN 0127-1962 https://www.ukm.my/fep/jem/content/2020-2.html |
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This study aims to examine the expansion effects of the service sector on the carbon emission in a dynamic non-linear model. Using data of 34 Asian countries ranging from 1990 to 2016, this study adopts non-linear model of
the Environmental Kuznets Curve and the GMM estimator. The finding provides evidence of an N-shape association
between the service sector and carbon emission which indicates that the growth of the service sector fails to reduce
the carbon emission perpetually. The elasticity of urbanisation and trade openness are found to be positive which
indicates that an increase in urbanisation and trade openness significantly intensifies carbon emission. Meanwhile, an
increase in the ageing population tends to mitigate carbon emission in Asian countries. This current study facilitates
the understanding of the impact of the services sector on carbon emission as well providing a solid ground in designing
a policy that incorporates the environmental standard in line with increased economic growth. |
format |
Article |
author |
Jain Yassin, Sarma Aralas, |
spellingShingle |
Jain Yassin, Sarma Aralas, The service sector and carbon emission nexus: revisiting Environmental Kuznets Curve |
author_facet |
Jain Yassin, Sarma Aralas, |
author_sort |
Jain Yassin, |
title |
The service sector and carbon emission nexus: revisiting
Environmental Kuznets Curve |
title_short |
The service sector and carbon emission nexus: revisiting
Environmental Kuznets Curve |
title_full |
The service sector and carbon emission nexus: revisiting
Environmental Kuznets Curve |
title_fullStr |
The service sector and carbon emission nexus: revisiting
Environmental Kuznets Curve |
title_full_unstemmed |
The service sector and carbon emission nexus: revisiting
Environmental Kuznets Curve |
title_sort |
service sector and carbon emission nexus: revisiting
environmental kuznets curve |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
publishDate |
2020 |
url |
http://journalarticle.ukm.my/16876/1/jeko_54%282%29-10.pdf http://journalarticle.ukm.my/16876/ https://www.ukm.my/fep/jem/content/2020-2.html |
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1703961602807562240 |
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13.211869 |