Notice of Retraction: Evolutionary game analysis on cooperation by innovation subjects in regional innovation system

Author(s):  
Zhang Ying ◽  
Chen Bo
2021 ◽  
pp. 097172182110204
Author(s):  
Yi Su ◽  
Xuesong Jiang ◽  
Zhouzhou Lin

A small-world simulation model of a regional innovation system combining the strength of the intersubject relationship of the regional innovation system with the loosely coupled system is constructed. We use a simulation to observe knowledge flow within the regional innovation system under relationships of varying strength. The results show that when the relationship between the subjects of the regional innovation system reaches a certain strength, the system will exhibit high module independence and high network integrity, forming a loosely coupled system. The knowledge flow in the system exhibits the emergence of a fast flow rate, a high mean value and little variance. When relationship strength is at other levels, the emergence of knowledge cannot be identified.


2021 ◽  
Vol 16 (4) ◽  
pp. 694
Author(s):  
Jasmina Berbegal Mirabent ◽  
Dolors Gil Doménech ◽  
Carolina Senent Bailach

2009 ◽  
Vol 84 (3) ◽  
pp. 649-667 ◽  
Author(s):  
Irene Ramos-Vielba ◽  
Manuel Fernández-Esquinas ◽  
Elena Espinosa-de-los-Monteros

2015 ◽  
Vol 13 (4) ◽  
pp. 57-62
Author(s):  
Tatyana N Bessonova

Abstract: When forming the regional innovation system, everyone should take into account specific conditions and the possibility to develop regional economic complexes. Modern development of oil and gas producing region implies an increase in cooperation between all participants of the innovation process. The most promising organizational form of such an association in Khanty-Mansiysk Autonomous Okrug - Yugra is Yugra Technopolis. It aims to strengthen the interaction of research and industrial sectors, to improve the commercialization of scientific research results


2021 ◽  
Vol 235 ◽  
pp. 03032
Author(s):  
Dong Li ◽  
Chunyan Liu

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.


Sign in / Sign up

Export Citation Format

Share Document