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Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels.
Xia, Wei; Wang, Zilin; Zhang, Jindou; Yu, Jianping; Qiu, Liping; Yang, Zedong.
  • Xia W; Institute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
  • Wang Z; School of Trade Negotiations, Shanghai University of International Business and Economics, Shanghai, China.
  • Zhang J; School of Management, Beijing University of Chinese Medicine, Beijing, China.
  • Yu J; School of Business Administration, Jimei University, Xiamen, China.
  • Qiu L; China Center for Economic Research, East China Normal University, Shanghai, China.
  • Yang Z; Xinjiang Innovation Management Research Center, Xinjiang University, Urumqii, China.
Front Public Health ; 10: 985576, 2022.
Article in English | MEDLINE | ID: covidwho-2023008
ABSTRACT
The Chinese Plan has provided an important model for the global fight against COVID-19 since its outbreak. The present study describes the structural characteristics of China's COVID-19 patent cooperation network at the province, city, and applicant levels by using social network analysis based on data from the Incopat global patent database since 2020, which helps to clarify the current technology accumulation in this field in China, and provide patent information support for the scientific efforts to fight against COVID-19. The findings are as follows First, the inter-regional cooperation level in China's COVID-19 patent cooperation network shows a decreasing trend from eastern to central to western regions. At the inter-applicant cooperation level, kinship-based cooperation is the strongest, business-based cooperation has the widest scope, while proximity-based cooperation exists throughout these two main models of cooperation. Second, coastal provinces and cities occupy a core position in the network, and play an important role in utilizing structural holes and bridging. Patent applicants with high centrality are mostly firms. Research institutes and universities mainly play the role of bridges. Third and lastly, there is no large number of cliques at the province and city levels. However, there is a tendency for cliques to develop at the applicant level. Hence, actions are needed to prevent the development of information barriers.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.985576

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: Front Public Health Year: 2022 Document Type: Article Affiliation country: Fpubh.2022.985576