Research on Efficiency Evaluation of Logistics Industry in Liaoning Province Based on Three-stage DEA-Malmquist Model Under Low-carbon Constraints
- DOI
- 10.2991/978-94-6463-570-6_86How to use a DOI?
- Keywords
- three-stage DEA model; Malmquist model; Low-carbon logistics efficiency
- Abstract
Green and low-carbon development has become the main theme of China’s current development, starting from the perspective of low carbon, the logistics efficiency index system of Liaoning Province is constructed, and the three-stage DEA model and Malmquist model are used to analyze the low-carbon logistics efficiency of 31 provinces and cities in China from 2014 to 2021 from the dynamic and static dimensions. The results show that the efficiency of the logistics industry in Liaoning Province is slightly higher than the national average at this stage, and the pure technical efficiency is closely related to the overall efficiency, and the low-carbon logistics efficiency still needs to be continuously improved.
- 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 - Chun Wang AU - Zhiyong Mao PY - 2024 DA - 2024/11/22 TI - Research on Efficiency Evaluation of Logistics Industry in Liaoning Province Based on Three-stage DEA-Malmquist Model Under Low-carbon Constraints BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 855 EP - 862 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_86 DO - 10.2991/978-94-6463-570-6_86 ID - Wang2024 ER -