Climate Change–GDP Nexus for GCC Countries: Environmental Kuznets Curve Hypothesis

This study explores the Environmental Kuznets Curve (EKC) hypothesis, focusing on the relationship between economic growth and carbon dioxide (CO2) emissions in oil-exporting countries, specifically the Gulf Cooperation Council (GCC) nations, during the period from 2001 to 2022. Using a panel data approach, the research includes various diagnostic tests such as stationarity tests, serial correlation tests, pooled ordinary least squares, fixed and random effects models, chi-square tests, cointegration tests, and causality tests. The results support the EKC hypothesis within the GCC, revealing a statistically significant positive impact of gross domestic product (GDP) growth on CO2 emissions (p < 0.05), with evidence of a bidirectional causality between GDP growth and CO2 emissions (p < 0.05). However, the study’s scope is limited to the GCC countries, which may constrain the applicability of the findings to regions with different economic and energy structures. Nonetheless, it highlights the critical need for GCC nations to adopt policies focused on clean energy, energy reform, and sustainable development to address rising emissions while balancing economic growth. This study’s contribution lies in its critical evaluation of the EKC hypothesis and its focus on the environmental effects of economic growth, using the GCC region as a case study.

Authors

Institutions

Publication Details

Journal
Sustainability and Climate Change
Published
2024-12-01
DOI
https://doi.org/10.1089/scc.2024.0127
Citations
3
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate Change–GDP Nexus for GCC Countries: Environmental Kuznets Curve Hypothesis

Mohamed Sayed Abou Elseoud, Suad Altaei, Fahad Alkhaldi
3 citations
Sustainability and Climate Change
Energy, Environment, Economic Growth
3.39
article

Climate Change–GDP Nexus for GCC Countries: Environmental Kuznets Curve Hypothesis

Mohamed Sayed Abou Elseoud, Suad Altaei, Fahad Alkhaldi
article en
3 citations

Abstract

This study explores the Environmental Kuznets Curve (EKC) hypothesis, focusing on the relationship between economic growth and carbon dioxide (CO2) emissions in oil-exporting countries, specifically the Gulf Cooperation Council (GCC) nations, during the period from 2001 to 2022. Using a panel data approach, the research includes various diagnostic tests such as stationarity tests, serial correlation tests, pooled ordinary least squares, fixed and random effects models, chi-square tests, cointegration tests, and causality tests. The results support the EKC hypothesis within the GCC, revealing a statistically significant positive impact of gross domestic product (GDP) growth on CO2 emissions (p < 0.05), with evidence of a bidirectional causality between GDP growth and CO2 emissions (p < 0.05). However, the study’s scope is limited to the GCC countries, which may constrain the applicability of the findings to regions with different economic and energy structures. Nonetheless, it highlights the critical need for GCC nations to adopt policies focused on clean energy, energy reform, and sustainable development to address rising emissions while balancing economic growth. This study’s contribution lies in its critical evaluation of the EKC hypothesis and its focus on the environmental effects of economic growth, using the GCC region as a case study.

Sustainability and Climate ChangeVol. 17(6)
University of Bahrain (BH), Sadat Academy for Management Sciences (EG)
Climate action
Openalex Percentile: Top 6%
Energy, Environment, Economic Growth
3.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.