Efficiency Evaluation and Influencing Factors Analysis of Logistics Industry based on Multiobjective Intelligent Computing

In logistics industry of 12 provinces along China’s new western land-sea corridor from 2010 to 2019, this research employed three-stage SBM model that considers undesirable output to measure logistics industrial efficiency and the panel Tobit model to investigate variables impacting logistics effici...

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Bibliographic Details
Published in:Computational intelligence and neuroscience 2022-08, Vol.2022, p.1-10
Main Authors: Zhou, Tingyan, Li, Wenxing
Format: Article
Language:English
Subjects:
China
Decision making
Economic development
Efficiency
Electronic commerce
Industrial efficiency
Influence
Logistics
Logistics services
Noise (mathematics)
Research methodology
Scale efficiency
Urbanization
Variables
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Summary:In logistics industry of 12 provinces along China’s new western land-sea corridor from 2010 to 2019, this research employed three-stage SBM model that considers undesirable output to measure logistics industrial efficiency and the panel Tobit model to investigate variables impacting logistics efficiency. The study found that after controlling for environmental variables and statistical noise, the logistics industrial efficiency in China’s new western land-sea corridor has improved, and the logistics sector efficiency of each province has spatial variability. Generally speaking, the south part goes up and the north part goes down; industrial structure, logistics transportation intensity, and economic development have a favorable influence on logistics sector efficiency. The urbanization rate, government support level, level of infrastructure, and degree of openness all have a negative influence on efficiency. Finally, relevant policy considerations such as logistics transport intensity, pure technical efficiency, scale efficiency, and external environment are proposed.
ISSN:1687-5265
1687-5273
DOI:10.1155/2022/3098160