EconPapers    
Economics at your fingertips  
 

Bibliometric analysis on additionality of Japanese R&D programmes

Takayuki Hayashi ()
Additional contact information
Takayuki Hayashi: National Institution for Academic Degrees

Scientometrics, 2003, vol. 56, issue 3, No 2, 316 pages

Abstract: Abstract To justify public investment in R&D activities especially those conducted by private companies, the effect to change their behavior into what could not be realized without public funds is required. This paper studies the "additionality" of Japanese R&D programmes by analyzing the patent applications of five case study projects. Changes and continuations in research themes between the results of the project and the results in five years before and after the project were measured using a similarity index. Also, the similarities between research groups in a project were measured. These show how each project was constituted by researchers with various types of knowledge. As a result, although all projects contained core research groups who continued their research in the project, the effect of mobilizing other researchers into new fields was shown to vary depending on the characteristics of the projects.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1023/A:1022370602270 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:56:y:2003:i:3:d:10.1023_a:1022370602270

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

DOI: 10.1023/A:1022370602270

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:56:y:2003:i:3:d:10.1023_a:1022370602270