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Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM 2.5 Data

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  • Xiaohong Liu

Abstract

Based on the PM 2.5 concentration data of 253 prefecture-level cities, it empirically investigated the effect of urban density on PM 2.5 concentration in China using spatial econometric regression method. The results show that there is a spatial spillover effect of PM 2.5 concentration in China. The coefficient of urban density is significantly negative, and the increase in urban density will reduce haze pollution. In order to reduce haze pollution in Chinese cities, it is necessary to continue to implement regional joint prevention and control measures. The eastern region should focus on building small blocks and high-density networks to reduce haze pollution. The central region should focus on urban greening, increase green coverage, and reduce the heat island effect. While improving the level of greening in the western region, we should increase urban density, reduce urban sprawl, and build compact cities.

Suggested Citation

  • Xiaohong Liu, 2019. "Effects of Urban Density and City Size on Haze Pollution in China: Spatial Regression Analysis Based on 253 Prefecture-Level Cities PM 2.5 Data," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-8, December.
    • Handle: RePEc:hin:jnddns:6754704
    DOI: 10.1155/2019/6754704
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    Cited by:

    1. Sun, Jianing & Zhou, Tao & Wang, Di, 2022. "Relationships between urban form and air quality: A reconsideration based on evidence from China’s five urban agglomerations during the COVID-19 pandemic," Land Use Policy, Elsevier, vol. 118(C).

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