Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012

Yuandi Wang, Xin Pan, Xinyu Wang (), Jin Chen, Lutao Ning and Ying Qin
Additional contact information
Yuandi Wang: Sichuan University
Xin Pan: Sichuan University
Xinyu Wang: China University of Mining and Technology
Jin Chen: Tsinghua University
Lutao Ning: Queen Mary, University of London
Ying Qin: Science and Technology Promotion and Development Research Center in Sichuan Province

Scientometrics, 2014, vol. 98, issue 3, No 22, 1935-1954

Abstract: Abstract To explore the rules of knowledge transfer and application activities in knowledge space, defined at both temporal and spatial scales, the present study employs a unique dataset of Chinese patent licensing during the period of 2000–2012, with a total of 91,551 patents. Our results indicate that 70 % of patents were licensed out in the first 3 years. As time elapses, the annual average technology age decreases. There is a moderate difference among different types of licensors and patent types but not technology domains. With regards to the spatial dimension, 86 % of patents were licensed out within 1,000 km. The annual average geographical distance exhibits the same trend as technology age. Except for technology domains, a moderate difference among licensors and patent types is observed. Moreover, the interaction between geographical distance and technology age shows that as the technology age increases, this technology appears to be transferred and applied over greater distances.

Keywords: Knowledge space; Technology transfer; Patent; Technology age; Geographical distance (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-013-1135-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1135-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-013-1135-0

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().