EconPapers    
Economics at your fingertips  
 

To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator

Jan-Bart Vervenne, Julie Callaert, Machteld Hoskens and Bart Looy ()
Additional contact information
Jan-Bart Vervenne: KU Leuven
Julie Callaert: KU Leuven
Machteld Hoskens: KU Leuven
Bart Looy: KU Leuven

Scientometrics, 2022, vol. 127, issue 6, No 8, 3049-3082

Abstract: Abstract In this paper, we outline a methodology to assess the contribution of SMEs in corporate patenting for an extended set of European countries. The methodology consists of harmonizing, matching and disambiguating corporate applicant names from patent databases on the one hand and company names obtained from financial directories on the other hand. In order to address remaining gaps, additional sampling and extrapolation efforts are required to obtain reliable indicators. We propose a method to devise such additional efforts by means of stratified random sampling. Combining both approaches yields accurate indicators about the contribution of SMEs to the patent stock of the countries under study. The resulting indicators can be instrumental in guiding and assessing IPR and innovation policy initiatives at European and/or member state level.

Keywords: Technology; SMEs; Patent indicators (search for similar items in EconPapers)
JEL-codes: O32 O34 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04360-3 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:127:y:2022:i:6:d:10.1007_s11192-022-04360-3

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

DOI: 10.1007/s11192-022-04360-3

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:127:y:2022:i:6:d:10.1007_s11192-022-04360-3