IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v55y2019i15p3575-3590.html
   My bibliography  Save this article

Urbanization, Air Quality, and the Panel Threshold Effect in China Based on Kernel Density Estimation

Author

Listed:
  • Shijin Wang
  • Guihong Hua
  • Cunfang Li

Abstract

The dynamic evolution of urbanization was analyzed in panel data for 30 provinces in China from 2000 to 2014, by using kernel density estimation across China’s regions. Using STIRPAT modeling, the study also analyzed the effects of economic growth and urbanization on PM2.5 with respect to the eastern, central, and western regions, and the entire nation. Different relationships were found among regions. The economic growth, population, energy consumption structure, industrialization, and FDI were the key factors influencing air quality. Verification of the EKC curve indicated that the central region was linear, and the other regions had an inverted N-shape. The dynamic evolution of urbanization and the air quality were also analyzed with a panel threshold regression model. Urbanization in China has a triple threshold for air quality as an economic growth threshold. There were significant double thresholds in the eastern, central, and western regions. In view of the above analysis, policies and recommendations are proposed regarding how to change the mode of economic development and narrow the urbanization gap among regions to reduce air pollutant emissions and facilitate sustainable development.

Suggested Citation

  • Shijin Wang & Guihong Hua & Cunfang Li, 2019. "Urbanization, Air Quality, and the Panel Threshold Effect in China Based on Kernel Density Estimation," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(15), pages 3575-3590, December.
    • Handle: RePEc:mes:emfitr:v:55:y:2019:i:15:p:3575-3590
    DOI: 10.1080/1540496X.2019.1665016
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2019.1665016
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1540496X.2019.1665016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ming Hao & Gang Li & Changyou Chen & Liutao Liang, 2022. "A Coupling Relationship between New-Type Urbanization and Tourism Resource Conversion Efficiency: A Case Study of the Yellow River Basin in China," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    2. Wendong Zhu & Dahai Li & Limin Han, 2022. "Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    3. Haider Mahmood & Maham Furqan & Muhammad Shahid Hassan & Soumen Rej, 2023. "The Environmental Kuznets Curve (EKC) Hypothesis in China: A Review," Sustainability, MDPI, vol. 15(7), pages 1-32, April.
    4. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    5. Zhen Shi & Yingju Wu & Yung‐ho Chiu & Qinghua Pang & Lina Zhang, 2023. "Assessing city sustainable development—Residents' quality of life from the perspective of sustainable development goals and spatiotemporal evolution," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1456-1474, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mes:emfitr:v:55:y:2019:i:15:p:3575-3590. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.