冷志惠（学），孙涵等China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents
我校经济管理学院孙涵老师团队在T1级别期刊——《Resources Policy》上发表题为“China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents”。论文第一作者为博士生冷志惠，通讯作者孙涵为经济管理学院副教授、博士生导师。
Abstract /摘要：
Based on patent information, the paper analyzes the technological comparative advantages from the perspective of industrial chain, and adopts the Social Network Analysis (SNA) method and knowledge production function model to explore technological innovation network structure of China's rare earth industry and its driving force. The results show that, overall, China's rare earth industry technological innovation ability has continued to increase in terms of the breadth and depth, and the industrial chain has shown the characteristics of “strong upper and weaker lower”. The network structure analysis show that the overall technical connection network tends to be close and stable, but it is still in a state of weak connection. In terms of individual networks, technologies represented by the development, extraction and smelting of rare earth resources constitute the core participants in the innovation network, and play the role of the power and control center of the technological innovation network. Further factors identification shows that China's innovation environment is the biggest driving force for technological innovation in the rare earth industry, followed by R&D investment and resource retention capacity. Additionally, the development of strategic emerging industries related to rare earths and resource production capacity have obvious lag effect on the technological innovation level.
论文信息：
Title:China's rare earth industry technological innovation structure and driving factors: A social network analysis based on patents
Author:Leng Zhihui; Sun Han; Cheng Jinhua; Wang Hai; Yao Zhen
Key words:Rare earth industry; Technological innovation; Social network analysis; Driving factors
Journal:Resources Policy
Published:July 2021
DOI:10.1016/J.RESOURPOL.2021.102233
全文链接：
https://www.sciencedirect.com/science/article/pii/S0301420721002440?via%3Dihub
