IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-97-1949-5_77.html
   My bibliography  Save this book chapter

Spatial Effects of Transportation Carbon Emission Intensity Based on SDM Model: A Case Study in East China

Author

Listed:
  • Yuhang Jiang

    (Chongqing Jiaotong University)

  • Liudan Jiao

    (Chongqing Jiaotong University)

  • Xiaosen Huo

    (Chongqing Jiaotong University)

  • Liu Wu

    (Chongqing Jiaotong University)

  • Ying Liu

    (Chongqing Jiaotong University)

Abstract

By collecting the research data from seven provinces in East China from 2003 to 2019, a spatial Durbin model (SDM) is established to study the spatial effects of carbon emission intensity in East China. Then the analysis of transport carbon intensity, grey correlation degree and spatial autocorrelation test are further examined. The results show that the transportation carbon emission intensity has a significant spatial effect among provinces in East China. The proportion of tertiary industry and population density has a negative spatial direct effect on transportation carbon emission intensity. Passenger turnover, urban public vehicles and highway mileage have a positive spatial direct effect on transportation carbon emission intensity. The urbanization rate has an insignificant spatial direct effect on transportation carbon emission intensity. Passenger turnover and highway mileage have a positive spatial spillover effect on carbon emission intensity. In contrast, the proportion of the tertiary industry, population density, urbanization rate and urban public vehicles have no significant spatial spillover effect on carbon emission intensity.

Suggested Citation

  • Yuhang Jiang & Liudan Jiao & Xiaosen Huo & Liu Wu & Ying Liu, 2024. "Spatial Effects of Transportation Carbon Emission Intensity Based on SDM Model: A Case Study in East China," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-981-97-1949-5_77
    DOI: 10.1007/978-981-97-1949-5_77
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-97-1949-5_77. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.