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ORIGINAL RESEARCH
Coupling Coordination Relationship Among
Industrial Agglomeration, Ecological Environment
Quality, and Economic Development in China
1
School of Digital Economics and Trade, Kaifeng University, Kaifeng, Henan,475004, China
2
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430000, China
Submission date: 2024-07-23
Final revision date: 2024-08-31
Acceptance date: 2024-10-28
Online publication date: 2025-01-20
Corresponding author
KEYWORDS
industrial agglomerationecological environmenteconomic developmentcoupling coordinationTapio modelLMDI model
TOPICS
ABSTRACT
This study investigates the coupling and coordination relationship among industrial agglomeration,
ecological environment quality, and industrial economic development across 31 provinces in China
from 2003 to 2022. Utilizing the entropy weight method and the coupling coordination degree method,
the levels of industrial agglomeration and ecological environment quality were measured and evaluated
for each province. The Tapio model was employed to analyze the decoupling relationship between
industrial agglomeration, ecological environment quality, and industrial economic development.
Furthermore, the Logarithmic Mean Divisia Index (LMDI) model was used to analyze the impact
of the coupling degree and comprehensive coordination index on the coordination degree. The results
indicate significant differences in industrial agglomeration levels and ecological environment quality
among the 31 provinces over the study period. While most provinces achieved a certain degree of
coordinated development between industrial agglomeration and ecological environment quality, further
optimization and balancing are still needed across regions. This study provides empirical evidence for
policymakers, aiding in formulating more scientifically sound and reasonable regional development
policies to promote the coordinated development of the economy and the environment.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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