Air Pollution Exposure and Covid-19 in Dutch Municipalities

Air Pollution Exposure and Covid-19 in Dutch Municipalities
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DOI:
10.1007/s10640-020-00491-4
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发表时间:
2020-08-04
影响因子:
5.9
通讯作者:
Strobl, Eric
Strobl, Eric
中科院分区:
经济学3区
文献类型:
--
作者:
Cole, Matthew A.;Ozgen, Ceren;Strobl, Eric

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鉴于现有的初步证据表明新冠肺炎与空气质量差之间存在联系(主要基于相关性),我们估计了荷兰355个城市长期空气污染暴露与新冠肺炎之间的关系。通过使用详细的数据,我们发现了令人信服的证据,证明空气污染,特别是PM2.5浓度,与新冠肺炎病例、住院和死亡之间存在正相关关系。即使在控制了广泛的解释变量之后,这种关系仍然存在。我们的研究结果表明,在其他条件相同的情况下,PM2.5浓度增加1微克/立方米的城市将增加9.4例新冠肺炎病例,增加3.0例住院病例,增加2.3例死亡病例。2019冠状病毒病与空气污染之间的这种关系经受住了一系列敏感性和稳健性的考验,包括测量污染以减轻污染测量中的潜在内禀性,以及使用空间计量经济学技术建立空间溢出模型。
In light of the existing preliminary evidence of a link between Covid-19 and poor air quality, which is largely based upon correlations, we estimate the relationship between long term air pollution exposure and Covid-19 in 355 municipalities in the Netherlands. Using detailed data we find compelling evidence of a positive relationship between air pollution, and particularly PM2.5 concentrations, and Covid-19 cases, hospital admissions and deaths. This relationship persists even after controlling for a wide range of explanatory variables. Our results indicate that, other things being equal, a municipality with 1 mu g/m(3)more PM2.5 concentrations will have 9.4 more Covid-19 cases, 3.0 more hospital admissions, and 2.3 more deaths. This relationship between Covid-19 and air pollution withstands a number of sensitivity and robustness exercises including instrumenting pollution to mitigate potential endogeneity in the measurement of pollution and modelling spatial spillovers using spatial econometric techniques.