EconPapers    
Economics at your fingertips  
 

The dangers of performance-based research funding in non-competitive higher education systems

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

Scientometrics, 2011, vol. 87, issue 3, No 13, 654 pages

Abstract: Abstract An increasing number of nations allocate public funds to research institutions on the basis of rankings obtained from national evaluation exercises. Therefore, in non-competitive higher education systems where top scientists are dispersed among all the universities, rather than concentrated among a few, there is a high risk of penalizing those top scientists who work in lower-performance universities. Using a 5 year bibliometric analysis conducted on all Italian universities active in the hard sciences from 2004 to 2008, this work analyzes the distribution of publications and relevant citations by scientists within the universities, measures the research performance of individual scientists, quantifies the intensity of concentration of top scientists at each university, provides performance rankings for the universities, and indicates the effects of selective funding on the top scientists of low-ranked universities.

Keywords: Performance-based research funding; Research assessment exercises; Performance variability; University; Bibliometrics; Top scientists; Italy (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-011-0355-4 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:87:y:2011:i:3:d:10.1007_s11192-011-0355-4

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

DOI: 10.1007/s11192-011-0355-4

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:87:y:2011:i:3:d:10.1007_s11192-011-0355-4