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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mohamed F. Abd El-Aal & Marwa Samir Hegazy & Abdelsamiea Tahsin Abdelsamiea, 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, Econjournals, vol. 14(3), pages 127-137, May.
    • Handle: RePEc:eco:journ2:2024-03-14
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    References listed on IDEAS

    as
    1. Rehman, Mobeen Ur & Rashid, Mushab, 2017. "Energy consumption to environmental degradation, the growth appetite in SAARC nations," Renewable Energy, Elsevier, vol. 111(C), pages 284-294.
    2. Esso, Loesse Jacques & Keho, Yaya, 2016. "Energy consumption, economic growth and carbon emissions: Cointegration and causality evidence from selected African countries," Energy, Elsevier, vol. 114(C), pages 492-497.
    3. World Bank, 2012. "World Development Indicators 2012," World Bank Publications - Books, The World Bank Group, number 6014.
    4. Tsai, Bi-Huei & Chang, Chih-Jen & Chang, Chun-Hsien, 2016. "Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models," Energy, Elsevier, vol. 100(C), pages 416-424.
    5. Oluyomi A. Osobajo & Afolabi Otitoju & Martha Ajibola Otitoju & Adekunle Oke, 2020. "The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    6. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "CO2 emissions, nuclear energy, renewable energy and economic growth in the US," Energy Policy, Elsevier, vol. 38(6), pages 2911-2915, June.
    7. Omri, Anis, 2013. "CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models," Energy Economics, Elsevier, vol. 40(C), pages 657-664.
    8. Tashman, Leonard J., 2000. "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, Elsevier, vol. 16(4), pages 437-450.
    9. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    10. Wu, X.F. & Chen, G.Q., 2017. "Energy use by Chinese economy: A systems cross-scale input-output analysis," Energy Policy, Elsevier, vol. 108(C), pages 81-90.
    11. Chaido Dritsaki & Melina Dritsaki, 2014. "Causal Relationship between Energy Consumption, Economic Growth and CO2 Emissions: A Dynamic Panel Data Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 125-136.
    12. Kasman, Adnan & Duman, Yavuz Selman, 2015. "CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis," Economic Modelling, Elsevier, vol. 44(C), pages 97-103.
    13. Wang, S.S. & Zhou, D.Q. & Zhou, P. & Wang, Q.W., 2011. "CO2 emissions, energy consumption and economic growth in China: A panel data analysis," Energy Policy, Elsevier, vol. 39(9), pages 4870-4875, September.
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    More about this item

    Keywords

    Climate Change; CO2 Emissions; GDP Growth; Energy Consumption; Urbanization; Machine Learning;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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