Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)

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Research on Logistics Efficiency of Agricultural Products in Liaoning Province Under the Background of Digital Intelligence—Based on Dea Malmquist Model

Authors
Xiaosong Zhai1, *
1Liaoning Institute of Science and Engineering, Management Institute, Jinzhou, Liaoning, 121010, China
*Corresponding author. Email: 25109216@qq.com
Corresponding Author
Xiaosong Zhai
Available Online 28 July 2025.
DOI
10.2991/978-94-6463-793-9_60How to use a DOI?
Keywords
logistics efficiency; agricultural products; digital intelligence; proposals; DEA
Abstract

The logistics sector is a fundamental, strategic, and leading industry that supports the development of the national economy. High-quality logistics development is a key component of high-quality economic development. This article uses digitization as the research background and uses panel data from 14 cities in Liaoning Province from 2012 to 2021 as the measurement sample. The Malmquist index model and DEA's BCC model are used to calculate the efficiency of agricultural product logistics, and the results are analyzed from both static and dynamic perspectives. The Malmquist index model has been found to have a total factor productivity index that is lower than the provincial average, while the average technical efficiency change index in Liaoning Province can achieve effectiveness. The following development recommendations are made in light of the calculation results: increase the scale of operational and resource investments; build agricultural product logistics network facilities and equipment; strengthen logistics personnel; improve the degree of digitalization of agricultural product logistics; acquire advanced knowledge of digitalization technology; and speed up the development of agricultural product logistics.

Copyright
© 2025 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 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
Series
Atlantis Highlights in Engineering
Publication Date
28 July 2025
ISBN
978-94-6463-793-9
ISSN
2589-4943
DOI
10.2991/978-94-6463-793-9_60How to use a DOI?
Copyright
© 2025 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  - Xiaosong Zhai
PY  - 2025
DA  - 2025/07/28
TI  - Research on Logistics Efficiency of Agricultural Products in Liaoning Province Under the Background of Digital Intelligence—Based on Dea Malmquist Model
BT  - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
PB  - Atlantis Press
SP  - 711
EP  - 722
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-793-9_60
DO  - 10.2991/978-94-6463-793-9_60
ID  - Zhai2025
ER  -