空气污染与居民心理健康——基于断点回归的估计

    Air Pollution and Residents' Mental Health-An Estimation based on Regression Discontinuity

    • 摘要: 使用2010年和2014年中国家庭动态跟踪调查(CFPS)数据,并基于中国北方冬季集中供暖政策的准自然实验,利用断点回归方法估计空气污染对中国居民心理健康状况的影响。研究发现:(1)空气污染对居民的心理健康有显著的负面作用,通过改变空气污染指标,考虑四种不同的污染物均得出相似的结论。(2)空气污染对心理健康的负面作用大小对不同人群而言具有异质性,其中对省会城市居民、受教育程度较低的居民以及女性居民的心理健康损害程度尤为明显。(3)通过对CES-D量表中抑郁症状的分析发现,空气污染更容易导致人们情绪低落,说明空气污染不仅能通过损害人们的身体健康从而作用于其心理状况,而且能直接影响个人情绪,使人产生焦虑、不安等负面情感,对人们的心理健康带来损害。

       

      Abstract: Using the 2010 and 2014 China Family Dynamics Tracking Survey(CFPS)data and based on quasi-natural experiments in the winter central heating policy in northern China, this paper estimated the impact of air pollution on the mental health of Chinese residents using Regression Discontinuity. It was found that:(1)Air pollution has a significant negative effect on the mental health of residents. The same conclusion was reached even though the air pollution index was changed and four different pollutants were studied.(2)The negative effect of air pollution on mental health is heterogeneous for different groups of people, especially for non-provincial urban residents, lower-educated residents and women.(3)Through the analysis of the depressive symptoms of the CES-D scale, it is found that air pollution is more likely to cause people to feel depressed, indicating that air pollution can not only affect people's mental state by damaging the health of the body but also damage an individual's mental health by directly affecting their emotions, causing anxiety, uneasiness and other negative emotions.

       

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