Coupling Coordination Analysis of Regional IEE System: A Data-Driven Multimodel Decision Approach

Coordinating regional innovation–economy–ecology (IEE) systems is an important prerequisite for overall continuous regional development. To fully understand the coordination relationship among the three, this study builds a data-driven multimodel decision approach to calculate, assess, diagnose, and...

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Bibliographic Details
Published in:Processes 2022-11, Vol.10 (11), p.2268
Main Authors: Yang, Yaliu, Hu, Fagang, Ding, Ling, Wu, Xue
Format: Article
Language:English
Subjects:
Analysis
Barriers
Case studies
China
Civilization
Climate change
Coordination
Correlation analysis
Coupling
Decision analysis
Decision making
Ecology
Economic development
Economic growth
Efficiency
Emissions
Entropy
Entropy (statistics)
Innovations
Measurement techniques
Methods
Regional development
Subsystems
Sustainable development
Weighting methods
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Summary:Coordinating regional innovation–economy–ecology (IEE) systems is an important prerequisite for overall continuous regional development. To fully understand the coordination relationship among the three, this study builds a data-driven multimodel decision approach to calculate, assess, diagnose, and improve the regional IEE system. First, the assessment indicator system of the regional IEE system is established. Secondly, the range method, entropy weight method, and weighted summation method are employed to calculate the synthetic developmental level. Thirdly, a multimodel decision approach including the coupling degree model, the coordination degree model, and the obstacle degree model is constructed to assess the spatiotemporal evolution characteristics of the regional IEE system coupling coordination and diagnose the main obstacles hindering its development. Finally, the approach is tested using Anhui Province as a case study. The results show that the coupling coordination degree of the Anhui IEE system presents a stable growth trend, but the coupling degree is always higher than the coordination degree. The main obstacle affecting its development has changed from the original innovation subsystem to the current ecology subsystem. Based on this, some countermeasures are put forward. This study, therefore, offers decision support methods to aid in evaluating and improving the regional IEE system.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr10112268