Measuring the efficiency changes of private universities of Korea: A two-stage network data envelopment analysis

Mehdi Shamohammadi and Dong-hyun Oh

Technological Forecasting and Social Change, 2019, vol. 148, issue C

Abstract: Like all developed economies, South Korea has focused on the importance of higher education. This study investigates trends in the teaching and research performance of Korean private universities. It uses several input and output variables for the feedback model in the analysis of a two-stage network data envelopment and evaluates the efficiency changes in Korean private universities. Our data set covers university-level data from 2010 to 2016. We employ a set of analytical procedures to classify the targeted universities based on efficiency patterns, into those oriented toward research, teaching, and research-teaching. Our main empirical findings are as follows. During the study period, we observe a deterioration in efficiency. Concentration on research outputs plays a significant role in improving university performance; the average efficiency scores for research-oriented universities are also higher than those of teaching-oriented or teaching-research-oriented universities. Based on these empirical findings, we provide several policy implications relevant to enhancing the performance of Korean private universities.

Keywords: Higher education; Efficiency; Network DEA; Private universities; Korea (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162518317190
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:tefoso:v:148:y:2019:i:c:s0040162518317190

DOI: 10.1016/j.techfore.2019.119730

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().