EconPapers    
Economics at your fingertips  
 

A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19

Giovanni Abramo () and Ciriaco Andrea D’Angelo ()
Additional contact information
Giovanni Abramo: National Research Council
Ciriaco Andrea D’Angelo: National Research Council

Scientometrics, 2021, vol. 126, issue 8, No 11, 6624 pages

Abstract: Abstract In this paper we develop a methodology to assess the scientific wealth of territories at field level. Our methodology uses a bibliometric approach based on the observation of academic research performance and overall scientific production in each territory. We apply it to assess disparities in the Italian territories in the medical specialties at the front line of the COVID-19 emergency. Italy has been the first among western countries to be severely affected by the onset of the COVID-19 pandemic. The study reveals remarkable inequities across territories, with scientific weaknesses concentrated in the south. Policies for rebalancing the north–south divide should also consider, in addition to tangible assets, the gap in production and availability of quality medical knowledge.

Keywords: Research systems; Research performance; Knowledge capital; Medical specialties; Coronavirus; Bibliometrics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04017-7 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:126:y:2021:i:8:d:10.1007_s11192-021-04017-7

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

DOI: 10.1007/s11192-021-04017-7

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 2022-10-01
Handle: RePEc:spr:scient:v:126:y:2021:i:8:d:10.1007_s11192-021-04017-7