Efficiency Evaluation Analysis of Listed Logistics Enterprises Based on Super-Efficiency SBM Model
- DOI
- 10.2991/978-94-6463-570-6_42How to use a DOI?
- Keywords
- listed logistics enterprises; enterprise efficiency; super-efficiency SBM model; GML index
- Abstract
As the pioneer of the logistics industry, the development of listed logistics companies is crucial to the whole industry. In order to solve the problem of measuring the efficiency of logistics companies with excess inputs and insufficient outputs, this study takes 43 listed logistics companies in China as the research object, and adopts the super-efficiency SBM model to measure their operational efficiency during 2013-2022, and jointly analyzes the changes in operational efficiency caused by the Global Malmquist-Luenberger Index. The dynamic analysis of the changes in the operational efficiency of enterprises is carried out in conjunction with the GML index Model. The conclusion shows that the input-output efficiency of most of the enterprises is still at a low level, based on which, development suggestions are provided for logistics enterprises in terms of technical efficiency and technological progress.
- 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 - Zheng Yang AU - Yi Lin PY - 2024 DA - 2024/11/22 TI - Efficiency Evaluation Analysis of Listed Logistics Enterprises Based on Super-Efficiency SBM Model BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 424 EP - 432 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_42 DO - 10.2991/978-94-6463-570-6_42 ID - Yang2024 ER -