Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

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Comprehensive Measurement and Spatial and Temporal Evolution Analysis of China’s Green Logistics

Authors
Changhao Li1, *, Shengyuan Wang2
1Liaoning Technical University, Huludao, Liaoning, 125000, China
2Liaoning Technical University, Fuxin, Liaoning, 123009, China
*Corresponding author. Email: 1262861873@qq.com
Corresponding Author
Changhao Li
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_91How to use a DOI?
Keywords
green logistics; composite measure; spatio-temporal evolution; kernel density estimation
Abstract

Enhancing the level of green logistics development is of great significance to the high-quality development of the logistics industry. This paper adopts the entropy weight-TOPSIS method to measure the level of green logistics development in 31 provinces and cities in China from 2015 to 2021, and analyzes the characteristics of the evolution of its spatio-temporal pattern by comprehensively applying kernel density estimation. The study shows that: ① From the point of view of temporal evolution, the overall green logistics development level of the country is on an upward trend, but there are large differences in the level of green logistics development among regions, presenting a certain hierarchical pattern. ② From the point of view of spatial evolution, the spatial distribution of the level of green logistics development is characterized by significant differences, showing a spatial pattern of “East>Central>West”. ③ In terms of dynamic evolution, the level of green logistics development was well distributed during the sample period, with no polarization and large intra-regional disparities.

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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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_91How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Changhao Li
AU  - Shengyuan Wang
PY  - 2024
DA  - 2024/11/22
TI  - Comprehensive Measurement and Spatial and Temporal Evolution Analysis of China’s Green Logistics
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 905
EP  - 916
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_91
DO  - 10.2991/978-94-6463-570-6_91
ID  - Li2024
ER  -