A Study on Logistics Efficiency in the Yangtze River Economic Belt Based on a Three-Stage DEA Model

Jie Zhu; Xin Tian; Jie Yuan; Mingyue Duan

doi:10.62177/apemr.v2i6.762

Authors

Jie Zhu Chongqing University of Finance and Economics
Xin Tian Chongqing University of Finance and Economics
Jie Yuan Chongqing University of Finance and Economics
Mingyue Duan Chongqing University of Finance and Economics

DOI:

https://doi.org/10.62177/apemr.v2i6.762

Keywords:

Yangtze River Economic Belt, Logistics Efficiency, Three-stage DEA Model

Abstract

This study employs a three-stage Data Envelopment Analysis (DEA) model to measure and evaluate logistics efficiency in the Yangtze River Economic Belt based on data from 11 provinces and municipalities covering the period 2012–2023. Results indicate that logistics efficiency in the Yangtze River Economic Belt exhibits an overall upward trend; however, development imbalances persist among the upstream, midstream, and downstream regions. Shanghai and Jiangsu exhibit the highest comprehensive technical efficiency, while Chongqing and Sichuan demonstrate the lowest. ② SFA regression analysis reveals that managerial inefficiency is the primary factor causing input redundancy in logistics. The two environmental variables selected—R&D expenditure and regional GDP—exert differing levels of influence on input redundancy. ③ After controlling for environmental variables and random factors, the comprehensive technical efficiency of logistics industries across provinces and municipalities exhibited varying degrees of change. To further enhance logistics efficiency in the Yangtze River Economic Belt, it is essential to strengthen infrastructure development, introduce advanced technologies, and promote regional cooperation to foster coordinated development across the economic belt.

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