Abstract：
The main purposes of government environmental policy include improving the objective natural environment as well as reducing the health risk of the public. A majority of studies have tested the means of achieving the first goal. In this paper, we aimed to gather empirical evidence pertaining to the realization of the second goal by drawing on a quasi-natural experiment that was conducted based on the \"Action Plan on Air Pollution Prevention and Control\" issued in 2013 (AP2013). The research data came from the tracking data of 17,766 individuals from 112 prefecture-level cities of China in 2012 and 2014. Through ordinal logistic regression and DID analysis, a causal relationship between the AP2013 policy and public health risk perceptions was verified, indicating that this policy can significantly decrease public health risk perceptions. By constructing different subsamples, an inverted U-shaped relationship between the causal effect and the length of the policy implementation window was established, which demonstrated the short-term signal effect and long-term implementation effect of this policy. The conclusions can help with the communication and implementation of a government\'s policy.
摘要：
政府环境政策的主要目的包括改善客观自然环境以及降低公众的健康风险。大多数研究已经测试了实现第一个目标的方法。在本文中,我们的目的是通过利用基于2013年发布的“空气污染防治行动计划”（AP2013）进行的准自然实验来收集与实现第二个目标有关的经验证据。研究数据来自2012年和2014年中国112个地级市17766人的跟踪数据。通过有序逻辑回归和DID分析，验证了AP2013政策与公共卫生风险认知之间的因果关系，这表明该政策可以显著降低公众健康风险认知。通过构建不同的子样本，建立了因果效应与政策执行窗口长度之间的倒U型关系，这表明了该政策的短期信号效应和长期实施效应。这些结论有助于政府政策的沟通和执行。
