Clean air actions in China, PM2.5 exposure, and household medical expenditures: A quasi-experimental study release_qntcu627k5bfbhukeg53py3kze

by Tao Xue, Tong Zhu, Wei Peng, Tianjia Guan, Shiqiu Zhang, Yixuan Zheng, Guannan Geng, Qiang Zhang


<jats:sec id="sec001"> <jats:title>Background</jats:title> Exposure to air pollution, a leading contributor to the global burden of disease, can cause economic losses. Driven by clean air policies, the air quality in China, one of the most polluted countries, has improved rapidly since 2013. This has enabled a unique, quasi-experiment to assess the economic impact of air pollution empirically. </jats:sec> <jats:sec id="sec002"> <jats:title>Methods and findings</jats:title> Using a series of nation-scale longitudinal surveys in 2011, 2013, and 2015, we first examined the questionnaire-based medical expenditure changes before and after the policy intervention for air pollution. Using a state-of-the-art estimator of the historical concentration of particulate matters with diameter less than 2.5 μm (particulate matter (PM)<jats:sub>2.5</jats:sub>), we further quantified the association between household medical expenditure and PM<jats:sub>2.5</jats:sub> using mixed-effect models of the repeated measurements from 26,511 households in 126 cities. Regression models suggest a robust linear association between reduced PM<jats:sub>2.5</jats:sub> and saved medical expenditures, since the association did not vary significantly across models with different covariate adjustments, subregions, or subpopulations. Each 10 μg/m<jats:sup>3</jats:sup> reduction in PM<jats:sub>2.5</jats:sub> was associated with a saving of 251.6 (95% CI: 30.8, 472.3; <jats:italic>p</jats:italic>-value = 0.026) Yuan in per capita annual medical expenditure. However, due to limitations in data quality (e.g., self-reported expenditures), and imperfect control for unmeasured confounders or impact from concurrent healthcare reform in China, the causality underlying our findings should be further confirmed or refuted. </jats:sec> <jats:sec id="sec003"> <jats:title>Conclusion</jats:title> In this study, we observed that compared with the PM<jats:sub>2.5</jats:sub> reduction in 2013, the PM<jats:sub>2.5</jats:sub> reduction in 2017 was associated with a saving of 552 (95% CI: 68, 1036) Yuan / (person × year), or approximately 736 billion Yuan (equivalent to 111 billion US dollar) per year nationally, which is equivalent to approximately 1% of the national gross domestic product of China. </jats:sec>
In application/xml+jats format

Published in PLoS Medicine by Public Library of Science (PLoS)
ISSN-L 1549-1277
Volume 18
Issue 1
Page(s) e1003480
Release Date 2021-01-06
Container Type journal
Publisher Public Library of Science (PLoS)
Primary Language en (lookup)

Known Files and URLs

application/pdf  2.0 MB
sha1:812fc3491a749257a6a1... (webarchive) (publisher)
Read Full Text
Type  article-journal
Stage   published
Date   2021-01-06
Container Metadata
Open Access Publication
In Keepers Registery
ISSN-L:  1549-1277
Fatcat Entry
Work Entity
grouping other versions (eg, pre-print) and variants of this release
Cite This Release
Fatcat Bits

State is "active". Revision:
As JSON object via API