EconPapers    
Economics at your fingertips  
 

Sources of convergence and divergence in university research quality: evidence from the performance-based research funding system in New Zealand

Robert Buckle (), John Creedy and Norman Gemmell

Scientometrics, 2022, vol. 127, issue 6, No 7, 3047 pages

Abstract: Abstract The introduction of performance-based research funding systems (PBRFS) in many countries has generated new information on their impacts. Recent research has considered whether such systems generate convergence or divergence of research quality across universities and academic disciplines. However, little attention has been given to the processes determining research quality changes. This paper utilises anonymised longitudinal researcher data over 15 years of the New Zealand PBRFS to evaluate whether research quality changes are characterised by convergence or divergence, and the processes determining those dynamics. A unique feature is the use of longitudinal data to decompose changes in researcher quality into contributions arising from the entry, exit and quality transformations of retained researchers, and their impacts on convergence or divergence of research quality across universities and disciplines. The paper also identifies how researcher dynamics vary systematically between universities and disciplines, providing new insights into the effects of these systems.

Keywords: Education policy; Performance-based research funding systems; Research quality; Convergence; Universities; I2; I23; I28; L38 (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/s11192-022-04376-9 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_s11192-022-04376-9

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

DOI: 10.1007/s11192-022-04376-9

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_s11192-022-04376-9