Multi-Group Symbiotic Evolution Mechanism in an Innovative Ecosystem: Evidence from China Cover Image

Multi-Group Symbiotic Evolution Mechanism in an Innovative Ecosystem: Evidence from China
Multi-Group Symbiotic Evolution Mechanism in an Innovative Ecosystem: Evidence from China

Author(s): Wang Zhang, Pingfeng LIU, Jingkun Zhang
Subject(s): Social Sciences, Sociology
Published by: Expert Projects Publishing
Keywords: innovation ecosystem; symbiotic evolution; dynamic mechanism; symbiotic model; social innovation; social interaction;

Summary/Abstract: The innovation ecosystem is a nonlinear dissipative self-organizing symbiosis system with a progressive evolution mechanism of analog ecosystems. The three major habitat research groups, development groups and application groups are interwoven into a multi-directional and multi-directional communication mechanism that competes and evolves. This paper takes the three populations as the entry point, closely follows the ecological characteristics, introduces the Logistic growth model, constructs a multi-group symbiotic evolution dynamics model, and analyzes the dynamic mechanism and its equilibrium state. Through the combination of numerical simulation and empirical analysis, the symbiotic model is simulated and the evolutionary trend of symbiosis in China in 2050 is predicted. The study shows that symbiotic evolution is the effect of symbiotic unit formation in a certain symbiotic environment according to a certain symbiotic model. Symbiosis is the evolution mechanism of population; the evolutionary dynamic mechanism is summarized as: economic drive, ecological balance, competition synergy, complex adaptation and policy regulation; symbiosis The evolutionary equilibrium state and equilibrium conditions depend on the symbiosis between the populations; the symbiotic evolution in China is at a mature stage, and the evolutionary model is mutually beneficial symbiosis, which is expected to enter saturation in 2030. In order to provide a reference for China's science and technology innovation-driven development strategy, it will lay a theoretical foundation for further research in the academic community.

  • Issue Year: 2019
  • Issue No: 66
  • Page Range: 249-277
  • Page Count: 28
  • Language: English
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