Can the centre–periphery model explain patterns of international scientific collaboration among threshold and industrialised countries? The case of South Africa and Germany

Torben Schubert and Radhamany Sooryamoorthy ()
Additional contact information
Torben Schubert: Fraunhofer Institute Systems and Innovation Research
Radhamany Sooryamoorthy: University of KwaZulu-Natal

Scientometrics, 2010, vol. 83, issue 1, No 12, 203 pages

Abstract: Abstract As scientific collaboration is a phenomenon that is becoming increasingly important, studies on scientific collaboration are numerous. Despite the proliferation of studies on various dimensions of collaboration, there is still a dearth of analyses on the effects, motives and modes of collaboration in the context of developing countries. Adopting Wallerstein’s world-system theory, this paper makes use of bibliometric data in an attempt to understand the pattern of collaboration that emerges between South Africa and Germany. The key argument is that we can expect the collaborative relationship between South Africa and Germany to be one that is shaped by a centre–periphery pattern. The analyses show that a theory of scientific collaboration building on the notion of marginality and centre–periphery can explain many facets of South African–German collaboration, where South Africa is a semi-peripheral region, a centre for the periphery, and a periphery for the centre.

Keywords: Scientific collaboration; Centre–periphery; South Africa; Germany; Co-authorship (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-009-0074-2 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:83:y:2010:i:1:d:10.1007_s11192-009-0074-2

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

DOI: 10.1007/s11192-009-0074-2

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 ().