Research on Evolutionary Game of Collaborative Innovation Among High - Tech Industries - From the Perspective of Trust Relationship

Abstract

In the era of 'Internet+' background, large flow, strong liquidity and short shelf life become the characteristics of information, technology specialization, increasing complexity, it is difficult for individual enterprises to grasp all the elements needed for successful innovation. In order to study the problem of collaborative innovation among high-tech inadustries, from the perspective of trust relationship between subjects, an evolutionary game model of collaborative innovation is constructed based on the technology intensity and spillover of high-tech industries, and the strategy evolution of subjects under market mechanism and government regulation is analyzed. The results show that innovation output and technology transformation ability promote collaborative innovation; r & D costs, 'free rider' income and so on hinder the collaborative innovation between industries; the influence of trust relationship and distribution coefficient on collaborative innovation depends on the situation. In addition, through simulation, it is found that the reward and punishment mechanisms of policies have their own advantages and disadvantages and complement each other, and the impact of supervision on collaborative innovation is diminishing marginal benefits. It is found that a reasonable policy combination can stimulate innovation potential more effectively. It is proposed that the strong technology spillover and mutual solubility between high-tech industries also lead to technology imitation. In the process of collaborative R & D, it is necessary to establish a solid strategic partnership, adhere to trust rationality, grasp the scale, and promote collaborative innovation. Under the principle of trust rationality, information sharing, cost sharing, and efforts to increase technology and information output can increase innovation benefits; the government should follow the economic law when making policies, rationally combine policies, make good use of the 'push' and 'pull' of the policy reward and punishment mechanism, promote collaborative innovation among industries, and enhance the driving force of innovation for economic development.