Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Environ Sci Pollut Res Int. 2018 Jul;25(19):18853-18865. doi: 10.1007/s11356-018-2095-y. Epub 2018 May 1.
In recent years, along with rapid economic growth, China's environmental problems have become increasingly prominent. At the same time, the level of China's pollution has been growing rapidly, which has caused huge damages to the residents' health. In this regard, the public health expenditure ballooned as the environmental quality deteriorated in China. In this study, the effect of environmental pollution on residents' health expenditure is empirically investigated by employing the first-order difference generalized method of moments (GMM) method to control for potential endogeneity. Using a panel data of Chinese provinces for the period of 1998-2015, this study found that the environmental pollution (represented by SO and soot emissions) would indeed lead to the increase in the medical expenses of Chinese residents. At the current stage of economic development, an increase in SO and soot emissions per capita would push up the public health expenditure per capita significantly. The estimation results are quite robust for different types of regression specifications and different combinations of control variables. Some social and economic variables such as public services and education may also have remarkable influences on residential medical expenses through different channels.
近年来,随着经济的快速增长,中国的环境问题日益突出。与此同时,中国的污染水平也在迅速上升,这对居民的健康造成了巨大的损害。在这方面,随着中国环境质量的恶化,公共卫生支出也大幅膨胀。本研究通过采用一阶差分广义矩法(GMM)来控制潜在的内生性,实证考察了环境污染对居民卫生支出的影响。利用 1998-2015 年中国各省的面板数据,本研究发现环境污染(以 SO 和烟尘排放表示)确实会导致中国居民医疗费用的增加。在当前的经济发展阶段,人均 SO 和烟尘排放量的增加将显著推高人均公共卫生支出。不同的回归规范类型和不同的控制变量组合下,估计结果都相当稳健。一些社会经济变量,如公共服务和教育,也可能通过不同的渠道对居民医疗支出产生显著影响。
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