Extended Data Fig. 6: The heterogeneous impacts of SAPs on air quality.
From: Short- and medium-term impacts of strict anti-contagion policies on non-COVID-19 mortality in China
Each column represents a separate DiD regression with plots and bars representing the point estimates and 95% confidence intervals of interaction terms between the SAP status and the heterogeneous dimensions (Equation 4). The outcome variables are Air Quality Index (Panel A), PM2.5 (B), and PM10 (C). We use per capita employment, the number of hospital beds per 1,000, the share of secondary industry in GDP, initial Air Quality Index, and initial mortality rate as heterogeneous dimensions. The details of these data are described in Methods. These variables are standardized to have a mean 0 and standard deviation of 1 so that the coefficients of interaction terms are comparable across variables. The number of observations for each regression is 58,996 (A), 56,888 (B), and 56,852 (C), covering 602 DSPs (3 DSPs in Wuhan are not included). We use air quality data from January 1 to April 7, 2020. DSP fixed effect and date fixed effect are included in each regression, and the standard errors are clustered at the DSP level.
