The Impact of Clean and Dirty Energies on Gulf Cooperation Council (GCC) Sectoral Indices: A Quantile Connectedness Model Analysis

The world is increasingly relying on renewable energy sources such as wind and solar, reducing dependence on limited fossil fuels as nature's consumption continues to exceed renewability. This study uses the quantile connectivity approach to examine the impact of clean and dirty energy on different Gulf Cooperation Council (GCC) economic sectors using data from 2 January 2018 to 17 June 2022. The study revealed that the correlation between clean and dirty energy is 82.60%. The correlation between dirty energy and GCC sector indices is particularly strong in 2021. The clean and dirty energy indices are weak receivers at lower and higher quantiles in 2020 and 2021 and become weak transmitters in 2022. The transmission intensity of clean energy and dirty energy was high around 2022. GGSS becomes the weakest receiver of spillover shocks, followed by GCCI, GAE, and RCE, while GCCF, GCCE, GCCB, and GCCC become net transmitters. The study’s findings document that clean and dirty energy indices are weak recipients and transmitters of spillover shock. It concludes that since the GCC's service sector has minimal connection to other industries, it offers the greatest diversification opportunity. Moreover, policymakers should prioritize energy efficiency and climate transparency to build resilient and sustainable economies.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19346643
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

The Impact of Clean and Dirty Energies on Gulf Cooperation Council (GCC) Sectoral Indices: A Quantile Connectedness Model Analysis

Uzair Abdullah Khan, Mohammad Rahim Shahzad, Dr Shabeer Khan
Zenodo (CERN European Organization for Nuclear Research)
Energy, Environment, Economic Growth
article

The Impact of Clean and Dirty Energies on Gulf Cooperation Council (GCC) Sectoral Indices: A Quantile Connectedness Model Analysis

Uzair Abdullah Khan, Mohammad Rahim Shahzad, Dr Shabeer Khan
article en

Abstract

The world is increasingly relying on renewable energy sources such as wind and solar, reducing dependence on limited fossil fuels as nature's consumption continues to exceed renewability. This study uses the quantile connectivity approach to examine the impact of clean and dirty energy on different Gulf Cooperation Council (GCC) economic sectors using data from 2 January 2018 to 17 June 2022. The study revealed that the correlation between clean and dirty energy is 82.60%. The correlation between dirty energy and GCC sector indices is particularly strong in 2021. The clean and dirty energy indices are weak receivers at lower and higher quantiles in 2020 and 2021 and become weak transmitters in 2022. The transmission intensity of clean energy and dirty energy was high around 2022. GGSS becomes the weakest receiver of spillover shocks, followed by GCCI, GAE, and RCE, while GCCF, GCCE, GCCB, and GCCC become net transmitters. The study’s findings document that clean and dirty energy indices are weak recipients and transmitters of spillover shock. It concludes that since the GCC's service sector has minimal connection to other industries, it offers the greatest diversification opportunity. Moreover, policymakers should prioritize energy efficiency and climate transparency to build resilient and sustainable economies.

Zenodo (CERN European Organization for Nuclear Research)
Sakarya University (TR), Al Yamamah University (SA), Sukkur IBA University (PK)
Openalex Percentile: Top 27%
Energy, Environment, Economic Growth
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The Impact of Clean and Dirty Energies on Gulf Cooperation Council (GCC) Sectoral Indices: A Quantile Connectedness Model Analysis — Uzair Abdullah Khan, Mohammad Rahim Shahzad, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS