Author: Guojun He; Yuhang Pan; Takanao Tanaka
Title: COVID-19, City Lockdown, and Air Pollution: Evidence from China Document date: 2020_4_1
ID: if7av1x8_5
Snippet: Our empirical analysis uses comprehensive data at a week-by-city level from January 1 st to March 1 st in 2020. We first collect air quality data from 1,600 monitoring stations covering all the prefectural cities in China and aggregate the station level data to the city level data. We then collect the local government's lockdown policies city by city from news media and government announcements (Appendix Table A1 ). Because the disease prevalence.....
Document: Our empirical analysis uses comprehensive data at a week-by-city level from January 1 st to March 1 st in 2020. We first collect air quality data from 1,600 monitoring stations covering all the prefectural cities in China and aggregate the station level data to the city level data. We then collect the local government's lockdown policies city by city from news media and government announcements (Appendix Table A1 ). Because the disease prevalence varied greatly across different regions, the terms and requirements of the lockdown also differed across provinces and cities. Thus, we define a city as locked down when all three of the following preventive measures were enforced: 1) prohibition of unnecessary commercial activities in people's daily lives, 2) prohibition of any types of gathering by residents, 3) restrictions on private (vehicle) and public transportation. Following our definition, 95 out of 324 cities were locked down, as described in Figure 1 (Summary Statistics is described in Appendix Table A2 ).
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