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CO2emissions, economic growth, and energy use in the Middle East countries: A panel VAR approach

Name: CO 2 emissions, economic growth, and energy use in the Middle East countries: A panel VAR approach
Creator: COSIMO MAGAZZINO
Keywords: 020209 energy, CO2 emissions, economic growth, energy use, Middle East, GCC, panel data, 1. No poverty, Middle-East, 02 engineering and technology, CO2 emissions, economic growth, energy use, 02020901 Energy policy/Renewable energy commercialization/Renewable energy, 13. Climate action

descriptionPublicationkeyboard_double_arrow_right Article , Journal 02 Oct 2016 Italy Publisher:Informa UK LimitedJournal:Energy Sources, Part B: Economics, Planning, and Policy, volume 11, pages 960-968 (issn: 1556-7249, eissn: 1556-7257,

Authors: COSIMO MAGAZZINO;

doi: 10.1080/15567249.2014.940092

handle: 11590/137719

CO2emissions, economic growth, and energy use in the Middle East countries: A panel VAR approach

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Abstract

The article explores the nexus between carbon dioxide emissions, economic growth, and energy use for 10 Middle East countries over the period 1971–2006. We use a panel VAR technique for the empiric...

Country

Italy

Related Organizations

Roma Tre University
Italy
Roma Tre University
Italy

Keywords

CO2 emissions, economic growth, energy use, Middle East, GCC, panel data, Middle-East, CO2 emissions, economic growth, energy use, GCC, Panel data

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	74
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%