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<p>This paper examines the decomposition of electricity-related CO<sub>2</sub> emissions in Greece from 2013 to 2023. The Logarithmic Mean Divisia Index (LMDI) technique is applied to decompose changes in CO<sub>2</sub> emissions into four conventional factors: the Carbon Intensity effect, the Fuel Share effect, the Energy Intensity effect, and the Activity effect. The results indicate that emissions declined by approximately 7.1 MtCO₂, with changes in the fuel mix constituting the dominant mitigation driver (− 50.8%), followed by improvements in energy and carbon intensity: on the contrary, the Income effect exerted an offsetting upward impact on the evolution of electricity-related CO<sub>2</sub> emissions (+ 16.3%). From a methodological perspective, the study advances the standard LMDI framework by explicitly introducing a Carbon Capture and Storage (CCS) factor into the decomposition identity, enabling the quantification of the CCS effect as a distinct emission-reducing driver. Under this extended scenario, CCS accounts for approximately 73% of the potential reduction in power-sector CO₂ emissions in 2023, outweighing all conventional drivers. Finally, conclusions, limitations, and future research directions are presented.</p>

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Decomposition Analysis of CO2 Emissions from Electricity Generation in Greece: Integrating the Effect of Carbon Capture and Storage

  • 期刊论文

  • 发表日期：

    2026年2月20日

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  • Emmanouil Hatzigeorgiou

摘要

This paper examines the decomposition of electricity-related CO2 emissions in Greece from 2013 to 2023. The Logarithmic Mean Divisia Index (LMDI) technique is applied to decompose changes in CO2 emissions into four conventional factors: the Carbon Intensity effect, the Fuel Share effect, the Energy Intensity effect, and the Activity effect. The results indicate that emissions declined by approximately 7.1 MtCO₂, with changes in the fuel mix constituting the dominant mitigation driver (− 50.8%), followed by improvements in energy and carbon intensity: on the contrary, the Income effect exerted an offsetting upward impact on the evolution of electricity-related CO2 emissions (+ 16.3%). From a methodological perspective, the study advances the standard LMDI framework by explicitly introducing a Carbon Capture and Storage (CCS) factor into the decomposition identity, enabling the quantification of the CCS effect as a distinct emission-reducing driver. Under this extended scenario, CCS accounts for approximately 73% of the potential reduction in power-sector CO₂ emissions in 2023, outweighing all conventional drivers. Finally, conclusions, limitations, and future research directions are presented.