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When the wind blows: spatial spillover effects of urban air pollution in China

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  • Xiaoguang Chen
  • Jingjing Ye

Abstract

This paper estimates air pollution spillover effects in Chinese cities. Estimation of this spillover effect is complicated because neighboring cities share similar business/pollution cycles, and changes in wind direction can be frequent. To circumvent these empirical challenges, we propose a new approach exploiting spatial and temporal variations in PM2.5 concentrations for major cities in China’s Eastern Monsoon Region during the monsoon season. We find large pollution spillover effects. Estimates based on our preferred model specification suggest that a city’s average PM2.5 concentration increases by 0.33 (or 0.26) units during the winter (or summer) monsoon season, if PM2.5 concentrations in cities upwind of this city increase by one unit. Estimated spillover effects in plain and non-plain regions are 14%–16% larger and 45%–71% smaller, respectively, than the baseline estimates. The percentage contributions of PM2.5 pollution from upwind cities to local PM2.5 levels vary by region and can be as large as 50%.

Suggested Citation

  • Xiaoguang Chen & Jingjing Ye, 2019. "When the wind blows: spatial spillover effects of urban air pollution in China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(8), pages 1359-1376, July.
  • Handle: RePEc:taf:jenpmg:v:62:y:2019:i:8:p:1359-1376
    DOI: 10.1080/09640568.2018.1496071
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    Cited by:

    1. Jingjing Deng & Mingxian Li & Yi Li & Jun Lu, 2024. "Effect of Environmental Courts on Pollution Abatement: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    2. Ramesh Chandra Das & Tonmoy Chatterjee & Enrico Ivaldi, 2022. "Nexus between Housing Price and Magnitude of Pollution: Evidence from the Panel of Some High- and-Low Polluting Cities of the World," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    3. Chen, Xiaoguang & Chen, Luoye & Xie, Wei & Mueller, Nathaniel D. & Davis, Steven J., 2023. "Flight delays due to air pollution in China," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    4. Chen, Shuo & Li, Yiran & Shi, Guang & Zhu, Zhitao, 2021. "Gone with the wind? Emissions of neighboring coal-fired power plants and local public health in China," China Economic Review, Elsevier, vol. 69(C).
    5. Dongwon Ko & Seunghoon Park, 2024. "Investigating the Correlation between Air Pollution and Housing Prices in Seoul, South Korea: Application of Explainable Artificial Intelligence in Random Forest Machine Learning," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    6. Yang Yi & Le Wen & Shan He, 2022. "Partitioning for “Common but Differentiated” Precise Air Pollution Governance: A Combined Machine Learning and Spatial Econometric Approach," Energies, MDPI, vol. 15(9), pages 1-23, May.
    7. Lei Liu & Yue Xu & Zhaotian Yang & Ying Li, 2023. "The interrelationship between environmental NGO development and environmental condition in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8487-8516, August.
    8. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.
    9. Zhu, Junming & Wang, Jiali, 2021. "The effects of fuel content regulation at ports on regional pollution and shipping industry," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    10. Feng, Xingdong & Li, Wenyu & Zhu, Qianqian, 2024. "Estimation and bootstrapping under spatiotemporal models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 238(1).

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