Abstract
Based on the analysis of the network theories, assumptions are raised about how the reciprocity influences the transfer, and theoretical models are established accordingly. Variables reflecting network reciprocity and technology transfer performance are chosen and measured based on the study of assumptions. Regression analysis of panel data is adopted to study the relation between the variables, and the result is used to verify the assumptions. Finally, corresponding advices on policy making and future study are raised according to the research results. Through empirical analysis, it is illustrated that the performance of cross-region technology transfer is improved with the increase of the region’s reciprocity relationship in the transfer network. The reciprocity relationship can significantly promote the import, export and transfer level of universities’ technologies. The region’s participation level of reciprocity cliques can accelerate the export of technology but has no significant impact on technology transfer.
Highlights
University is an important part of a country’s innovation system, and the transfer of its technological achievements is a crucial drive to the region’s innovation and economic development
When studying the influencing factors of universities’ cross-region technology transfer, current researchers mainly adopt two-dimensional analysis and focus on the influences caused by the technology itself, the subjects involved in the transfer and the transfer environment, with only a few of the researchers studying the impacts of network relations such as cross-region transfer ties or clique relationship
This report raises assumptions about the relationship between network reciprocity and the transfer based on relevant theories, and establishes theoretical models, and through regression analysis verifies the models, and based on the empirical analysis results, investigates network reciprocity’s impacts on the technology transfer
Summary
University is an important part of a country’s innovation system, and the transfer of its technological achievements is a crucial drive to the region’s innovation and economic development. Due to restrictions such as geographic distance and regional policies, the transfer tends to take place locally, which leads to two consequences: on one hand, the difference of innovation levels among different regions caused by the imbalance of education resources is increased, with innova-. Cross-region technology transfer can break these restrictions and form positive interaction of innovation resources including technology resources, capital and human resources between universities and industries, and between different regions, which can effectively bridge the gap of resource difference and coordinate the development. This report raises assumptions about the relationship between network reciprocity and the transfer based on relevant theories, and establishes theoretical models, and through regression analysis verifies the models, and based on the empirical analysis results, investigates network reciprocity’s impacts on the technology transfer
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