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

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.