IDEAS home Printed from https://ideas.repec.org/a/hin/complx/8831325.html
   My bibliography  Save this article

Spatial Spillover Effects of Economic Growth Based on High-Speed Railways in Northeast China

Author

Listed:
  • Haoming Guan
  • Qiao Li
  • Wen-Ze Yue

Abstract

This paper examines the spatial spillover effects of public transportation infrastructure on regional economy in Northeast China, the “rust belt†region in China. The dataset consists of socioeconomic data from 47 cities in the area during the period of year 2005 through 2015. Accessibility is used as an explanatory variable to reflect the influence of infrastructure on economic development. In order to avoid the endogenous, queen contiguity matrix is used to define the spatial weight matrix. In the paper, the dynamic panel data model is also used to explore the effects of high-speed railways in the whole study area and attempted to confirm the spatial differences among Heilongjiang Province, Jilin Province, and Liaoning Province. The results show that the high-speed railways increase the cities’ connection in terms of accessibility, and a significant positive spillover effect exists after the construction of high-speed railways (HSR), indicating the extensive economic benefits of HSR construction, despite of the overall economic difficulty experienced by this region.

Suggested Citation

  • Haoming Guan & Qiao Li & Wen-Ze Yue, 2021. "Spatial Spillover Effects of Economic Growth Based on High-Speed Railways in Northeast China," Complexity, Hindawi, vol. 2021, pages 1-11, April.
  • Handle: RePEc:hin:complx:8831325
    DOI: 10.1155/2021/8831325
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/8831325.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/8831325.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/8831325?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
    ---><---

    Citations

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


    Cited by:

    1. Liu, Qingchen & Li, Hongchang & Shang, Wen-long & Wang, Kun, 2022. "Spatio-temporal distribution of Chinese cities’ air quality and the impact of high-speed rail," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    2. Gongding Wei & Xueyan Li & Mingyuan Yu & Guangquan Lu & Zhiyu Chen, 2022. "The Impact of Land Transportation Integration on Service Agglomeration in Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 14(19), pages 1-23, October.

    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:hin:complx:8831325. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.