EconPapers    
Economics at your fingertips  
 

Efficiency measurement of higher education units using multilevel frontier analysis

Abolghasem Naderi ()
Additional contact information
Abolghasem Naderi: University of Tehran

Journal of Productivity Analysis, 2022, vol. 57, issue 1, No 5, 79-92

Abstract: Abstract This study aims at evaluating the crucial effects of incorporating heterogeneities and hierarchies in the efficiency evaluation of higher education units through conducting multilevel frontier analysis. Using two sets of data on academic departments nested within faculties, and faculties within colleges of a comprehensive university in Iran, we simultaneously evaluate efficiency scores of departments, faculties, colleges, and the university. It has been shown that: (1) there is a great degree of heterogeneities among departments, faculties, and colleges of the university; (2) incorporating the heterogeneities changes efficiency scores which accordingly questions the accuracy of standard DEA and SFA efficiency estimates; (3) multilevel modelling helps to uncover huge differences in behavior and performance through decomposing overall efficiency scores into multiple measures of efficiency; and (4) departments, in comparison with faculties and colleges, play a more significant role in the overall performance of the university. Resource allocation policy implications of the findings were also discussed.

Keywords: C14; C67; I21; I23; Technical efficiency; Iranian academic departments; Higher education and research performance; Multilevel Frontier Analysis Models (search for similar items in EconPapers)
Date: 2022
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/s11123-021-00621-0 Abstract (text/html)
Access to full text is restricted to subscribers.

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:kap:jproda:v:57:y:2022:i:1:d:10.1007_s11123-021-00621-0

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-021-00621-0

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2022-10-22
Handle: RePEc:kap:jproda:v:57:y:2022:i:1:d:10.1007_s11123-021-00621-0