The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach

This article examines the asymmetric relationship between electric consumption, economic growth, and carbon dioxide emission in 15 countries over the period 1971&#8722;2014. We employed a nonlinear auto-regressive distribution Lag (NARDL) model approach to investigate the asymmetric cointegratio...

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Main Authors: Philip Chukwunonso Bosah, Shixiang Li, Gideon Kwaku Minua Ampofo, Daniel Akwasi Asante, Zhanqi Wang
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/5/1258
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spelling doaj-c13139c066a54f66bd727a39d119fe9f2020-11-25T02:27:36ZengMDPI AGEnergies1996-10732020-03-01135125810.3390/en13051258en13051258The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality ApproachPhilip Chukwunonso Bosah0Shixiang Li1Gideon Kwaku Minua Ampofo2Daniel Akwasi Asante3Zhanqi Wang4School of Public Administration, China University of Geosciences, Lumo Road 388, Wuhan 430074, ChinaPublic Administration Department, Mineral Resources Strategy and Policy Research Center, China University of Geosciences, Lumo Road 388, Wuhan 430074, ChinaDepartment of Applied Economics, China University of Geosciences, Lumo Road 388, Wuhan 430074, ChinaDepartment of Applied Economics, China University of Geosciences, Lumo Road 388, Wuhan 430074, ChinaSchool of Public Administration, China University of Geosciences, Lumo Road 388, Wuhan 430074, ChinaThis article examines the asymmetric relationship between electric consumption, economic growth, and carbon dioxide emission in 15 countries over the period 1971&#8722;2014. We employed a nonlinear auto-regressive distribution Lag (NARDL) model approach to investigate the asymmetric cointegration between variables. Additionally, we applied the asymmetric causality approach to determine the causal relationship between variables. Results confirm nonlinear cointegration between variables in Cameroon, Congo Republic, Zambia, Canada, and the UK. The Wald test results confirm a long-run asymmetric link between electricity consumption, economic growth, and carbon emission in Canada and Cameroon, while a short-run asymmetric effect in the Congo Republic and the UK. Findings from the granger causality test are volatile across variables. The result provides strong support for the symmetric relationship between electric consumption, economic growth, and carbon emission in the short and long run. This study provides new evidence for policymakers to formulate country-specific policies to obtain better environmental quality while achieving sustainable economic growth.https://www.mdpi.com/1996-1073/13/5/1258electricity consumptioneconomic growthcarbon emissionasymmetric causalityasymmetric cointegration
collection DOAJ
language English
format Article
sources DOAJ
author Philip Chukwunonso Bosah
Shixiang Li
Gideon Kwaku Minua Ampofo
Daniel Akwasi Asante
Zhanqi Wang
spellingShingle Philip Chukwunonso Bosah
Shixiang Li
Gideon Kwaku Minua Ampofo
Daniel Akwasi Asante
Zhanqi Wang
The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
Energies
electricity consumption
economic growth
carbon emission
asymmetric causality
asymmetric cointegration
author_facet Philip Chukwunonso Bosah
Shixiang Li
Gideon Kwaku Minua Ampofo
Daniel Akwasi Asante
Zhanqi Wang
author_sort Philip Chukwunonso Bosah
title The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
title_short The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
title_full The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
title_fullStr The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
title_full_unstemmed The Nexus Between Electricity Consumption, Economic Growth, and CO<sub>2</sub> Emission: An Asymmetric Analysis Using Nonlinear ARDL and Nonparametric Causality Approach
title_sort nexus between electricity consumption, economic growth, and co<sub>2</sub> emission: an asymmetric analysis using nonlinear ardl and nonparametric causality approach
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-03-01
description This article examines the asymmetric relationship between electric consumption, economic growth, and carbon dioxide emission in 15 countries over the period 1971&#8722;2014. We employed a nonlinear auto-regressive distribution Lag (NARDL) model approach to investigate the asymmetric cointegration between variables. Additionally, we applied the asymmetric causality approach to determine the causal relationship between variables. Results confirm nonlinear cointegration between variables in Cameroon, Congo Republic, Zambia, Canada, and the UK. The Wald test results confirm a long-run asymmetric link between electricity consumption, economic growth, and carbon emission in Canada and Cameroon, while a short-run asymmetric effect in the Congo Republic and the UK. Findings from the granger causality test are volatile across variables. The result provides strong support for the symmetric relationship between electric consumption, economic growth, and carbon emission in the short and long run. This study provides new evidence for policymakers to formulate country-specific policies to obtain better environmental quality while achieving sustainable economic growth.
topic electricity consumption
economic growth
carbon emission
asymmetric causality
asymmetric cointegration
url https://www.mdpi.com/1996-1073/13/5/1258
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