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. 2024 Jan 20:909:168528.
doi: 10.1016/j.scitotenv.2023.168528. Epub 2023 Nov 12.

Analysis of the carbon emissions trend in European Union. A decomposition and decoupling approach

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Free article

Analysis of the carbon emissions trend in European Union. A decomposition and decoupling approach

Vincenzo Bianco et al. Sci Total Environ. .
Free article

Abstract

This work is aimed to investigate the carbon emissions trend in the European Union. Logarithmic Mean Divisia Index and Tapio's methodology are used for decomposing the carbon emissions and investigating the decoupling factors respectively. Seven indexes are identified, namely carbon intensity of the energy sector, energy consumption structure, energy intensity, climatic factor, Gross Domestic Product per Capita, population distribution, and population evolution. These indexes are then grouped in three macro-categories, specifically technical factors, climatic effect, and socio-economic factors. The study covers the period 1995-2019 and considers EU 27 countries at an aggregate and individual level. Carbon emissions in EU 27 reduced of 689 Mt from 1995 to 2019. Technical factors are responsible for a decrease of 1723 Mt, the climatic effect determines a reduction of 362 Mt, whereas socio-economic factors cause an increase of 1397 Mt. The Strong Decoupling status is achieved in EU 27 in the period 1995-2019 with a decoupling index equal to -0.4. This means that carbon emissions reduced while Gross Domestic Product increased. To provide more precise insights, the paper also presents analyses at individual country level and the splitting in five temporal sub-periods.

Keywords: Carbon emissions; Decoupling; Energy consumption; LMDI decomposition; Tapio decomposition.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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