Modeling and simulation for the coordinated development of regional education–economy–human capital complex system based on complex system theory

The sustainability of social development can be signified by the level of coordinated development of regional education–economy–human capital complex system (REEHCCS). However, the existing studies on the coordinated development of systems fail to consider the influence of human capital on specific systems, or identify the root causes of the complex state of the coordinated development. To solve the problem, this paper explores the modeling and simulation for the coordinated development of REEHCCS. Specifically, the REEHCCS structure was modeled, and reasonable evaluation indices were selected for coordination. Then, an REEHCCS coordination model was constructed, and the classification principles were detailed for the coordinated development of complex systems. On this basis, education and human capital were introduced to the dynamic Haavelmo model to identify the state and analyze the evolution of the REEHCCS. Finally, the proposed model was proved effective through simulation and case analysis. This study explores the complex interactions between regional education, economy, and human capital, and assesses their coordinated development through the construction of a coordination model and simulation experiments. The research findings indicate that the constructed model can effectively identify and analyze the coordinated development state and evolution trends of the regional education–economy–human capital system.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-04-01
DOI
https://doi.org/10.1177/14727978251322744
Primary Topic
Economic Growth and Productivity
Type
article
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article

Modeling and simulation for the coordinated development of regional education–economy–human capital complex system based on complex system theory

Lala Hu, Yanhong Tang
Journal of Computational Methods in Sciences and Engineering
Economic Growth and Productivity
article

Modeling and simulation for the coordinated development of regional education–economy–human capital complex system based on complex system theory

Lala Hu, Yanhong Tang
article en

Abstract

The sustainability of social development can be signified by the level of coordinated development of regional education–economy–human capital complex system (REEHCCS). However, the existing studies on the coordinated development of systems fail to consider the influence of human capital on specific systems, or identify the root causes of the complex state of the coordinated development. To solve the problem, this paper explores the modeling and simulation for the coordinated development of REEHCCS. Specifically, the REEHCCS structure was modeled, and reasonable evaluation indices were selected for coordination. Then, an REEHCCS coordination model was constructed, and the classification principles were detailed for the coordinated development of complex systems. On this basis, education and human capital were introduced to the dynamic Haavelmo model to identify the state and analyze the evolution of the REEHCCS. Finally, the proposed model was proved effective through simulation and case analysis. This study explores the complex interactions between regional education, economy, and human capital, and assesses their coordinated development through the construction of a coordination model and simulation experiments. The research findings indicate that the constructed model can effectively identify and analyze the coordinated development state and evolution trends of the regional education–economy–human capital system.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
Hunan Vocational Institute of Technology (CN)
Openalex Percentile: Top 90%
Economic Growth and Productivity
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Modeling and simulation for the coordinated development of regional education–economy–human capital complex system based on complex system theory — Lala Hu, Yanhong Tang · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS