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International Journal of Business Management and Economics and Trade, 2023, 4(1); doi: 10.38007/IJBMET.2023.040107.

Research on Inclusive Green Growth Based on SD-based Industrial Intelligence


Xin Wang, Jian Guo

Corresponding Author:
Xin Wang

School of Economics and Management, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China

Kewen College, Jiangsu Normal University, Xuzhou, Jiangsu 221100, China


Since the reform and opening up, along with the policy dividend, China's economy has developed rapidly. However, in recent years, with the change of international environment and the adjustment of domestic economic structure, economic development has entered a stage of low-speed growth, mainly manifested in the decline of population, the decline of marginal return on capital and the severe situation of energy and environment, the pressure of energy conservation and emission reduction has been increasing, and the urban-rural income gap has aroused social concern. It shows that the factor-driven economic growth model can no longer meet the requirements of high-quality economic development, and the inclusive green growth model that takes into account green, inclusive and growth provides an opportunity to solve these problems. In this paper, the causal loop diagram and system dynamics flow diagram of dynamic evolution are constructed, and the system dynamics method is used to sort out the dynamic complexity of inclusive green growth and the multi-order nonlinear multi-factor system, and the systematic dynamic model is simulated by different scenario schemes.


Industrial Intelligence, Inclusive Green Growth, System Dynamics

Cite This Paper

Xin Wang, Jian Guo. Research on Inclusive Green Growth Based on SD-based Industrial Intelligence. International Journal of Business Management and Economics and Trade (2023), Vol. 4, Issue 1: 56-66. https://doi.org/10.38007/IJBMET.2023.040107.


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