IDEAS home Printed from https://ideas.repec.org/a/igg/jaeis0/v10y2019i3p14-29.html
   My bibliography  Save this article

The Environmental Pollution Effects of Industrial Agglomeration: A Spatial Econometric Analysis Based on Chinese City Data

Author

Listed:
  • Suxia Liu

    (Nanjing University of Science and Technology, Nanjing, China & Zhengzhou University, Zhengzhou, China.)

  • Yingming Zhu

    (Nanjing University of Science and Technology, Nanjing, China)

  • Weiqiang Wang

    (Zhengzhou University, Zhengzhou, China)

  • Yu Pei

    (Nanjing University of Science and Technology, Nanjing, China)

  • Kuanqi Du

    (Nanjing University of Science and Technology, Nanjing, China)

Abstract

To analyze the environmental pollution effects elicited by industrial agglomeration, a spatial econometric model is constructed based on the Green Solow model. Using data derived from 285 Chinese cities between 2003and 2014, the global Moran'I and local bivariate LISA agglomeration map demonstrates that there is significant correlation between industrial agglomeration and industrial pollution discharge. Then, the spatial Durbin model (SDM) is built and the empirical results are as follows. First, inter-city industrial pollution discharge has a demonstration effect. Cites in the same region should take measures to cooperate to lower industrial pollution discharge. Second, the relationship between the local cities' industrial agglomeration and the local cities' industrial pollution discharge fits the inverted “U” curve. While the neighboring cities' industrial agglomeration will decrease the local cities' industrial pollution discharge. So, measures should be taken to increase the industrial agglomeration degree in the long run.

Suggested Citation

  • Suxia Liu & Yingming Zhu & Weiqiang Wang & Yu Pei & Kuanqi Du, 2019. "The Environmental Pollution Effects of Industrial Agglomeration: A Spatial Econometric Analysis Based on Chinese City Data," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 10(3), pages 14-29, July.
    • Handle: RePEc:igg:jaeis0:v:10:y:2019:i:3:p:14-29
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEIS.2019070102
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.

    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:igg:jaeis0:v:10:y:2019:i:3:p:14-29. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.