Evaluation of energy efficiency in GCC countries: a slack-based model and bootstrap approach considering CO2 emissions

Purpose This paper aims to evaluate energy efficiency in the Gulf Cooperation Council (GCC) countries between 2000 and 2023, taking into consideration some factors that determines energy consumption level in this region. Design/methodology/approach This study contributes to the ongoing debates on energy efficiency through a nonparametric Data Envelopment Analysis (DEA) approach, based on the Slack Based Measure (SBM) model with CO2 emissions as undesirable output. Moreover, to improve the robustness of the results, the analysis was complemented with the Bootstrap-DEA approach. Findings The results showed that the average inefficiency level in the GCC region was approximately 10%, with significant variation between countries. As a second stage analysis, the fixed-effects panel data model also reveals crucial economic and environmental factors that may affect efficiency. Originality/value The novelty of this study lies in the use of SBM model, which is a non-radial DEA approach that enables the authors to identify inefficiencies with higher precision as compared to traditional radial DEA models. The SBM model enables the inclusion of CO2 emissions as a “bad output” and leads to a more accurate and realistic measure of energy efficiency, considering environmental negative externalities.

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Publication Details

Journal
International Journal of Energy Sector Management
Published
2026-03-27
DOI
https://doi.org/10.1108/ijesm-08-2025-0060
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
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article

Evaluation of energy efficiency in GCC countries: a slack-based model and bootstrap approach considering CO2 emissions

Chawki EL-Moussawi, Whelsy Boungou, Pierre-Yves Roussel, Nancy Hijazi
International Journal of Energy Sector Management
Efficiency Analysis Using DEA
article

Evaluation of energy efficiency in GCC countries: a slack-based model and bootstrap approach considering CO2 emissions

Chawki EL-Moussawi, Whelsy Boungou, Pierre-Yves Roussel, Nancy Hijazi
article en

Abstract

Purpose This paper aims to evaluate energy efficiency in the Gulf Cooperation Council (GCC) countries between 2000 and 2023, taking into consideration some factors that determines energy consumption level in this region. Design/methodology/approach This study contributes to the ongoing debates on energy efficiency through a nonparametric Data Envelopment Analysis (DEA) approach, based on the Slack Based Measure (SBM) model with CO2 emissions as undesirable output. Moreover, to improve the robustness of the results, the analysis was complemented with the Bootstrap-DEA approach. Findings The results showed that the average inefficiency level in the GCC region was approximately 10%, with significant variation between countries. As a second stage analysis, the fixed-effects panel data model also reveals crucial economic and environmental factors that may affect efficiency. Originality/value The novelty of this study lies in the use of SBM model, which is a non-radial DEA approach that enables the authors to identify inefficiencies with higher precision as compared to traditional radial DEA models. The SBM model enables the inclusion of CO2 emissions as a “bad output” and leads to a more accurate and realistic measure of energy efficiency, considering environmental negative externalities.

International Journal of Energy Sector Management
Lebanese University (LB), Paris School of Business (FR), Université Paris 8 (FR), Paris School of Economics (FR)
Affordable and clean energy
Openalex Percentile: Top 6%
Efficiency Analysis Using DEA
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