Analysis of Spatial Dynamic Correlation and Influencing Factors of Atmospheric Pollution in Urban Agglomeration in China

Liangli Wei and Xia Li ()
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Liangli Wei: School of Economics and Management, Hefei Normal University, Hefei 230601, China
Xia Li: School of Accounting, Anhui University of Finance and Economics, Bengbu 233030, China

Sustainability, 2022, vol. 14, issue 18, 1-12

Abstract: The fluidity of air pollution makes a cross-regional joint effort to control pollution inevitable. Exploring the dynamic correlation and affecting factors of air pollution in urban agglomerations is conducive to improving the effectiveness of pollution control and promoting the high-quality development of the regional economy. Based on daily data on PM 2.5 concentration, the article identifies the dynamic association relationship of atmospheric pollution in urban agglomerations of Beijing–Tianjin–Hebei (BTH) air pollution transmission channel under the framework of the vector autoregressive model, building the spatial correlation network of atmospheric pollution in urban agglomerations of BTH atmospheric pollution transmission channel, investigating the structure characteristics and influencing factors. The results show that the atmospheric pollution in BTH cities has a general dynamic correlation, which shows a stable multithreaded complex network structure; the overflow direction of air pollution is highly consistent with the weight matrix of northwest wind direction; economic development level, population density, openness degree, geographical location, and the relationship of wind direction are the important factors affecting the spatial association network of atmospheric pollution. We should actively explore the construction mode of urban agglomeration under the constraint of atmospheric pollution and improve the cross-regional collaborative governance mechanism.

Keywords: urban agglomeration of atmospheric pollution transmission channel; dynamic association; QAP (quadratic assignment procedure); BTH (Beijing–Tianjin–Hebei); spatial wind weight matrix (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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