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Research on the Dynamic Evolution of Regional Innovation Ecosystem in the Yangtze River Delta:based on the Perspective of Heterogeneity and Symbiosis of Innovation Species |
Wu Cui1,2,Tan Qingmei1,2 |
(1.School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; 2. Jiangsu Province Civil-Military Integration industry Development Research Center, Nanjing 211106, China) |
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Abstract Diverse and heterogeneous innovation species and their high degree of symbiosis are important forces to promote the dynamic evolution of regional innovation ecosystem in the Yangtze River Delta. On the basis of clarifying the heterogeneous species' structure and function of innovation ecosystem, a theoretical model and dynamic evolutionary game model of symbiotic relationship between the regional innovation ecosystems in the Yangtze River Delta is constructed. The deduction shows that in order to achieve the goal of multilateral and long-term cooperation, it is necessary to ensure that the cooperation benefit is higher than the cooperation cost, and the premise to meet this condition are the high symbiosis of innovation species. The Lotka-Volterra model and the composite system collaborative model are respectively adopted to calculate the symbiosis degree of the innovation ecosystem vertically and horizontally with the relevant data of Shanghai, Jiangsu, Zhejiang and Anhui in the period of 2011-2018. The result shows that, the symbiosis of Shanghai, Jiangsu, Zhejiang and Anhui is increasing year by year, maintaining a good evolution trend, and the spatial differences are gradually narrowing. The mutualistic symbiosis of heterogeneous innovation species in the integrated regional innovation ecosystem of Yangtze River Delta has not been fully formed, and the capability of science and technology service agents needs to be strengthened. The development of symbiosis degree is unbalanced, and the leading role of innovation in Shanghai is not prominent enough, while that in Anhui is lower than the average.
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Received: 03 June 2020
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