Please wait a minute...
Data Analysis and Knowledge Discovery
Current Issue | Archive | Adv Search |
A Comparative Study on the Technology Diffusion Structure of China and the US to the Belt and Road region
Gao Yilin,Min Chao
(School of Information Management, Nanjing University, Nanjing 210023, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective]Based on the patent perspective and the Belt and Road Initiatives, this study explored the characteristics and structure of international technology diffusion in different technological fields of major science and technology countries,represented by China and the United States. [Methods] Based on the data of PCT international patent cooperation and transnational patent application, this study used social network QAP analysis to measure the synergy of the two technology diffusion channels from the technical and regional levels. [Results] On the one hand, China ’s patent deployment along the Belt and Road region has achieved initial results. Technology diffusion formed a high degree of technological synergy. On the other hand, there is a certain gap between China and the United States in terms of the structure and extent of technology diffusion. [Limitations] The study only compared the technological diffusion of China and the United States without other countries’ technology diffusion. The characteristics of other types of technology diffusion channels such as intellectual property trade have not been analyzed yet.[Conclusions] Through the comparison of the technology diffusion structure of China and America and channels synergy analysis, this study provided a reference of implementing the Belt and Road Technology Strategy for China.

Key words International Technology Diffusion      the Belt and Road Initiatives      Patent Application      Social Network Analysis      Synergy      
Published: 08 March 2021
ZTFLH:  G306  

Cite this article:

Gao Yilin, Min Chao. A Comparative Study on the Technology Diffusion Structure of China and the US to the Belt and Road region . Data Analysis and Knowledge Discovery, 0, (): 1-.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467. 2020.1168     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y0/V/I/1

[1] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[2] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[3] Peng Guan,Yuefen Wang. Advances in Patent Network[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[4] Chen Fen,Fu Xi,He Yuan,Xue Chunxiang. Identifying Weibo Opinion Leaders with Social Network Analysis and Influence Diffusion Model[J]. 数据分析与知识发现, 2018, 2(12): 60-67.
[5] Wang Zhongyi,Zhang Heming,Huang Jing,Li Chunya. Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis[J]. 数据分析与知识发现, 2018, 2(11): 80-94.
[6] Li Fei,Zhang Jian,Wang Zongshui. Review of Social Recommendation with Bibliometrics and Social Network Analysis[J]. 数据分析与知识发现, 2017, 1(6): 22-35.
[7] Fan Ruxia,Zeng Jianxun,Gao Yaruixi. Recognizing Dynamic Academic Impacts of Scholars Based on Cooperative Network[J]. 数据分析与知识发现, 2017, 1(4): 30-37.
[8] Wang Yuefen,Jin Jialin. Characteristics and Development Trends of Papers from “New Technology of Library and Information Service”[J]. 现代图书情报技术, 2016, 32(9): 1-16.
[9] Wu Yingliang, Yao Huaidong, Li Cheng'an. An Improved Collaborative Filtering Recommendation Algorithm with Indirect Trust Relationship[J]. 现代图书情报技术, 2015, 31(9): 38-45.
[10] Ren Ni, Zhou Jiannong. The Discovery and Evaluation of Research Team Under the Mode of Weighted Co-Author Network[J]. 现代图书情报技术, 2015, 31(9): 68-75.
[11] Tan Min, Xu Xin. The Empirical Study of h-Degree in Recommendation Network of Academic Blogs——Taking ScienceNet.cn Blogs as an Example[J]. 现代图书情报技术, 2015, 31(7-8): 31-36.
[12] Huang Wei, Gao Junfeng, Wang Chen, Qi Yue. Research on a Method of Implicit Knowledge Push Service Based on Social Network Analysis[J]. 现代图书情报技术, 2014, 30(2): 48-54.
[13] Zhou Shanshan, Bi Qiang, Gao Junfeng. A Method of Information Retrieval Results Visualization Based on Social Network Analysis[J]. 现代图书情报技术, 2013, 29(11): 81-85.
[14] Liang Chen, Xu Jian. Research on Methods and Tools of Social Network Visualization[J]. 现代图书情报技术, 2012, 28(5): 7-15.
[15] Yuan Yuan, Sun Xiaoling, Zhu Qinghua. Research on Attention Behavior of Microblog Users Based on Social Network Analysis[J]. 现代图书情报技术, 2012, 28(2): 68-75.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn