Advances in Economics, Management and Political Sciences

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Proceedings of the 2023 International Conference on Management Research and Economic Development

Series Vol. 24 , 13 September 2023


Open Access | Article

Exploring the Impact of CO2 Emissions, GDP, and Health Expenditure on Individual Life Expectancy

Xinyu Chang * 1
1 University of Washington

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 24, 114-129
Published 13 September 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Xinyu Chang. Exploring the Impact of CO2 Emissions, GDP, and Health Expenditure on Individual Life Expectancy. AEMPS (2023) Vol. 24: 114-129. DOI: 10.54254/2754-1169/24/20230424.

Abstract

Understanding the link between a person's health spending and their Gross Domestic Product (GDP) can have important effects on policy decisions at both the individual and national level. The research mainly explores the impact of individual CO2 emissions, GDP, and health expenditure on individual life expectancy. The study, through a method of quantitative data analysis, analyses existing data and explores the relationships between independent variables and dependent variables. The author uses the decision tree model and a linear regression model to predict the impact of these factors on life expectancy. The study aims to understand the trends and patterns in the distribution and outliers of individual GDP/CO2 Emissions/Life Expectancy/Health Expenditure datasets across 261 countries from 2000 to 2019. The research finds that individual health expenditure has a positive impact on individual life expectancy, while GDP level and CO2 emissions have a negative impact. The study also explores the greatest impact of these independent variables on an individual's life expectancy and how changing the maximum depth of the decision tree affects model accuracy and feature importance. Overall, the study provides insights into the relationships between these variables and their impact on individual life expectancy, which has important implications for policy and interventions aimed at promoting public health and environmental sustainability.

Keywords

CO2 emissions, GDP, health expenditure, life expectancy, decision tree model, linear regression model

References

1. Zhang, Y., & Shao, S. (2021). The impact of carbon dioxide emissions on global health: a systematic review. International Journal of Environmental Research and Public Health, 18(1), 116.

2. Ezzati, M., & Kammen, D. M. (2002). The health impacts of exposure to indoor air pollution from solid fuels in developing countries: knowledge, gaps, and data needs. Environmental Health Perspectives, 110(11), 1057-1068.

3. Bloom, D. E., Canning, D., & Sevilla, J. (2004). The effect of health on economic growth: a production function approach. World Development, 32(1), 1-13.

4. World Health Organization. (2018). World health statistics 2018: monitoring health for the SDGs. World Health Organization.

5. OECD. (2019). Health at a Glance 2019: OECD indicators. OECD Publishing.

6. Earth - Place Explorer. (n.d.). Data Commons. Retrieved March 6, 2023, from https://datacommons.org/place/Earth?utm_medium=explore&mprop=lifeExpectancy&popt=Person&hl=en

7. Roser, M., Ortiz, E., & Ritchie, H. (n.d.). Life Expectancy. Our World in Data. Retrieved March 6, 2023, from https://ourworldindata.org/life-expectancy#citation

8. Frenk, J., Chen, L., Bhutta, Z. A., Cohen, J., Crisp, N., Evans, T., ... & Zurayk, H. (2019). Health professionals for a new century: transforming education to strengthen health systems in an interdependent world. The Lancet, 376(9756), 1923-1958.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Management Research and Economic Development
ISBN (Print)
978-1-915371-91-1
ISBN (Online)
978-1-915371-92-8
Published Date
13 September 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/24/20230424
Copyright
13 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated