IDEAS home Printed from https://ideas.repec.org/h/spr/atlecp/978-94-6463-270-5_2.html

Research on the Evaluation of Regional Logistics Capacity of Gansu Province Under the “The Belt and Road” Initiative Based on Gray Correlation Analysis

In: Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)

Author

Listed:
  • Li Wang

    (Lanzhou Jiaotong University, School of Traffic and Transportation
    Lanzhou Yineng Electric Power (Group) Co., Ltd)

  • Zhili Wang

    (Lanzhou Jiaotong University, School of Economics and Management
    Lanzhou Yineng Electric Power (Group) Co., Ltd)

  • Changxi Ma

    (Lanzhou Jiaotong University, School of Traffic and Transportation
    Lanzhou Yineng Electric Power (Group) Co., Ltd)

Abstract

Gansu Province is a key construction area on “The Silk Road Economic Belt” established by Chinese “The Belt and Road” initiative. In order to evaluate the level of regional logistics capability in Gansu Province, this paper proposes a regional logistics capacity evaluation method based on the gray correlation analysis model. Based on the comprehensive analysis of the factors affecting the regional logistics development capability, the evaluation index system of regional logistics capability is constructed. The combination weighting method model is constructed by combining the analytic hierarchy process (AHP) and entropy weight method, and the weight coefficient of each evaluation index is determined by using the model. Based on the statistical data of all cities (states) in Gansu Province in 2019, combined with the gray correlation analysis model, the regional logistics capacity of 14 cities (states) in Gansu Province was comprehensively evaluated and ranked, and the ranking results were consistent with the actual situation, which verified the effectiveness of the evaluation model, and the regional logistics capacity of Gansu Province was briefly analyzed, which provides theoretical and basic support for the follow-up and in-depth study of regional logistics capacity in Gansu Province.

Suggested Citation

  • Li Wang & Zhili Wang & Changxi Ma, 2023. "Research on the Evaluation of Regional Logistics Capacity of Gansu Province Under the “The Belt and Road” Initiative Based on Gray Correlation Analysis," Atlantis Highlights in Economics, Business and Management, in: Yusheng Jiao & Khaled Elbagory & Shyam Bihari Goyal & Hang Luo (ed.), Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023), pages 4-18, Springer.
  • Handle: RePEc:spr:atlecp:978-94-6463-270-5_2
    DOI: 10.2991/978-94-6463-270-5_2
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:atlecp:978-94-6463-270-5_2. 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: https://www.atlantis-press.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.