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. 2024 Mar 25;10(7):e28212.
doi: 10.1016/j.heliyon.2024.e28212. eCollection 2024 Apr 15.

Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana

Eric Fosu Oteng-Abayie  1   2 , Foster Awindolla Asaki  1 , Emmanuel Duodu  1   3 , Sulemana Mahawiya  4 , Bright Akwasi Gyamfi  5
Affiliations

Decomposition analysis of electricity generation on carbon dioxide emissions in Ghana

Eric Fosu Oteng-Abayie et al. Heliyon. .

Abstract

This study analyses the factors driving CO2 emissions from electricity generation in Ghana from 1990 to 2020. Employing Logarithmic Mean Divisia Index (LMDI) and Autoregressive Distributed Lag (ARDL) techniques, the research decomposes electricity generation into different factors and assesses their impact on CO2 emissions, considering both short and long-run effects. The LMDI analysis reveals that the total CO2 emissions from electricity generation amount to 3.33%, with all factors contributing positively in each subperiod. Notably, fossil fuel intensity, production, and transformation factors exhibit substantial contributions of about 1.16%, 0.49%, and 0.48%, respectively. Contrastingly, the ARDL results highlight that only electricity intensity and production factors significantly increase CO2 emissions by about 0.20% and 0.09% (0.38% and 0.10%) in the short-run (long-run), while other factors contribute to a reduction in electricity generation emissions. Overall, we conclude that electricity intensity and production factors are the primary drivers of CO2 emissions from electricity generation in Ghana. Nevertheless, effective measures to address all decomposition factors is crucial for effective mitigation of electricity generation CO2 emissions.

Keywords: ARDL technique; CO2 emission; Decomposition analysis; Electricity generation; Logarithmic mean divisia index.

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Conflict of interest statement

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.

Figures

Fig. 1
Fig. 1
Trends of CO2 emissions and electricity generation.
Fig. 2
Fig. 2
Electric intensity and degree of electrification of energy.
Fig. 3
Fig. 3
Energy mix of electricity generation.
Fig. A1
Fig. A1
ARDL model stability test.
See this image and copyright information in PMC

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