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Abstract

Industrial cluster is a common phenomenon in the process of industrialization. It is an external scale formed by agglomeration effect. Cluster enterprises based on their comparative advantages, innovation will be in the system innovation, management innovation, technological innovation, corporate culture innovation and other all-round development. The empirical results show that the development of industrial clusters attracts and promotes a large number of intermediary service-oriented organizations, as well as institutions providing research and development and technical support, providing innovative incubation platform. The diffusion behavior of technological innovation of enterprises in clusters plays an important role in upgrading industrial clusters, but uncontrolled imitation behavior will reduce the expected profits of enterprises taking the lead in innovation and increase innovation risks. At the same time, the supporting innovation service system integrates and improves the factors gathering and optimization needed for innovation, and provides a technological support platform for enterprises in clusters to innovate.Therefore, the government’s policy should be biased towards establishing an effective mechanism for the interaction between scientific and technological innovation and industrial clusters, so as to achieve a good situation of the interaction between economy and science and technology.

Keywords

Fuzzy model industrial cluster technological innovation complex network

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