New indicators linking patenting and business R&D expenditure
Luciano Lombardo ()
Additional contact information
Luciano Lombardo: Association for Research between Italy and Australasia (ARIA-Canberra)
Scientometrics, 2008, vol. 76, issue 2, No 1, 224 pages
Abstract:
Abstract The paper presents a new national level indicator based on shares of OECD aggregate ‘external’ patent applications world-wide. It provides the first reliable trend data for patent applications since new patent application procedures were introduced in the 1980s. The trends show a strong correlation with business R&D expenditure (BERD) trend data similarly based on shares of OECD aggregate BERD, reaffirming a relationship observed in previous studies using granted patents. However the reliability of the current indicator over an extended 20 year period shows that in two cases, the US and UK, there is divergence in correlation over part of the period studied. This aspect of the study provides evidence that the surge in external patenting in the US, over the period 1989 to 1996, is not driven by BERD and strongly suggests public sector research as a driver. This result shows that the new patent applications indicator can monitor factors in national systems not easily observed by other means. In this case it shows potential for monitoring the success of policies in driving public sector research towards commercial outcomes.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-007-1631-1 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:76:y:2008:i:2:d:10.1007_s11192-007-1631-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-007-1631-1
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 ().