DocumentCode
3090495
Title
Parametric and non-parametric methods of measuring departmental performance: An application to higher education
Author
Lei Chen
Author_Institution
Manuf. Ind. Dev. Res. Center on Wuhan City Circle, Jianghan Univ., Wuhan, China
fYear
2013
fDate
17-19 July 2013
Firstpage
786
Lastpage
791
Abstract
To evaluate the departmental performance in higher education system, we take an example of departments in a large public university in the United States. We include 19 departments for six consecutive academic years (2002-2008). Using both parametric distance function approach and non-parametric Data Envelopment Analysis approach, we estimate the technical efficiency for each department in each academic year. The result shows that social science departments on average are more efficient than natural science departments in terms of saving on input usage. We then estimate the marginal rate of substitution between inputs. We find that holding everything else constant, one faculty member´s contribution to the output production is approximately equivalent to that of four graduate assistants. Both parametric and non-parametric analyses provide us with reasonably consistent result.
Keywords
data envelopment analysis; educational institutions; further education; United States; departmental performance measurement; higher education system; natural science departments; nonparametric data envelopment analysis approach; parametric distance function approach; public university; social science departments; substitution marginal rate; Educational institutions; Equations; Frequency modulation; Mathematical model; Production; Vectors; data envelopment analysis; distance function; higher education; performance evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2013 10th International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-4434-0
Type
conf
DOI
10.1109/ICSSSM.2013.6602533
Filename
6602533
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