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Air pollution prevention and control action plan substantially reduced PM2.5 concentration in China

  • Yunjiang Yu
  • , Chun Dai
  • , Yigang Wei*
  • , Huiming Ren
  • , Jiawen Zhou
  • *Corresponding author for this work
  • Shanghai Lixin University of Accounting and Finance
  • CAS - Institute of Geographical Sciences and Natural Resources Research

Research output: Contribution to journalArticlepeer-review

Abstract

As part of China's committed efforts to alleviate and control air pollution in key regions, the Air Pollution Prevention and Control Action Plan (APPCAP) was implemented in 2013 and a series of regulatory measures, including a mandatory and strengthened enterprise air pollutant emission standard was rolled out. However, the present literature has focused limited attention to the actual effects of APPCAP on PM2.5 pollution treatment. Using panel data from 271 prefecture-level cities covering 2008 and 2018, this paper used the difference-in-differences (DID) and propensity score matching difference-in-differences (PSM DID) to explore for the first time the policy effect on air quality. The superposition effect caused by the establishment of a carbon emission trading scheme is empirically considered by using the difference-in-difference-in- differences (DDD) strategy. Several important findings are derived: 1) The APPCAP exerts significant negative effects on fine particulate matter (PM2.5) concentration and SO2 emissions in the pilot areas. 2) Results of the DDD model show that China's APPCAP still exert significant negative effects on PM2.5 concentration and SO2 emissions in the pilot areas of the carbon emission trading scheme. 3) The heterogeneity analysis results indicate that the effects of China's APPCAP on air pollution in the key urban agglomerations are consistent and significantly negative under different conditions.

Original languageEnglish
Article number106206
JournalEnergy Economics
Volume113
DOIs
StatePublished - Sep 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • China
  • Difference-in-differences model
  • PM
  • Policy effect
  • Prefecture-level cities

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