EconPapers    
Economics at your fingertips  
 

Analyzing the time delay between scientific research and technology patents based on the citation distribution model

Guijie Zhang (), Yuqiang Feng (), Guang Yu (), Luning Liu () and Yanqiqi Hao ()
Additional contact information
Guijie Zhang: Harbin Institute of Technology
Yuqiang Feng: Harbin Institute of Technology
Guang Yu: Harbin Institute of Technology
Luning Liu: Harbin Institute of Technology
Yanqiqi Hao: Harbin Institute of Technology

Scientometrics, 2017, vol. 111, issue 3, 1287-1306

Abstract: Abstract Promoting knowledge diffusion and reducing the delay between scientific research and technology patents is important to achieve success in the highly competitive global environment. This paper studies the time delay between scientific research and technology patents, and focuses on the key components of time in the promotion of knowledge transformation. Based on United States Patent and Trademark Office patent data, we apply periodical citation distribution models to the patent process. The results show that our transfer function model is better than others, and is suitable for calculating the delay between basic scientific research activities and technology patents.

Keywords: Knowledge diffusion; Time delay; Patent citation; Scientific research (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2357-3 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:111:y:2017:i:3:d:10.1007_s11192-017-2357-3

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

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 ().

 
Page updated 2019-11-06
Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2357-3