Life Expectancy at Birth and Environmental Degradation Link in Countries with High Air Pollution

Guller Sahin
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Abstract

The aim of this study is to examine the effects of PM2.5 air pollution, public health expenditures, fertility and mortality rates on life expectancy at birth between 2000-2019 in a total of 32 countries, which are in the categories of countries with hazardous, very unhealthy and unhealthy air pollution in the World Air Quality Report (2021), using a panel quantile regression model. Correlation analysis, multicollinearity, normality tests and Hausman test methodologies are followed in line with the aim. Panel quantile regression analysis is performed for the consecutive 10th-90th quantile range, and the findings are interpreted by estimating with robust standard errors for the case where the heterogeneity assumption is confirmed. In the estimation results with robust standard errors, it is reached that all variables in the model are statistically significant at 1% significance level. According to the results, a 5% increase in PM2.5 air pollution, fertility and mortality rates decreases life expectancy at birth by ~0.02%, ~0.17% and ~0.09%, respectively, while a 1% increase in health expenditures increases life expectancy at birth by ~0.04%. In this context, it is seen that the variable that affects life expectancy at birth the most is the fertility rate, and the variable that affects the least is PM2.5 air pollution.
在空气污染严重的国家,出生时预期寿命与环境退化有关
本研究的目的是使用面板分位数回归模型,研究2000年至2019年期间PM2.5空气污染、公共卫生支出、生育率和死亡率对32个国家出生时预期寿命的影响,这些国家属于《世界空气质量报告》(2021年)中危险、非常不健康和不健康空气污染的国家类别。根据目的,采用相关分析、多重共线性、正态性检验和Hausman检验方法。对连续的第10 -90个分位数范围进行面板分位数回归分析,在异质性假设得到证实的情况下,通过稳健的标准误差估计来解释结果。在具有稳健标准误差的估计结果中,达到模型中所有变量在1%显著性水平下具有统计学显著性。结果显示,PM2.5空气污染水平每增加5%,生育率和死亡率分别使出生时预期寿命下降~0.02%、~0.17%和~0.09%,而卫生支出每增加1%,出生时预期寿命增加~0.04%。在此背景下,可以看到,对出生时预期寿命影响最大的变量是生育率,影响最小的变量是PM2.5空气污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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