Rural Logistics Management Evaluation and Influencing Factors Analysis -- Taking the Yangtze River Economic Belt as an Example

DOI

10.2991/978-94-6463-570-6_88How to use a DOI?

Keywords

Rural logistics; Logistics management; Influencing factors; Entropy weight topsis; Grey relational model

Abstract

This paper uses the entropy weight TOPSIS to measure the rural logistics management in the Yangtze River Economic Belt from 2015 to 2021, and constructs the grey correlation model to explore the influencing factors of rural logistics management. The results show that: the level of rural logistics management in the Yangtze River Economic Belt has obvious spatial imbalance characteristics, showing the distribution state of Shanghai and Zhejiang as the core and decreasing outwards. In addition, the analysis of influencing factors shows that logistics infrastructure construction, informatization level and urbanization level are the core factors affecting rural logistics management.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fang Zhang
AU  - Jiani Li
PY  - 2024
DA  - 2024/11/22
TI  - Rural Logistics Management Evaluation and Influencing Factors Analysis -- Taking the Yangtze River Economic Belt as an Example
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 871
EP  - 881
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_88
DO  - 10.2991/978-94-6463-570-6_88
ID  - Zhang2024
ER  -