A Regional University-Industry Cooperation Research Based on Patent Data Analysis
Asian Social Science
Regional university-industry cooperation has been focused because it improves innovation ability of enterprises and regions. The paper uses regional patent data from 2001 to 2008 to measure regional university-industry cooperation. By carefully data disposition, we get patent data records representing regional university-industry collaboration. Through patent data analysis from different angles and comparison of geographic knowledge flows, this paper describes the situation of regional
... y-industry cooperation. Then social network analysis method is adopted to depict how universities, scientific research institutes and enterprises co-work to innovate. In virtue of the method, we acquire visualization of cooperation microstructure. Five kinds of sub cooperation network are distinguished to study the cooperation. These findings can be used to measure regional university-industry cooperation and put forward improving suggestions. Two core style: In the sub network there are only two nodes. It means that the Shenzhen university (scientific research institute) or the enterprise in the sub network cooperate with one corresponding sector (e.g., node71-72). Streamline style: In the sub network there are nodes whose number is greater than 2. The nodes are connected as lines (e.g., node 117-23-28). This sub cooperation network has no core node. Kernel style: There is an important node in kernel style and other nodes are connected with the node. The network appears outward diffusion. The key node is very important in the cooperation (e.g., kernel node 20). Bridge style: In this style, a node links two sub network Similar to kernel style, the linkage node is the key point (e.g., bridge node 130). Netback style: The nodes in this style are connected with each other. This style is rather stable (e.g., node 191-192-193-194)).