Research on Efficiency Evaluation of Logistics Industry in Liaoning Province Based on Three-stage DEA-Malmquist Model Under Low-carbon Constraints

Chun Wang () and Zhiyong Mao ()
Additional contact information
Chun Wang: Liaoning Technical University, College of Business Administration
Zhiyong Mao: Liaoning Technical University, College of Business Administration

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 855-862 from Springer

Abstract: 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.

Keywords: three-stage DEA model; Malmquist model; Low-carbon logistics efficiency (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-570-6_86

Ordering information: This item can be ordered from
http://www.springer.com/9789464635706

DOI: 10.2991/978-94-6463-570-6_86

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().