School of Economics, Ocean University of China, Qingdao, China.
Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China.
Front Public Health. 2021 Jun 18;9:695664. doi: 10.3389/fpubh.2021.695664. eCollection 2021.
This paper discusses the impact of air pollution on medical expenditure in eastern, central, and western China by applying the fixed-effect model, random-effect model, and panel threshold regression model. According to theoretical and empirical analyses, there are different relationships between the two indexes in different regions of China. For eastern and central regions, it is obvious that the more serious the air pollution is, the more medical expenses there are. However, there is a non-linear single threshold effect between air pollution and health care expenditure in the western region. When air pollution is lower than this value, there is a negative correlation between them. Conversely, the health care expenditure increases with the aggravation of air pollution, but the added value is not enough to make up for the health problems caused by air pollution. The empirical results are basically consistent with the theoretical analysis, which can provide enlightenment for the government to consider the role of air pollution in medical expenditure. Policymakers should arrange the medical budget reasonably, according to its situation, to make up for the loss caused by air pollution.
本文运用固定效应模型、随机效应模型和面板门槛回归模型,探讨了空气污染对中国东部、中部和西部地区医疗支出的影响。根据理论和实证分析,中国不同地区这两个指标之间存在不同的关系。对于东部和中部地区,空气污染越严重,医疗费用越高,这一关系非常明显。然而,在西部地区,空气污染和医疗保健支出之间存在非线性单门槛效应。当空气污染低于这个值时,两者之间呈负相关关系。相反,随着空气污染的加剧,医疗保健支出会增加,但增加值不足以弥补空气污染带来的健康问题。实证结果与理论分析基本一致,这为政府考虑空气污染在医疗支出中的作用提供了启示。决策者应根据其情况合理安排医疗预算,以弥补空气污染造成的损失。