Efficiency and Input - and Output - Substitutability in English Higher Education 1996/97 to 2007/08: A Parametric Distance Function Approach

Johnes, J (2010) Efficiency and Input - and Output - Substitutability in English Higher Education 1996/97 to 2007/08: A Parametric Distance Function Approach. Working Paper. The Department of Economics, Lancaster University.

[thumbnail of InputOutput]
Preview
PDF (InputOutput)
InputOutput.pdf - Submitted Version

Download (366kB)

Abstract

HEIs are likely to face tight fiscal constraints in the future. This paper uses random effects and stochastic frontier techniques to estimate an output distance function over the period 1997/97 to 2007/08 in order to investigate the efficiency of higher education institutions (HEIs) and to examine the opportunities for substitution between inputs. Mean efficiency across the whole sector is estimated to be 70%, and further investigation reveals that the pattern of production in the typical institution in the highest efficiency quartile is closest to the pattern of production of the average pre-1992 university. The Morishima elasticities calculated from the parameter estimates suggest that the main possibilities for substitution are out of undergraduates into other inputs and from administration into other inputs (except academic services). Opportunities for substitution are generally much more limited from postgraduate inputs, staff and academic services. A simple examination of the effects of merger activity reveals that it takes place amongst institutions which are typically performing at the same level as non-merging HEIs, and that it has beneficial effects in terms of efficiency.

Item Type:
Monograph (Working Paper)
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
?? HIGHER EDUCATIONEFFICIENCYSTOCHASTIC FRONTIER ANALYSISDISTANCE FUNCTIONSMORISHIMA ELASTICITIESDISCIPLINE-BASED RESEARCH ??
ID Code:
49007
Deposited By:
Deposited On:
11 Jul 2011 21:29
Refereed?:
No
Published?:
Published
Last Modified:
12 Sep 2023 04:19