Study on the measurement of international knowledge flow based on the patent citation network

被引:11
作者
Ye, Xuanting [1 ]
Zhang, Jian [2 ]
Liu, Yun [1 ]
Su, Jun [3 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Cent Univ Finance & Econ, Sch Govt Adm, Beijing 100081, Peoples R China
[3] Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
patent citation network; transnational patent citation; knowledge flow; social network analysis; EXAMINER CITATIONS; SPILLOVERS;
D O I
10.1504/IJTM.2015.072971
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A quantitative analysis based on patent citation is an effective method for measuring transnational knowledge flow. The understanding of knowledge flow among countries provides a special perspective for enhancing the realisation of the interaction between different national innovation producers. This paper analyses a transnational patent citation network in the field of electrical and electronic technology during three different time periods from 1984 to 2006, based on the United States Patent and Trademark Office (USPTO) patent statistic database, published by the National Bureau of Economic Research (NBER). The paper utilises the methods in social network analysis, such as k-core and block modelling, to analyse the patterns and features of international knowledge flow from the following perspectives: the distribution of transnational patent citations, the core-periphery structure of the transnational patent citation network, and the internal knowledge flow among countries of the coregroup.
引用
收藏
页码:229 / 245
页数:17
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