Impact of the emergency response to COVID-19 on air quality and its policy implications: Evidence from 290 cities in China.

Qingyong Zhang, Xianqiang Mao, Zhengzao Wang, Yutong Tan, Ziyin Zhang, Yanjie Wu, Yubing Gao

Abstract read

In one paragraph

Article in Environmental science & policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.Scientific reports · 2026
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qingyong ZhangSchool of Environment, Beijing Normal University, Beijing 100875, China.

Xianqiang MaoSchool of Environment, Beijing Normal University, Beijing 100875, China.

Zhengzao WangSchool of Economics and Management, Beijing University of Technology, Beijing 100124, China.

Yutong TanSchool of Environment, Beijing Normal University, Beijing 100875, China.

Ziyin ZhangInstitute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China.

Yanjie WuSchool of Environment, Beijing Normal University, Beijing 100875, China.

Yubing GaoSchool of Environment, Beijing Normal University, Beijing 100875, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergency response to the COVID-19 pandemic had an extreme exogenous impact on society and the economy. This paper aims to explore the impacts of the national emergency response and the subsequent emergency response termination on air quality and its policy implications through regression discontinuity design (RDD) estimation by employing panel data on daily air quality from January 1, 2019, to July 31, 2020, for 290 cities in China. The empirical results showed that the emergency response resulted in a significant decrease in most of the major pollutant concentrations within a short time frame, and the average air quality index (AQI) decreased by approximately 11.0%. The concentrations of PM

Indexed as

Air qualityCOVID-19Emergency responseRegression discontinuity design

Identifiers

PMID37070073

DOI10.1016/j.envsci.2023.04.009

PMCPMC10093300

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.