Analyzing the effect of natural gas, nuclear energy and renewable energy on GDP and carbon emissions: A multi-variate panel data analysis

Internationally, the importance of clean energy is greatly appreciated in the context of sustainable development and to protect the atmosphere. Therefore, the objective of this article is to determine the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and c...

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Vydáno v:	Energy (Oxford) Ročník 219; s. 119592
Hlavní autoři:	Azam, Anam, Rafiq, Muhammad, Shafique, Muhammad, Zhang, Haonan, Yuan, Jiahai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 15.03.2021 Elsevier BV
Témata:	carbon Carbon dioxide Carbon dioxide emissions Causality Clean energy Climate change CO2 emission Context Data analysis Economic development Economic growth Economics Elasticity energy Energy consumption GDP Global warming Integration Longitudinal studies Natural gas Nuclear energy Nuclear engineering nuclear power Nuclear reactors Renewable energy renewable energy sources Renewable resources Sustainable development Nuclear energy GDP Renewable energy CO2 emission Natural gas
ISSN:	0360-5442, 1873-6785
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Internationally, the importance of clean energy is greatly appreciated in the context of sustainable development and to protect the atmosphere. Therefore, the objective of this article is to determine the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and carbon dioxide emissions in the ten highest CO2 emitting countries within a multivariate context for the duration of 1990–2014. The panel co-integration test, panel fully modified ordinary least squares and panel heterogonous Dumitrescu and Hurlin causality assessment are used to analyze the estimation of long-run elasticity along with the course of causality among the variables. The panel co-integration test confirms the existence of a long-run equilibrium correlation among the variables. The findings of the long run elasticity and causality test reveal that natural gas does not contribute to economic growth and CO2 reduction like nuclear energy and renewable energy. However, except for natural gas, the expansion and improvement of renewable energy and nuclear energy are vital to avoid global warming and climate change as well as to promote economic growth. •Assessed long term impacts of Renewable Energy, Financial Development and Nuclear Energy on CO2 emissions.•Evaluate the energy consumptions and GDP effects on carbon footprints.•Renewable Energy and Nuclear Energy lead to significant conditions to clean energy production.•Results can help policymakers in the enactment of future policies with carbon emission abatement.
AbstractList	Internationally, the importance of clean energy is greatly appreciated in the context of sustainable development and to protect the atmosphere. Therefore, the objective of this article is to determine the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and carbon dioxide emissions in the ten highest CO2 emitting countries within a multivariate context for the duration of 1990–2014. The panel co-integration test, panel fully modified ordinary least squares and panel heterogonous Dumitrescu and Hurlin causality assessment are used to analyze the estimation of long-run elasticity along with the course of causality among the variables. The panel co-integration test confirms the existence of a long-run equilibrium correlation among the variables. The findings of the long run elasticity and causality test reveal that natural gas does not contribute to economic growth and CO2 reduction like nuclear energy and renewable energy. However, except for natural gas, the expansion and improvement of renewable energy and nuclear energy are vital to avoid global warming and climate change as well as to promote economic growth. Internationally, the importance of clean energy is greatly appreciated in the context of sustainable development and to protect the atmosphere. Therefore, the objective of this article is to determine the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and carbon dioxide emissions in the ten highest CO2 emitting countries within a multivariate context for the duration of 1990–2014. The panel co-integration test, panel fully modified ordinary least squares and panel heterogonous Dumitrescu and Hurlin causality assessment are used to analyze the estimation of long-run elasticity along with the course of causality among the variables. The panel co-integration test confirms the existence of a long-run equilibrium correlation among the variables. The findings of the long run elasticity and causality test reveal that natural gas does not contribute to economic growth and CO2 reduction like nuclear energy and renewable energy. However, except for natural gas, the expansion and improvement of renewable energy and nuclear energy are vital to avoid global warming and climate change as well as to promote economic growth. •Assessed long term impacts of Renewable Energy, Financial Development and Nuclear Energy on CO2 emissions.•Evaluate the energy consumptions and GDP effects on carbon footprints.•Renewable Energy and Nuclear Energy lead to significant conditions to clean energy production.•Results can help policymakers in the enactment of future policies with carbon emission abatement. Internationally, the importance of clean energy is greatly appreciated in the context of sustainable development and to protect the atmosphere. Therefore, the objective of this article is to determine the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and carbon dioxide emissions in the ten highest CO₂ emitting countries within a multivariate context for the duration of 1990–2014. The panel co-integration test, panel fully modified ordinary least squares and panel heterogonous Dumitrescu and Hurlin causality assessment are used to analyze the estimation of long-run elasticity along with the course of causality among the variables. The panel co-integration test confirms the existence of a long-run equilibrium correlation among the variables. The findings of the long run elasticity and causality test reveal that natural gas does not contribute to economic growth and CO₂ reduction like nuclear energy and renewable energy. However, except for natural gas, the expansion and improvement of renewable energy and nuclear energy are vital to avoid global warming and climate change as well as to promote economic growth.
ArticleNumber	119592
Author	Zhang, Haonan Azam, Anam Shafique, Muhammad Yuan, Jiahai Rafiq, Muhammad
Author_xml	– sequence: 1 givenname: Anam surname: Azam fullname: Azam, Anam organization: School of Economics and Management, North China Electric Power University, Beijing 102206, China – sequence: 2 givenname: Muhammad surname: Rafiq fullname: Rafiq, Muhammad organization: Department of Electrical Engineering, University of Engineering and Technology, Taxila 47050, Pakistan – sequence: 3 givenname: Muhammad surname: Shafique fullname: Shafique, Muhammad organization: Department of Architecture and Civil Engineering, City University of Hong Kong 999077, Hong Kong – sequence: 4 givenname: Haonan surname: Zhang fullname: Zhang, Haonan organization: School of Economics and Management, North China Electric Power University, Beijing 102206, China – sequence: 5 givenname: Jiahai surname: Yuan fullname: Yuan, Jiahai email: yuanjh126@126.com organization: School of Economics and Management, North China Electric Power University, Beijing 102206, China
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Copyright	2020 Elsevier Ltd Copyright Elsevier BV Mar 15, 2021
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SubjectTerms	carbon Carbon dioxide Carbon dioxide emissions Causality Clean energy Climate change CO2 emission Context Data analysis Economic development Economic growth Economics Elasticity energy Energy consumption GDP Global warming Integration Longitudinal studies Natural gas Nuclear energy Nuclear engineering nuclear power Nuclear reactors Renewable energy renewable energy sources Renewable resources Sustainable development
Title	Analyzing the effect of natural gas, nuclear energy and renewable energy on GDP and carbon emissions: A multi-variate panel data analysis
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