Abstract
The calculation for the influence of high-speed railway on knowledge spillover is based on the results of global instantaneous equilibrium in the mechanism explanation of knowledge spillover. In real production, the interaction between the high-speed railway and the regional innovation system is dynamic and local. In order to simulate the impact of high-speed railway on innovation activities in the time dimension, it is necessary to simulate scenarios under appropriate parameter assumptions. Based on the interaction of economic participants, a discrete evolutionary simulation model is established, which is helpful to predict and estimate the evolution of spatial effect of high-speed railway according to the theory of cellular automata. It is concluded that high-speed railway accelerates the formation of knowledge innovation industry cluster in the region in the process of regional knowledge innovation and evolution. Under the influence of high-speed railway, the node city will gradually evolve into a regional innovation center. By comparing the production evolution of knowledge innovation system with and without high-speed railway, the results show that high-speed railway has a more significant impact on knowledge spillover in higher knowledge privatization environment. Under the background of low labor migration rate, high-speed railway has increased the potential of regional innovation to external knowledge spillover. In the case of higher labor migration rate, the convergence rate of influence of high-speed railway on the concentration of innovation is faster.
Supported by China Postdoctoral Science Foundation (2018M641402)
Acknowledgements
The authors gratefully acknowledge the Editor and two anonymous referees for their insightful comments and helpful suggestions that led to a marked improvement of the article.
References
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Articles in the same Issue
- An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway
- Inventory Policy for a Deteriorating Item with Time-Varying Demand Under Trade Credit and Inflation
- The Carbon Effects of the Urban Ecological Recreational System Based on Systems Simulation
- The Simulation Optimization of Miners’ Unsafe Behavior Control Method
- A Modified CES Production Function Model and Its Application in Calculating the Contribution Rate of Energy and Other Influencing Factors to Economic Growth
- The Influence of Third-party E-Commerce Platform Price Limits on the Dual-Channel Strategy of Manufacturers
- Research on the Loss Sharing Contract in Supply Chain Under Asymmetric Information