Evolutionary Path and Sustainable Optimization of an Innovation Ecosystem for a High-Tech Enterprise Based on Empirical Evidence from Hubei Province

Aijun Liu, Lu Cai and Fan Chen ()
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Aijun Liu: School of Economics and Management, Hubei University of Education, Wuhan 430205, China
Lu Cai: School of Economics and Management, Hubei University of Education, Wuhan 430205, China
Fan Chen: School of Economics and Management, Hubei University of Education, Wuhan 430205, China

Sustainability, 2022, vol. 15, issue 1, 1-15

Abstract: This study focuses on the evolutionary path and sustainable optimization of an innovation ecosystem for a high-tech enterprise. To analyze the formation and structure of such an ecosystem, this study applies the Lotka–Volterra model to argue that cooperative symbiosis is an effective path for system evolution. It establishes a system dynamics model to analyze the system feedback mechanism and takes the development of an innovation ecosystem for a high-tech enterprise in Hubei Province as an example to discuss the dynamic factors that affect the system’s evolution and to design the sustainable optimization path of the system. The empirical results show that the system’s innovation input can only promote the positive effects of system evolution to a certain extent, and that regulatory elements such as policies and infrastructure can impact governance effectiveness and promote system optimization and sustainable development.

Keywords: high-tech enterprise; innovation ecosystem; evolutionary path; simulation; sustainable optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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