Study on the Management of Rural Logistics Efficiency: A Case Study of Liaoning Province
- DOI
- 10.2991/978-94-6463-570-6_81How to use a DOI?
- Keywords
- rural logistics management; efficiency measurement; DEA model; Tobit model; influencing factors
- Abstract
Rural logistics efficiency management and development is essential in promoting the comprehensive construction of agricultural and rural modernization. Utilizing panel data on rural logistics in Liaoning Province from 2017 to 2021, an evaluation system for rural logistics efficiency is established based on input and output dimensions. The evolution of rural logistics efficiency is examined from static and dynamic perspectives using models such as DEA-BCC, and the factors influencing rural logistics efficiency are further analyzed. The research reveals that the overall level of rural logistics efficiency in Liaoning Province is favorable, yet distinct regional disparities and uneven development exist. Enhancing regional development is pivotal to strengthening rural logistics efficiency. Consequently, recommendations are proposed to enhance logistics technology and management innovation, promote regional cooperation, and leverage locational advantages to utilize the “diffusion effect fully”.
- 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
TY - CONF AU - Hao Zhang AU - Shuai Liu AU - Shuo Han PY - 2024 DA - 2024/11/22 TI - Study on the Management of Rural Logistics Efficiency: A Case Study of Liaoning Province BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 808 EP - 815 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_81 DO - 10.2991/978-94-6463-570-6_81 ID - Zhang2024 ER -