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Measurement and prediction of the relationships among the patent cooperation network, knowledge network and transfer network of the energy storage industry in China by Wenting Wang; Lirong Jian; Yunyun Lei; Jun Liu; Wenjian Wang is a Engineering article available to read on EtoBox.

What is Measurement and prediction of the relationships among the patent cooperation network, knowledge network and transfer network of the energy storage industry in China about?

The commercialization process of energy storage patents affects the development of the energy storage industry. Clarifying the relationships between the characteristics of the applicants and patent transfer can facilitate technology transfer. In this study, China’s energy storage patent data from 2009 to 2021 were divided by the rolling period. Based on this, the patent cooperation network, knowledge network, and transfer network were constructed via social network analysis. The analysis reveals the following. First, the number of industry-university-research institutions that jointly apply for patents is increasing, and the knowledge field is also expanding. Cooperation and transfer activities are more frequent in the eastern developed regions of China. Second, by using grey relational analysis theory, it was found that the degree centrality, closeness centrality, and clustering coefficient of the cooperation network are closely related to the transfer network. Compared with the cooperation network, the energy storage knowledge network has a more significant relationship with the transfer network. The knowledge elements stock of patent transferor and transferee is more relevant to

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Author

Wenting Wang; Lirong Jian; Yunyun Lei; Jun Liu; Wenjian Wang

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)