| Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
|---|---|---|
| Article Number | 03032 | |
| Number of page(s) | 6 | |
| Section | Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization | |
| DOI | https://doi.org/10.1051/e3sconf/202123503032 | |
| Published online | 03 February 2021 | |
An Evolutionary Game Analysis of Synergetic Innovation behaviour in regional innovation networks
1
School of Economics and Management, Southeast University, Nanjing 210096, Jiangsu, China;
2
School of Economic Management, Lanzhou University of Technology, GanSu, LanZhou 730050, China
* Corresponding author. Email: lcy_811@163.com
Regional innovation network has become an important way to improve national independent innovation ability and promote regional and social development. This paper studies the evolution of the synergetic innovation system of industry-university-Research Collaboration under the government behaviour, constructs an asymmetric evolutionary game model between the government and industry-university Research collaboration, and analyses the influence of parameter changes on synergetic innovation decisionmaking behaviour. The results showed that the government’s regulatory costs, subsidies from the government, the production, will take the profit resulting from the synergetic innovation behavior, coordination costs and government punishment, and one party to the cooperative behaviour decision to bring the other side of the loss factors such as size, to participate in Innovation decision-making behaviour of the subject of dynamic evolution path and the results have important influence to the use of MATLAB software evolution paths of related factors under different conditions and the trend of simulation test and verify.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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