Modeling the Education Supply Chain with Network DEA Model: The Case of Tunisia

Sourour Ramzi ()
Additional contact information
Sourour Ramzi: UAQUAP, ISG, University of Tunis

Journal of Quantitative Economics, 2019, vol. 17, issue 3, No 4, 525-540

Abstract: Abstract Little has been done on network DEA in education, and nobody has attempted to model the whole education supply chain using network DEA. As such the contribution of the present paper is to evaluate the efficiency of Tunisian education supply chain with a network DEA developed by Kao and Hwang (Eur J Oper Res 185:418–429, 2008). The idea consists on subdividing the education system into three sub-processes, where, primary, secondary and tertiary education are linked by intermediate variables. Input variables of the whole education system are “the number of schools” and “the number of students enrolled in the first year of basic education”. Output generated from basic education “Promoted pupils from basic education” is the only input used by secondary education. The output variable “Graduates from secondary education” is then used by tertiary education to produce the output of the whole education system which is “Graduates from tertiary education”. The results of assessment show that most governorates have a lower efficiency scores in tertiary education compared to efficiency in basic and secondary education. The results of the efficiency scores ranking demonstrate an important similarity between the ranks of the whole education system efficiency and the tertiary education efficiency. This result confirms that the inefficiency of education in Tunisia is mainly due to the inefficiency of tertiary education.

Keywords: Supply chain; Education; DEA; Network DEA (search for similar items in EconPapers)
Date: 2019
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/s40953-018-0131-x 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:jqecon:v:17:y:2019:i:3:d:10.1007_s40953-018-0131-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40953

DOI: 10.1007/s40953-018-0131-x

Access Statistics for this article

Journal of Quantitative Economics is currently edited by Dilip Nachane and P.G. Babu

More articles in Journal of Quantitative Economics from Springer, The Indian Econometric Society (TIES) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().