Quality Evaluation of Rural Logistics Development Based on Partial Order Set-TOPSIS Under Rural Revitalization

Jiawei Zhang () and Lizhu Yue
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Jiawei Zhang: Liaoning Technical University, School of Business Administration
Lizhu Yue: Liaoning Technical University, School of Business Administration

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 736-752 from Springer

Abstract: Abstract Rural logistics is a weak link in China’s logistics development system, with inadequate supporting infrastructure, a low utilization rate of information technology, and insufficient cross-industry integration, which hinders the sustainable development speed and service quality improvement of rural logistics. Therefore, this article establishes a rural logistics development evaluation system based on data from 31 provinces, with rural economic level, logistics infrastructure, logistics transportation capacity, and rural logistics informatization as evaluation criteria. The combination weighting partial order set method is used to obtain weights and establish Hasse layers to display the performance of each province, and further use TOPSIS analysis to analyze the overall performance of rural logistics development in four regions of China. The data shows that there is a significant imbalance in rural logistics development among different regions in China, and the inadequate construction of rural logistics infrastructure and low level of e-commerce and informatization are important factors hindering the high-quality development of rural logistics.

Keywords: Rural logistics; Infrastructure; Hasse diagram; Informatization level (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_75

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DOI: 10.2991/978-94-6463-256-9_75

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