ORIGINAL RESEARCH
Revealing the Impact of Socio-Economic Metrics
on the Air Quality on Northeast China Using
Multivariate Statistical Analysis
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1
East Asian Disciplines, Pai Chai University, Daejeon 35345, South Korea
2
Shandong Vocational Animal Science and Veterinary College, Weifang 261000, China
3
Adam Smith Business School, University of Glasgow, Glasgow G12 8QQ, Scotland
4
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
5
Shandong College of Information Technology, Weifang 261000, China
Submission date: 2021-07-24
Final revision date: 2021-12-18
Acceptance date: 2022-01-07
Online publication date: 2022-04-07
Publication date: 2022-06-20
Corresponding author
Mei Yang
East Asian Disciplines, Pai Chai University, Korea (South)
Pol. J. Environ. Stud. 2022;31(4):3373-3385
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ABSTRACT
Urban air pollution is an important issue facing China in the midst of rapid urbanization
and economic development. To investigate the regional air quality characteristics and its drivers
in Northeast China, this paper compares the spatial and temporal characteristics of air quality between
cities and analyzes the influence of socioeconomic variables by using statistical analysis methods
and geographic model. The results show that the air quality index (AQI) showed a downward trend
in time and decreased from southwest to northeast in space. The duration of heavy pollution
condition was not only controlled by the distribution of pollutant concentrations, but also influenced
by the topography. Based on the mean concentrations of the 6 pollutants, 37 cities were divided
into 4 categories by cluster analysis, reflecting the levels and characteristics of pollution. The level
of industrialization was the most important cause for air quality, followed by the size of the city and the
degree of economic development. The AQI predicted by geographic weighted regression model (GWR)
showed a lower goodness of fit in developed cities, indicating that the factors controlling air quality
are more complex in these regions. The influence of different socioeconomic metrics on AQI
showed large spatial differences. AQI was more sensitive to variations in socioeconomic metrics in
less developed small and medium-sized cities. This study provides a theoretical basis for revealing
the causes of urban air pollution and formulating pollution control measures in Northeast China.