Evaluating the impact of partial driving restrictions on local air quality in Chongqing using regression discontinuity design

Xin Li, Shuhan Jiang, Tianqi Wang, Jia Hu and Yun Yuan
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Tianqi Wang: 12421Dalian Maritime University, China
Jia Hu: 12476Tongji University, China
Yun Yuan: 12421Dalian Maritime University, China

Environment and Planning B, 2022, vol. 49, issue 2, 464-484

Abstract: Driving restriction is used to mitigate traffic congestion and improve air quality. A partial bridge restriction policy is created in Chongqing, China since the bridges are natural network bottlenecks due to the local river system. Is such a strategy really capable of reducing air pollution and further improving local air quality? Employing an integration of principal component analysis and a regression-discontinuity design approach, this study examines the short-run effect of the partial driving restrictions on the local air quality index in Chongqing, China. The examination is first conducted to the city level, and then its eight administrative districts are tested separately. The findings reveal that the air quality index of the whole city area has experienced deterioration after the introduction of restrictions in Chongqing. Among eight districts, Yuzhong is the only one experiencing an improvement of air quality index.

Keywords: Driving restrictions; regression-discontinuity design; Chongqing; air quality (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:49:y:2022:i:2:p:464-484

DOI: 10.1177/23998083211010801

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