Competitiveness Measurement and Evolution Pattern Analysis of CR Express Assembly Centers

Huiying Du (), Shiyun Liu, Xingfen Wang () and Hongjun Wang ()
Additional contact information
Huiying Du: Beijing Information Science and Technology University
Shiyun Liu: Beijing Information Science and Technology University
Xingfen Wang: Beijing Information Science and Technology University
Hongjun Wang: Beijing Information Science and Technology University

A chapter in LISS 2024, 2025, pp 14-28 from Springer

Abstract: Abstract China Railway Express assembly center occupies an important position in China Railway Express operation network. In order to promote the development of China Railway Express, this study takes the assembly centers as the research object. Firstly, it constructs a competitiveness index system based on relevant policy documents, and uses the critic-entropy weight combination weighting method to measure and analyze logistics competitiveness. Secondly, it combines the Gini coefficient and offset-share method were used to clarify its competitive evolution characteristics from 2011 to 2023. Finally, targeted strategies to enhance competitiveness were proposed to provide reference for the construction and development of China Railway Express.

Keywords: China Railway Express; competitive evolution characteristics; combination weighting method; Gini coefficient; shift-share analysis method (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-96-9697-0_2

Ordering information: This item can be ordered from
http://www.springer.com/9789819696970

DOI: 10.1007/978-981-96-9697-0_2

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().