The core-peripheral structure of international knowledge flows: evidence from patent citation data

2015 ◽  
Vol 46 (1) ◽  
pp. 62-79 ◽  
Author(s):  
Zifeng Chen ◽  
Jiancheng Guan
Keyword(s):  
Patent Citation ◽  
Knowledge Flows ◽  
Citation Data ◽  
The Core ◽  
Peripheral Structure ◽  
International Knowledge

scholarly journals Patent citations, knowledge flows, and catching-up: Evidences of different national experiences for the period 1982–2006

2020 ◽  
Author(s):  
Jorge Nogueira de Paiva Britto ◽  
Leonardo Costa Ribeiro ◽  
Lucas Teixeira Araújo ◽  
Eduardo da Motta e Albuquerque
Keyword(s):  
Patent Citation ◽  
Knowledge Flows ◽  
Patent Citations ◽  
Citation Data ◽  
Catching Up ◽  
Diffusion Of Knowledge ◽  
Technological Field ◽  
Matrix Cell ◽  
And Diffusion ◽  
Interaction Matrices

Abstract This paper uses information about patent citations to track the evolution of knowledge flows in selected countries engaged in catching-up processes. The analysis comprises patent citation data extracted from the USPTO database for the period 1982-2006. The data are presented through technological interaction matrices displaying the interaction between the technological fields of cited and citing patents. Each matrix cell matches the technological field(s) of one cited patent to the technological field(s) of its citing patent(s). The hypothesis is that the intensification and diversification of knowledge flows to a greater number of fields broadens the possibilities of identifying attractive opportunities for innovation, thereby multiplying the opportunities of development and catching-up. The analysis seeks to identify which technological fields concentrate the absorption and diffusion of knowledge in a given country over different periods, a consideration which tends to be related to the possibilities of catching-up processes.

scholarly journals Analysis of technological knowledge flows in the Basque Country

2019 ◽  
Vol 7 ◽  
pp. 73
Author(s):  
J. Gavilanes-Trapote ◽  
I. Etxeberria-Agiriano ◽  
E. Cilleruelo ◽  
G. Garechana
Keyword(s):  
Basque Country ◽  
Relevant Information ◽  
Technological Knowledge ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Knowledge Flow ◽  
Illustrative Case ◽  
Patent Data ◽  
Continuous Growth ◽  
Key Indicator

<p>Knowledge flow of technology is important for continuous growth and extension of science. Patent data analysis has facilitated this knowledge acquisition. The available patent information crosses borders, corresponds and interacts with new inventions to give new strength and dimension to the technology. Therefore, the patent citation information functions as a key indicator of the knowledge flow providing relevant information. It can be identified to which extent a region is a relevant technological knowledge generator to other regions. As an illustrative case, we present a study to determine the role played by the Basque Country region as a generator of technological innovation during the period 1991-2011.</p>

Hierarchical main path analysis to identify decompositional multi-knowledge trajectories

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sejun Yoon ◽  
Changbae Mun ◽  
Nagarajan Raghavan ◽  
Dongwook Hwang ◽  
Sohee Kim ◽  
...  
Keyword(s):  
Patent Citation ◽  
Knowledge Flows ◽  
Classification Systems ◽  
Patent Data ◽  
Sequencing Technology ◽  
Content Type ◽  
Patent Classification ◽  
Changing Trends ◽  
Main Path ◽  
Data Driven Approach

Purpose The purpose of this paper is to propose a quantitative method for identifying multiple and hierarchical knowledge trajectories within a specific technological domain (TD). Design/methodology/approach The proposed method as a patent-based data-driven approach is basically based on patent classification systems and patent citation information. Specifically, the method first analyzes hierarchical structure under a specific TD based on patent co-classification and hierarchical relationships between patent classifications. Then, main paths for each sub-TD and overall-TD are generated by knowledge persistence-based main path approach. The all generated main paths at different level are integrated into the hierarchical main paths. Findings This paper conducted an empirical analysis by using Genome sequencing technology. The results show that the proposed method automatically identifies three sub-TDs, which are major functionalities in the TD, and generates the hierarchical main paths. The generated main paths show knowledge flows across different sub-TDs and the changing trends in dominant sub-TD over time. Originality/value To the best of the authors’ knowledge, the proposed method is the first attempt to automatically generate multiple hierarchical main paths using patent data. The generated main paths objectively show not only knowledge trajectories for each sub-TD but also interactive knowledge flows among sub-TDs. Therefore, the method is definitely helpful to reduce manual work for TD decomposition and useful to understand major trajectories for TD.

ICT R&D and Technology Knowledge Flows in Korea

2018 ◽  
Vol 29 (4) ◽  
pp. 51-69
Author(s):  
Woo-Jin Jung ◽  
Sang-Yong Tom Lee
Keyword(s):  
Technology Development ◽  
Statistical Test ◽  
Patent Citation ◽  
Knowledge Flows ◽  
Patent Data ◽  
Technology Spillover ◽  
Popular Method ◽  
Technology Knowledge ◽  
Important Position ◽  
Better Than

This study measured the R&D outcomes of Korea's firms by analyzing the changes and patterns of technology knowledge flows and tried to see whether the outcomes of ICT R&D were better than those of non-ICT R&D. Using the registered patent data from 2008 and 2009, the authors computed the technology cycle time (TCT) and various centrality indexes with social network analysis (SNA), a popular method in patent citation analyses (PCA). In particular, the authors developed a technology spillover network and industry absorption network for the SNA. Having done these analyses, this study additionally conducted a confirmatory statistical test to compare ICT R&D with non-ICT R&D in terms of their performances. The authors found that Korea's ICT R&D has achieved higher levels of technology development speed, technology spillover and industry absorption when compared to non-ICT segments. The authors were also able to determine which particular ICT R&D is in an important position in terms of technology knowledge flows.

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