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

Yunjiang Yu, Chun Dai, Yigang Wei, Huiming Ren and Jiawen Zhou

Energy Economics, 2022, vol. 113, issue C

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.

Keywords: PM2.5; Difference-in-differences model; Policy effect; Prefecture-level cities; China (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:113:y:2022:i:c:s0140988322003553

DOI: 10.1016/j.eneco.2022.106206

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