Research About The Impact Of Embeddedness In Global Value Chain On Biomedical Incubation Performance

Biomedical incubators,as a professional technology business incubator,play an invaluable role in the development of biomedical technological achievements and the promotion of local economic and innovative capabilities.In the context of economic globalization,the incubator community characterized by spatial agglomeration is gradually being replaced by the global value chain system of cross-border cooperation.The global value chain is embedded in every aspect of the operation of the biomedical incubator,which will introduce international advanced technology,intelligence and Capital,and achieve global resources,and break through their own development barriers,and create good knowledge effects and learning effects.In this environment,knowledge and information sharing and circulation can be achieved around the world,which will maintain the vitality of biomedical incubators and upgrade the power.Therefore,based on the theory of global value chain and the theory of incubator,this paper analyzes and discusses the mechanism of the performance of biomedical incubator,and analyzes the effect between global value chain embedding process and biomedical incubator performance.The structural equation model(SEM)is used to validate the theoretical model of the impact of the global value chain embedding and learning effect on the performance of biomedical incubator.The results show that the structural embedding has positive impacts on exploratory learning and exploitation learning,and that relational embedding has positive influence on exploratory learning,and that cognitive embedding has positive effect on the exploitation learning.The negative correlation is among the effect of relational embedding on the exploitation learning,the impact of embedded knowledge on exploratory learning;exploratory learning will have a significant impact on innovation performance;Learning effect play a mediator effect role between the global value chain embedding and bio-medical incubator performance.