Drivers in CO2 emissions variation: a decomposition analysis for 33 world countries

Valeria, Andreoni and Stefano, Galmarini (2016) Drivers in CO2 emissions variation: a decomposition analysis for 33 world countries. Energy Journal, 103. pp. 27-37. ISSN 0360-5442

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Abstract

A decomposition analysis of energy related CO2 emissions is carried out for 33 world countries. The data pertain to the period 1995-2007. The methodology used is the Index Decomposition Analysis that allows to investigate the contribution of the following factors: (i) changes in abatement technologies, fuel quality and fuel switching; (ii) changes in the structure and efficiency of the energy system; (iii) relative ranking of a country in terms of the total Gross Domestic Product (GDP) generation and (iv) changes of the country specific total economic activity. The World Input Output Database (WIOD) has been used together with OECD data on GDP. Results show that economic growth has been the main driving factor of energy related CO2 emissions increase. However, in fast developing countries like India and China, an important contribution has also been the increasing role that these economies are playing in the global economic panorama. Improvements on energy efficiency have been the main element contributing to reduce the overall CO2 emission increase in all the countries considered in this study.

Item Type:	Article
Additional Information and Comments:	NOTICE: this is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, [VOL 103,(15 May 2016)] DOI: http://dx.doi.org/10.1016/j.energy.2016.02.096
Faculty / Department:	Faculty of Business, Law and Criminology > Liverpool Hope Business School
Depositing User:	Valeria Andreoni
Date Deposited:	21 Sep 2016 14:09
Last Modified:	28 Jan 2018 16:32
URI:	https://hira.hope.ac.uk/id/eprint/1266

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