Role of Economic Expansion, Energy Utilization and Urbanization on Climate Change in Egypt based on Artificial Intelligence


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Authors

  • Mohamed F. Abd El-Aal Department of Economics, Faculty of Commerce, Arish University, North Sinai, Egypt
  • Marwa Samir Hegazy Department of Economics, Faculty of Commerce, Mansoura University, Egypt
  • Abdelsamiea Tahsin Abdelsamiea Department of Economics, Faculty of Commerce, Mansoura University, Egypt

DOI:

https://doi.org/10.32479/ijeep.15607

Keywords:

Climate Change, CO2 Emissions, GDP Growth, Energy Consumption, Urbanization, Machine Learning

Abstract

This study employs machine-learning algorithms (ML), specifically Random Forest (RF) and Gradient Boosting (GB), to assess the impact of various factors, including Gross Domestic Product (GDP) growth, urbanization, and energy consumption, on carbon dioxide emissions (CO2). The research underscores the RF algorithm's superior accuracy in determining independent variables' influence on CO2 emissions compared to GB. Furthermore, the study reveals that natural gas is the most significant contributor to CO2 emissions in Egypt, accounting for 49.7% of the total, followed closely by oil at 46.7%. The effect of other variables on CO2 emissions is relatively minimal. The findings also establish a strong positive correlation between the consumption of natural gas, oil, and coal and CO2 emissions in Egypt. Additionally, a negative relationship is observed between GDP growth, suggesting a positive trend in environmentally friendly economic expansion and urbanization on CO2 emissions in Egypt. This unique scenario, where urban expansion appears to have an inverse relationship with CO2 emissions, sets Egypt apart from many other countries and signifies a favorable environmental outcome.

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Published

2024-05-08

How to Cite

El-Aal, M. F. A., Hegazy, M. S., & Abdelsamiea, A. T. (2024). Role of Economic Expansion, Energy Utilization and Urbanization on Climate Change in Egypt based on Artificial Intelligence. International Journal of Energy Economics and Policy, 14(3), 127–137. https://doi.org/10.32479/ijeep.15607

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Section

Articles