Assessing the relationship between global health spending and carbon emissions using a gradient-boosting algorithm

  • Abdelsamiea Abdelsamiea Department of Economics, College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU)
  • Elsayed Elashkar Department of Administrative and Financial Sciences, College of Applied Studies, King Saud University, Saudi Arabia
  • Mohammad Zayed Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Saudi Arabia.
  • Mohamed Abd El-Aal Department of Economics, Faculty of Commerce, Arish University, North Sinai, Egypt
DOI: https://doi.org/10.19139/soic-2310-5070-2858
Keywords: CO2 emissions, Gradient-Boosting Algorithm, Global Health Spending, GDP per capita

Abstract

This paper examines the relationship between global health spending, CO2 emissions, the population aged 65 and above, GDP per capita growth, and GDP growth, utilizing a gradient-boosting algorithm. The paper confirms that the population aged 65 and older significantly influences current health expenditures (at 93%), GDP per capita growth (at 3%), and GDP growth and CO2 emissions, each contributing 2%. Additionally, the paper demonstrates a strong positive relationship between current health expenditures, the population aged 65 and older, and CO2 emissions. Conversely, there is a negative relationship between current health expenditures and both GDP growth and GDP per capita growth. This suggests that the world is optimistic about the transition to clean energy, which could lead to a decline in diseases and potentially reallocate part of health spending to other economic areas.
Published
2025-11-06
How to Cite
Abdelsamiea, A., Elashkar, E., Zayed, M., & Abd El-Aal, M. (2025). Assessing the relationship between global health spending and carbon emissions using a gradient-boosting algorithm. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-2858
Issue
Online First
Section
Research Articles
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