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

Changhao Li () and Shengyuan Wang
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Changhao Li: Liaoning Technical University
Shengyuan Wang: Liaoning Technical University

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 905-916 from Springer

Abstract: 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.

Keywords: green logistics; composite measure; spatio-temporal evolution; kernel density estimation (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-570-6_91

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DOI: 10.2991/978-94-6463-570-6_91

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