The symbiosis evolution mechanism and simulation research of developed science-based innovation ecosystem

Yuqiong Li, Ling Zhou and Han Tian

International Journal of Entrepreneurship and Innovation Management, 2023, vol. 27, issue 1/2, 77-97

Abstract: Based on the perspective of the developed science-based innovation ecosystem, this research constructs a biomedical innovation ecosystem structure model that integrates the Lotka-Volterra model to conduct empirical research on the symbiotic evolution of innovation populations in the system and discusses the cooperative evolution law among innovation populations in the system, with taking China's biomedical industry as an example. The research results indicate that in the biomedical industry based on developed-science innovation ecosystem, the development of the industry strongly depends on scientific research, and the innovation vitality is mainly concentrated at the university, scientific research institutes, and enterprises with R&D capabilities. This research provides a theoretical and practical significance for the breakthrough in national innovation from the perspective of the developed science-based innovation ecosystem.

Keywords: innovation ecosystem; innovation based on developed science; innovation population; biomedical industry; logistic model; evolutionary simulation. (search for similar items in EconPapers)
Date: 2023
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