Spatial Autocorrelation and Temporal Convergence of PM 2.5 Concentrations in Chinese Cities

Huan Wang, Zhenyu Chen and Pan Zhang ()
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Huan Wang: School of Government and Public Affairs, Communication University of China, Beijing 100024, China
Zhenyu Chen: School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Pan Zhang: School of International and Public Affairs, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China

IJERPH, 2022, vol. 19, issue 21, 1-11

Abstract: Scientific study of the temporal and spatial distribution characteristics of haze is important for the governance of haze pollution and the formulation of environmental policies. This study used panel data of the concentrations of particulate matter sized < 2.5 μm (PM 2.5 ) in 340 major cities from 1999 to 2016 to calculate the spatial distribution correlation by the spatial analysis method and test the temporal convergence of the urban PM 2.5 concentration distribution using an econometric model. It found that the spatial autocorrelation of PM 2.5 seemed positive, and this trend increased over time. The yearly concentrations of PM 2.5 were converged, and the temporal convergence fluctuated under the influence of specific historical events and economic backgrounds. The spatial agglomeration effect of PM 2.5 concentrations in adjacent areas weakened the temporal convergence of PM 2.5 concentrations. This paper introduced policy implications for haze prevention and control.

Keywords: PM 2.5; spatial correlation; temporal convergence; urban governance (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 (1)

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