An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway

Zhao Yun () and Bi Chongren ()
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Zhao Yun: School of Public Policy & Management, Tsinghua University, Beijing, 100084, China
Bi Chongren: School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China

Journal of Systems Science and Information, 2019, vol. 7, issue 2, 99-114

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.

Keywords: knowledge spillover; high-speed railway; cellular automata; exponential decay (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:7:y:2019:i:2:p:99-114:n:1

DOI: 10.21078/JSSI-2019-099-16

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