Efficiency assessment and convergence in teaching and research in Italian public universities

Calogero Guccio (), Marco Ferdinando Martorana () and Isidoro Mazza
Additional contact information
Isidoro Mazza: University of Catania

Scientometrics, 2016, vol. 107, issue 3, No 9, 1063-1094

Abstract: Abstract This paper investigates the pattern of teaching and research performances, the relationship between them, and the convergence for Italian public HEIs in the period 2000–2010, by comparing different bootstrap robust non-parametric frontier estimators. Overall we find an efficiency improvement, mainly driven by research, whereas teaching efficiency increases only in the very first years of the sample period. We also ascertain a slightly positive relationship between research and teaching performances. Furthermore, we find that Italian HEIs converge, in the observed period, although research and teaching do it at a different pace. Our empirical findings are robust to alternative estimators and bootstrapped bias correction.

Keywords: University; Efficiency; Teaching/research relationship; β-Convergence; DEA; FDH; Bootstrap (search for similar items in EconPapers)
JEL-codes: D24 I23 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1903-8 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:107:y:2016:i:3:d:10.1007_s11192-016-1903-8

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

DOI: 10.1007/s11192-016-1903-8

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 ().