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Exploring the magnitude threshold of urban PM2.5 concentration: evidence from prefecture-level cities in China

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  • Yongpei Wang

    (Nanjing Audit University
    Shanghai University of Finance and Economics)

  • Zhongyu Guan

    (Nanjing Audit University)

  • Qian Zhang

    (University of Shanghai for Science and Technology)

Abstract

As major carriers of modern economy and population, cities and towns are vortex centers of pollution migration, and the environmental effects brought about by China’s unprecedented urbanization can be imagined, although the specific scale is still a mystery. This paper focuses on the nonlinear response mechanism of urban PM2.5 concentration to the urbanization population scale, considering that China’s urbanization development path is dominated by large- and medium-sized cities. The panel data of PM2.5 concentration of Chinese cities observed by satellite during 1998–2016 are used to capture the nonlinear characteristics of panel threshold model (PTM). The estimation results of the double-threshold PTM including the quadratic term of urbanization population show that the U-shaped relationship between urbanization population and PM2.5 concentration is nonlinear adjusted by urban GDP per capita with the two thresholds of 6777 Yuan and 10,296 Yuan at 2010 constant price. When the urban GDP per capita exceeds 10,296 Yuan, the urbanized population at the turning point of the U-shaped curve is 12.967 million people, which only appears in a few super-large cities such as Beijing, Tianjin, Shanghai and Chongqing. The size matching of urban economy and population is an important follow-up of environmental policies.

Suggested Citation

  • Yongpei Wang & Zhongyu Guan & Qian Zhang, 2024. "Exploring the magnitude threshold of urban PM2.5 concentration: evidence from prefecture-level cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 14095-14112, June.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03180-6
    DOI: 10.1007/s10668-023-03180-6
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    References listed on IDEAS

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    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Characterizing the Influences of Economic Development, Energy Consumption, Urbanization, Industrialization, and Vehicles Amount on PM 2.5 Concentrations of China," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    3. Mishalani, Rabi G. & Goel, Prem K. & Landgraf, Andrew J. & Westra, Ashley M. & Zhou, Dunke, 2014. "Passenger travel CO2 emissions in US urbanized areas: Multi-sourced data, impacts of influencing factors, and policy implications," Transport Policy, Elsevier, vol. 36(C), pages 231-241.
    4. Du, W.C. & Xia, X.H., 2018. "How does urbanization affect GHG emissions? A cross-country panel threshold data analysis," Applied Energy, Elsevier, vol. 229(C), pages 872-883.
    5. Rahman, Mohammad Mafizur & Alam, Khosrul, 2021. "Clean energy, population density, urbanization and environmental pollution nexus: Evidence from Bangladesh," Renewable Energy, Elsevier, vol. 172(C), pages 1063-1072.
    6. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
    7. Muhammad Shahbaz & Rashid Sbia & Helmi Hamdi & Ilhan Ozturk, 2014. "Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates," Post-Print halshs-01902764, HAL.
    8. Adams, Samuel & Klobodu, Edem Kwame Mensah, 2017. "Urbanization, democracy, bureaucratic quality, and environmental degradation," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 1035-1051.
    9. Strandholm, John C. & Espinola-Arredondo, Ana & Munoz-Garcia, Felix, 2021. "Pollution abatement with disruptive R&D investment," Resource and Energy Economics, Elsevier, vol. 66(C).
    10. Ji, Xi & Yao, Yixin & Long, Xianling, 2018. "What causes PM2.5 pollution? Cross-economy empirical analysis from socioeconomic perspective," Energy Policy, Elsevier, vol. 119(C), pages 458-472.
    11. Behera, Smruti Ranjan & Dash, Devi Prasad, 2017. "The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (South and Southeast Asian) region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 96-106.
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    Keywords

    Urbanized population; PM2.5; PTM; Threshold effect;
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