A system dynamics model of the formation of national innovative capacity and its applications

Abstract

Abstract: The formation mechanism of national innovative capacity is analyzed and the process-oriented conceptual framework of national innovative capacity is designed. Firstly,by dividing the national innovation system into three basic functional modules including resources, environment, and output, the general cause-effect feedback loops of the NIS are designed. Secondly, the RBF neural-network is used to testify the basic assumptions on the relationship between different function modules, and based on the testing results, the System Dynamics (SD) model which is aimed at to show how government policies affect the innovation is set up. Finally, by introducing input delay, pulse and step function into the NIS, how S&T investment, personnel training, intellectual property protection, tax incentives, and other factors affect the output of the NIS is discussed.

Key words: national innovative capacity, neural network, SD

CLC Number:

F204

Liu Fengchao, Feng Tingting. A system dynamics model of the formation of national innovative capacity and its applications[J]. Science Research Management, 2011, 32(8): 17-25.

References

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