ORIGINAL RESEARCH
A New Measurement of Reasonable Utilization
of Logistics Resources for Sustainable
Development: A Matching Method Based on
QSST Equilibrium
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1
School of Management, Shenyang University of Technology, Shenyang City, Liaoning Province, China
2
Higher Vocational Technology (International) College, Shanghai Polytechnic University, Pudong District,
Shanghai City, China
3
Shenyang Zhongsheng Research Institute of Science and Technology Development, Shenyang City,
Liaoning Province, China
Submission date: 2023-09-14
Final revision date: 2023-10-20
Acceptance date: 2023-11-02
Online publication date: 2024-01-11
Publication date: 2024-02-28
Corresponding author
Xin Wen
School of Management, Shenyang University of Technology, Shenyang City, Liaoning Province, China
Pol. J. Environ. Stud. 2024;33(3):2193-2207
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ABSTRACT
From the perspective of supply and demand, in view of the unreasonable structure of logistics
system and the inefficient use of logistics resources, a matching measurement method system of regional
logistics system structure and logistics resources based on quantity, structure, space and time (QSST)
equilibrium is proposed, mainly including the matching mechanism and process model, matching
measurement model and matching discrimination analysis. It mainly includes the matching mechanism
and process model, matching measurement model, and matching degree discriminant analysis.
Combined with the coupled coordination degree model, an example analysis of the matching degree
of logistics system structure and logistics resources in China is conducted using relevant panel data
from 2011 to 2020, and the study confirms that structural mismatch is currently an important element
affecting the sustainable development of China’s logistics industry. This theory and method can better
evaluate the matching state of logistics structure and resources, find the individual advantages of the
matching relationship between the two in different stages, make a correct analysis and evaluation of the
evolution trend of the matching relationship between the two, and then provide a basis for managers to
plan the green, healthy and sustainable logistics structure.