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Regional Differences, Distribution Dynamics, and Convergence of Air Quality in Urban Agglomerations in China

Author

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  • Yuting Xue

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Kai Liu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250358, China)

Abstract

The urban agglomeration (UA), with a high concentration of population and economy, represents an area with grievous air pollution. It is vital to examine the regional differences, distribution dynamics, and air quality convergence in UAs for sustainable development. In this study, we measured the air quality of ten UAs in China through the Air Quality Index (AQI). We analyzed regional differences, distribution dynamics, and convergence using Dagum’s decomposition of the Gini coefficient, kernel density estimation, and the convergence model. We found that: the AQI of China’s UAs shows a downward trend, and the index is higher in northern UAs than in southern UAs; the differences in air quality within UAs are not significant, but there is a gap between them; the overall difference in air quality tends to decrease, and regional differences in air quality are the primary contributor to the overall difference; the overall distribution and the distribution of each UA move rightward; the distribution pattern, ductility, and polarization characteristics are different, indicating that the air quality has improved and is differentiated between UAs; except for the Guanzhong Plain, the overall UA and each UA have obvious σ convergence characteristics, and each UA presents prominent absolute β convergence, conditional β convergence, and club convergence.

Suggested Citation

  • Yuting Xue & Kai Liu, 2022. "Regional Differences, Distribution Dynamics, and Convergence of Air Quality in Urban Agglomerations in China," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7330-:d:839436
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    References listed on IDEAS

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    1. Timothy M. Chukwu & Stephen Morse & Richard J. Murphy, 2022. "Spatial Analysis of Air Quality Assessment in Two Cities in Nigeria: A Comparison of Perceptions with Instrument-Based Methods," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    2. Dinda, Soumyananda & Coondoo, Dipankor & Pal, Manoranjan, 2000. "Air quality and economic growth: an empirical study," Ecological Economics, Elsevier, vol. 34(3), pages 409-423, September.
    3. Xiaolan Tan & Wentao Yu & Shiwei Wu, 2022. "The Impact of the Dynamics of Agglomeration Externalities on Air Pollution: Evidence from Urban Panel Data in China," Sustainability, MDPI, vol. 14(1), pages 1-22, January.
    4. Tu, Zhengge & Hu, Tianyang & Shen, Renjun, 2019. "Evaluating public participation impact on environmental protection and ecological efficiency in China: Evidence from PITI disclosure," China Economic Review, Elsevier, vol. 55(C), pages 111-123.
    5. Huanhuan Xiong & Lingyu Lan & Longwu Liang & Yaobin Liu & Xiaoyu Xu, 2020. "Spatiotemporal Differences and Dynamic Evolution of PM 2.5 Pollution in China," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    6. Lara Aleluia Reis & Laurent Drouet & Rita Van Dingenen & Johannes Emmerling, 2018. "Future Global Air Quality Indices under Different Socioeconomic and Climate Assumptions," Sustainability, MDPI, vol. 10(10), pages 1-27, October.
    7. Yujing Guo & Qian Zhang & Kin Keung Lai & Yingqin Zhang & Shubin Wang & Wanli Zhang, 2020. "The Impact of Urban Transportation Infrastructure on Air Quality," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    8. Taihao Wang & Huadong Du & Zezheng Zhao & Zeming Zhou & Ana Russo & Hailing Xi & Jiping Zhang & Chengjun Zhou, 2022. "Prediction of the Impact of Meteorological Conditions on Air Quality during the 2022 Beijing Winter Olympics," Sustainability, MDPI, vol. 14(8), pages 1-13, April.
    9. Jie Zhou & Hanlin Lan & Cheng Zhao & Jianping Zhou, 2021. "Haze Pollution Levels, Spatial Spillover Influence, and Impacts of the Digital Economy: Empirical Evidence from China," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    10. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    11. Yue Tui & Jiaxin Qiu & Ju Wang & Chunsheng Fang, 2021. "Analysis of Spatio-Temporal Variation Characteristics of Main Air Pollutants in Shijiazhuang City," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
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    Cited by:

    1. Haojian Deng & Kai Liu, 2023. "Spatiotemporal Evolution of Urban Resilience and Spatial Spillover Effects in Guangdong Province, China," Land, MDPI, vol. 12(9), pages 1-19, September.

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