EconPapers    
Economics at your fingertips  
 

The geographic proximity effect on domestic cross-sector vis-à-vis intra-sector research collaborations

Giovanni Abramo (), Francesca Apponi () and Ciriaco Andrea D’Angelo ()
Additional contact information
Giovanni Abramo: National Research Council of Italy
Francesca Apponi: University of Rome “Tor Vergata”
Ciriaco Andrea D’Angelo: National Research Council of Italy

Scientometrics, 2022, vol. 127, issue 6, No 27, 3505-3521

Abstract: Abstract Geographic proximity is acknowledged to be a key factor in research collaborations. Specifically, it can work as a possible substitute for institutional proximity. The present study investigates the relevance of the “proximity” effect for different types of national research collaborations. We apply a bibliometric approach based on the Italian 2010–2017 scientific production indexed in the Web of Science. On such dataset, we apply statistical tools for analyzing if and to what extent geographical distance between co-authors in the byline of a publication varies across collaboration types, scientific disciplines, and along time. Results can inform policies aimed at effectively stimulating cross-sector collaborations, and also bear direct practical implications for research performance assessments.

Keywords: Research collaborations; Geographical and institutional proximity; Co-authorship; Bibliometrics; Italy (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04404-8 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_s11192-022-04404-8

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

DOI: 10.1007/s11192-022-04404-8

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_s11192-022-04404-8