Literature DB >> 34246901

Does national air quality monitoring reduce local air pollution? The case of PM2.5 for China.

Guixian Liu1, Xiucheng Dong2, Zhaoyang Kong3, Kangyin Dong4.   

Abstract

Fine particulate matter (PM2.5) has become a major pressing challenge for China and remains a concern of its central government. This paper draws on a natural experiment generated by the National Ambient Air Quality Monitoring Network (NAAQMN) program in China to explore whether national air quality monitoring reduces local air pollution. In this study, we use a city-level dataset for 4200 Chinese cities covering 2001-2015 and a difference-in-differences (DID) assessment design to assess the impact of the NAAQMN program on local PM2.5 emissions in China. The results suggest that the NAAQMN program significantly reduces the local PM2.5 concentrations by 1.325 mg/m3, and each additional NAAQMN program will cause a decrease of 0.154 mg/m3 in the local PM2.5 concentrations. Furthermore, we determine the heterogeneous impacts of the NAAQMN program on local PM2.5 emission levels through the local government leaders' characteristics, PM2.5 emission levels, and economic development levels. In addition, a mediation effect is found between the NAAQMN program and local PM2.5 emissions through the efficiency of environmental governance. The Chinese government should continue to promote the implementation of the NAAQMN program by promoting the NAAQMN program to the county and rural areas as well as adding the sites of the NAAQMN program in the existing cities. Also, during the process of promoting the NAAQMN program, sufficient differentiation in policies should be developed for different cities.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  China; Heterogeneity analysis; Mediation impact mechanism; National air quality monitoring; PM(2.5)

Year:  2021        PMID: 34246901     DOI: 10.1016/j.jenvman.2021.113232

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  3 in total

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2.  How Air Quality Affect Health Industry Stock Returns: New Evidence From the Quantile-on-Quantile Regression.

Authors:  Lu Liu; Kai-Hua Wang; Yidong Xiao
Journal:  Front Public Health       Date:  2021-12-23

3.  Diverse spillover effects of COVID-19 control measures on air quality improvement: evidence from typical Chinese cities.

Authors:  Laijun Zhao; Yu Wang; Honghao Zhang; Ying Qian; Pingle Yang; Lixin Zhou
Journal:  Environ Dev Sustain       Date:  2022-04-25       Impact factor: 4.080

  3 in total

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