Evaluating the performance of Tunisian higher Institutes of Technological Studies (ISETs) using a stochastic frontier analysis

Anis Bouzouita and Imen Kooli

Evaluation and Program Planning, 2024, vol. 107, issue C

Abstract: Benefiting from low repetition and dropout rates, as well as their excellent employability rate of their students, the Higher Institutes of Technological Studies (ISETs) have acquired a strategic position in the Tunisian higher education system. This paper aims to use the Stochastic Frontier Analysis (SFA) method to measure the efficiency of Tunisian Higher Institutes of Technological Studies (ISETs) and to determine the factors that cause performance differences. The results indicate that ISETs appear well managed, although some of them warrant a more detailed analysis (below-average efficiency). Also, it was found that the ISETs situated in the most industrialized part of the country, the Central-East, record highest scores of efficiency, while those in the South-East show more homogeneous efficiency. The results underscore the importance of focusing support and improvement efforts on ISETs located in less developed regions or those with lower efficiency levels. Moreover, the negative relationship between the age of institutions and their efficiency suggests that reforms to institutional practices may be necessary for older establishments. Finally, institutes that are located in one of the main cities will not necessarily be more efficient than the others. The findings presented in this paper have targeted and practical implications for the development of the ISET network in Tunisia.

Keywords: Efficiency; Higher education institutions; Stochastic frontier analysis; Tunisia (search for similar items in EconPapers)
JEL-codes: C13 C23 D24 I23 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014971892400082X
Full text for ScienceDirect subscribers only

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:eee:epplan:v:107:y:2024:i:c:s014971892400082x

DOI: 10.1016/j.evalprogplan.2024.102480

Access Statistics for this article

Evaluation and Program Planning is currently edited by Jonathan A. Morell

More articles in Evaluation and Program Planning from Elsevier
Bibliographic data for series maintained by Catherine Liu ().