A Study on the Gradient Classification of Logistics Development Level in 31 Provinces and Cities Based on Partial Order Set

Maojun Cao, Chen Yuan () and Lizhu Yue
Additional contact information
Maojun Cao: Liaoning Engineering and Technology University, School of Business Administration
Chen Yuan: Liaoning Engineering and Technology University, School of Business Administration
Lizhu Yue: Huangshan University, School of Economics and Management

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 644-656 from Springer

Abstract: Abstract Logistics in developed areas can pull the remote areas, with very obvious gradient characteristics. To intuitively reflect the gradient characteristics of logistics development level in 31 provinces and cities in China, the partial order set evaluation method is applied to obtain the partial order Hasse diagram that can reflect the evaluation results from the two aspects of logistics development foundation and the degree of logistics development. The Hasse chart shows that 31 provinces and cities are divided into ten levels, with Guangdong, Jiangsu, and Shandong at the top of the ladder, and Tibet and Qinghai at the end of the gradient. Studies have found that the level of logistics development was significantly correlated with the economic GDP of each province, with a correlation coefficient of 0.953.

Keywords: Logistics level; echelon; Partial ordered set; Hasse diagram (search for similar items in EconPapers)
Date: 2024
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:advbcp:978-94-6463-256-9_66

Ordering information: This item can be ordered from
http://www.springer.com/9789464632569

DOI: 10.2991/978-94-6463-256-9_66

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().