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Analysis of the spatio-temporal network of air pollution in the Yangtze River Delta urban agglomeration, China

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  • Chuanming Yang
  • Qingqing Zhuo
  • Junyu Chen
  • Zhou Fang
  • Yisong Xu

Abstract

The complex correlation between regions caused by the externality of air pollution increases the difficulty of its governance. Therefore, analysis of the spatio-temporal network of air pollution (STN-AP) holds great significance for the cross-regional coordinated governance of air pollution. Although the spatio-temporal distribution of air pollution has been analyzed, the structural characteristics of the STN-AP still need to be clarified. The STN-AP in the Yangtze River Delta urban agglomeration (YRDUA) is constructed based on the improved gravity model and is visualized by UCINET with data from 2012 to 2019. Then, its overall-individual-clustering characteristics are analyzed through social network analysis (SNA) method. The results show that the STN-AP in the YRDUA was overall stable, and the correlation level gradually improved. The centrality of every individual city is different in the STN-AP, which reveals the different state of their interactive mechanism. The STN-AP could be subdivided into the receptive block, overflow block, bidirectional block and intermediary block. Shanghai, Suzhou, Hangzhou and Wuxi could be key cities with an all above degree centrality, betweenness centrality and closeness centrality and located in the overflow block of the STN-AP. This showed that these cities had a greater impact on the STN-AP and caused a more pronounced air pollution spillovers. The influencing factors of the spatial correlation of air pollution are further determined through the quadratic assignment procedure (QAP) method. Among all factors, geographical proximity has the strongest impact and deserves to be paid attention in order to prevent the cross-regional overflow of air pollution. Furthermore, several suggestions are proposed to promote coordinated governance of air pollution in the YRDUA.

Suggested Citation

  • Chuanming Yang & Qingqing Zhuo & Junyu Chen & Zhou Fang & Yisong Xu, 2022. "Analysis of the spatio-temporal network of air pollution in the Yangtze River Delta urban agglomeration, China," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-13, January.
    • Handle: RePEc:plo:pone00:0262444
    DOI: 10.1371/journal.pone.0262444
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    References listed on IDEAS

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    1. Jingjing Shao & Jingfeng Ge & Xiaomiao Feng & Chaoran Zhao, 2020. "Study on the relationship between PM2.5 concentration and intensive land use in Hebei Province based on a spatial regression model," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    2. Selin Guney & Barry K Goodwin & Andrés Riquelme, 2019. "Semi-Parametric Generalized Additive Vector Autoregressive Models of Spatial Basis Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 541-562.
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