Growth Path of Industrial Clusters Embedded in Global Value Chains From the Perspective of Knowledge Transfer

He Bin and Meng Weidong
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He Bin: Chongqing University, China & Southwest University of Political Science and Law, China
Meng Weidong: Chongqing University, China

International Journal of Distributed Systems and Technologies (IJDST), 2022, vol. 13, issue 4, 1-15

Abstract: How local industrial clusters realize industrial upgrading in the development process of embedded global value chain is the central topic. To explore how industrial clusters achieve the enhancement of their innovation capability and value chains when they are embedded in the global value chain, from the perspective of knowledge transfer, three fuzzy game models of knowledge transfer paths were constructed, and the model of the realization mechanism of knowledge transfer and its stability condition was analyzed, which make clear the path of cluster growth under different embedding modes. Results show that the knowledge transformation ability of local industrial clusters is the determining factor that the knowledge transfer can smoothly achieve and become stable. The conclusion also shows the feasibility of the cross-sectional growth of industrial clusters by actively embedding the global value chain and acquiring external knowledge transfer if the industrial clusters want to enhance their technology accumulation, their innovation ability, and their position in the global value chain.

Date: 2022
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