Abstract
Sustainable economic growth is closely linked to synergy in a national system of innovation. Although the dynamic synergy mechanism of the triple helix relations is essential to technology innovation, there are limited research methodologies to study or estimate the synergy effect accurately. This paper introduces a new approach in non-linear complex systems theory to offer steps towards a possible solution to this conundrum. Based on the pattern formation of the Belousov-Zhabotinsky’s reaction, the paper constructs a simulation equation to explore the evolution mechanism by comparing the ideal state with the current state in China. The research finds that (1) under the ideal balanced condition of industrial absorptive capacity and academic knowledge transfer capability, the stronger incentive policies would play much more important roles than weak policies; (2) the performance of collaborative innovation is not optimal under current situation in China, but the industrial absorptive capacity, especially in private enterprises, has exceeded the capability of knowledge transfer in academia, and it has become the main driving force to promote future innovation. If the innovation policy can be focused on the high-level balance between the knowledge network and innovation network to promote synergy in China, the innovation performance will be accelerated more efficiently.
Highlights
The sustainability of China’s hitherto economic miracle is in question
As may come to pass for some developing nations, China stands at a critical juncture between its catch-up phase that has relied on technology adaptation and one that springs from its capacity for knowledge generation and technology innovation
Nalaimnceelyn,tiuvnedpeorliincyitial (θ s=ta1te) aXn0d= s[1tr,o1n, g0]i,ntcheentsitvuedpyoilsicryes(θpe=cti2v)e. ly implemented according to the two conditions of normal incNeonrtimvealpionlciceynt(iθve=p1o)liacnydcostnrtoenxgt.inTcheentsiivmeuploalticoyn(rθes=ul2t o).f dynamic mechanism in national system of innovation (NSI) under normal Ninocremntaivl eienncvenirtoinvemepnotl(iθcy=c1o)nitsesxht.owTnheinsFimigulraeti2o,ny1riessiunldt uosftridayl nabasmoircptmivecchaapnaicsimty, iyn2 iNs SI
Summary
The sustainability of China’s hitherto economic miracle is in question. As may come to pass for some developing nations, China stands at a critical juncture between its catch-up phase that has relied on technology adaptation and one that springs from its capacity for knowledge generation and technology innovation. Different domestic economic and social contexts mean that what works in the national system of innovation, synergy mechanism among university-industry-government in one country may not work in another. According to the latest global innovation ranking released by the World Intellectual Property Organization and Cornell University, China’s innovation index in 2019, despite rising three places, still ranks 14th in the comprehensive ranking This innovation index ranking of China is roughly in the same range as which published by China Academy of science and technology strategy, or Lausanne International School of management in Switzerland. The main contribution of this paper is to introduce a simulation method in non-linear complex systems theory into the research field of TH synergy in NSI, by which reveals the dynamic evolutional mechanism among TH in Chinese NSI
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