Resilience Analysis of Agricultural Supply Chain in Liaoning Province Based on Entropy Weight-TOPSIS Approach

DOI

10.2991/978-94-6463-570-6_111How to use a DOI?

Keywords

Liaoning Province; agricultural supply chain; supply chain resilience; entropy weight-TOPSIS method

Abstract

Based on the entropy weight-TOPSIS method, this paper carries out a comprehensive evaluation and analysis of the supply chain toughness of agricultural products in Liaoning Province. An evaluation index system containing production factors, environmental factors, logistics factors and technological factors is constructed, and the entropy weight method is used to determine the weights of each index, and the agricultural supply chain toughness of Liaoning Province is assessed by the TOPSIS method. It was found that the toughness of the agricultural supply chain in Liaoning Province showed an upward trend during 2018-2022. The weights of environmental factors and logistics factors in the evaluation index system are high, which have the greatest impact on the toughness of the agricultural supply chain in Liaoning Province. The influence of production factors is relatively small. In this regard, we should promote the economic development of Liaoning’s agricultural industry, support logistics enterprises, and promote the specialization and innovation of agricultural logistics to enhance the resilience and stability of the supply chain. This will promote the sustainable growth of Liaoning’s agricultural economy and guarantee national food security. At the same time, it also provides reference for assessing and improving the resilience of agricultural supply chains in other regions.

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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TY  - CONF
AU  - Shixiang Li
AU  - Jinhong Wang
PY  - 2024
DA  - 2024/11/22
TI  - Resilience Analysis of Agricultural Supply Chain in Liaoning Province Based on Entropy Weight-TOPSIS Approach
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1106
EP  - 1114
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_111
DO  - 10.2991/978-94-6463-570-6_111
ID  - Li2024
ER  -