The Cause of China’s Haze Pollution: City Level Evidence Based on the Extended STIRPAT Model

Jingyuan Li, Jinhua Cheng, Yang Wen, Jingyu Cheng, Zhong Ma, Peiqi Hu and Shurui Jiang
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Jingyuan Li: School of Economics and Management, China University of Geosciences, Wuhan 430074, China
Jinhua Cheng: School of Economics and Management, China University of Geosciences, Wuhan 430074, China
Yang Wen: Chinese Academy of Macroeconomic Research, Beijing 100038, China
Jingyu Cheng: School of Physical Education, China University of Geosciences, Wuhan 430074, China
Zhong Ma: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Peiqi Hu: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Shurui Jiang: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China

IJERPH, 2022, vol. 19, issue 8, 1-18

Abstract: Based on the extended STIRPAT model, this paper examines social and economic factors regarding PM 2.5 concentration intensity in 255 Chinese cities from 2007 to 2016, and includes quantile regressions to analyze the different effects of these factors among cities of various sizes. The results indicate that: (1) during 2007–2016, urban PM 2.5 concentration exhibited declining trends in fluctuations concerning the development of the urban economy, accompanied by uncertainty under different city types; (2) population size has a significant effect on propelling PM 2.5 concentration; (3) the effect of structure reformation on PM 2.5 concentration is evident among cities with different populations and levels of economic development; and (4) foreign investment and scientific technology can significantly reduce PM 2.5 emission concentration in cities. Accordingly, local governments not only endeavor to further control population size, but should implement a recycling economy, and devise a viable urban industrial structure. The city governance policies for PM 2.5 concentration reduction require re-classification according to different population scales. Cities with large populations (i.e., over 10 million) should consider reducing their energy consumption. Medium population-sized cities (between 1 million and 10 million) should indeed implement effective population (density) control policies, while cities with small populations (less than 1 million) should focus on promoting sustainable urban development to stop environmental pollution from secondary industry sources.

Keywords: PM 2.5; influencing factors; STIRPAT model; quantile regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (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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