An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway
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Journal of Systems Science and Information  2019, Vol. 7 Issue (2): 99-114    DOI: 10.21078/JSSI-2019-099-16
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An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway
Yun ZHAO1, Chongren BI2
1. School of Public Policy & Management, Tsinghua University, Beijing 100084, China;
2. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
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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.

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Yun ZHAO
Chongren BI
Key wordsknowledge spillover   high-speed railway   cellular automata   exponential decay     
Received: 2018-06-12;
Fund:

Supported by China Postdoctoral Science Foundation (2018M641402)

Cite this article:   
Yun ZHAO,Chongren BI. An Agent-Based Simulation Model of Knowledge Spillover Under the Influence of High-Speed Railway[J]. Journal of Systems Science and Information, 2019, 7(2): 99-114.
URL:  
http://123.57.41.99/Jwk_si/EN/10.21078/JSSI-2019-099-16     or     http://123.57.41.99/Jwk_si/EN/Y2019/V7/I2/99
 
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