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Spatial correlation network and population mobility effect of regional haze pollution: empirical evidence from Pearl River Delta urban agglomeration in China

Author

Listed:
  • Feng Wang

    (China University of Mining and Technology)

  • Jing Ren

    (China University of Mining and Technology)

  • Juan Liu

    (China University of Mining and Technology)

  • Mingru Dong

    (China University of Mining and Technology)

  • Bin Yan

    (China University of Mining and Technology)

  • Hui Zhao

    (China University of Mining and Technology)

Abstract

Based on relevant data from 2014 to 2018, we constructed a spatial network of haze pollution in the Pearl River Delta (PRD) region by using a modified gravity model, explored the network structure characteristics and influencing factors of urban agglomeration with the SNA and the QAP method, and discussed the population mobility effect brought by haze pollution. The results showed that the PRD region has spatial correlation in terms of haze pollution. Guangzhou was in the central position of the spatial network, yet Shenzhen and Foshan played a connecting role in the network. Economic development, urbanization, and environmental protection had significant positive impacts on the haze pollution spatial network. The results of the double-threshold regression showed that the city’s status in the haze pollution network represented by centrality had a positive impact on population mobility.

Suggested Citation

  • Feng Wang & Jing Ren & Juan Liu & Mingru Dong & Bin Yan & Hui Zhao, 2021. "Spatial correlation network and population mobility effect of regional haze pollution: empirical evidence from Pearl River Delta urban agglomeration in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15881-15896, November.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01326-y
    DOI: 10.1007/s10668-021-01326-y
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    References listed on IDEAS

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    Cited by:

    1. Gong, Yuanyuan & Sun, Hui & Wang, Zhiwei & Ding, Chenxin, 2023. "Spatial correlation network pattern and evolution mechanism of natural gas consumption in China—Complex network-based ERGM model," Energy, Elsevier, vol. 285(C).
    2. Rongrong Zhang & Ming Li & Xiao Zhang & Yuanyuan Guo & Yonghe Li & Qi Gao & Song Liu, 2024. "Identification of the Spatial Structure of Urban Polycentres Based on the Dual Perspective of Population Distribution and Population Mobility," Land, MDPI, vol. 13(8), pages 1-20, July.
    3. Qing Qin & Lingxiao Li, 2024. "Mathematical Limitations of Gravity Model in Constructing Regional Association Networks: A Case Study," Mathematics, MDPI, vol. 12(20), pages 1-20, October.

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