Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis

2016 ◽  
Vol 22 (1) ◽  
pp. 11-33 ◽  
Author(s):  
Cristian Barra ◽  
Roberto Zotti
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Empirical Study ◽  
Data Envelopment ◽  
Measuring Efficiency

scholarly journals Efficiency assessment of public higher education with the application of data envelopment analysis: The evidence from Poland

2016 ◽  
Vol 4 (2) ◽  
pp. 59-73 ◽  
Author(s):  
Michał Pietrzak ◽  
Piotr Pietrzak ◽  
Joanna Baran
Keyword(s):  
Social Sciences ◽  
Higher Education ◽  
Data Envelopment Analysis ◽  
Empirical Investigation ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Public Higher Education ◽  
Efficiency Assessment ◽  
Measuring Efficiency ◽  
Dea Method

Higher education is a form of a merit good. This is why governments usually support the delivery of this good. However, one could doubt the efficiency of such solution. How well do public higher education institutions (HEIs) do their job? How to measure their performance? This paper discusses these issues. First, we discuss the problem of defining and measuring efficiency in the case of publicly held HEIs with particular emphasis put on the Data Envelopment Analysis (DEA) method. Secondly, we present the results of our empirical investigation of efficiency assessed using the DEA method conducted on the sample of 33 Poland faculties specialized in social sciences . We use Charnes-Cooper-Rhodes (CCR) output oriented model with two inputs and three outputs. Next, we present some important differences in efficiency of those faculties. We also define benchmarks for inefficient HEIs and quantify the gaps to be fulfilled by them in order to become efficient. Finally, we pinpoint the directions of further research.

scholarly journals ASSESSMENT OF TFP IN EUROPEAN AND AMERICAN HIGHER EDUCATION INSTITUTIONS – APPLICATION OF MALMQUIST INDICES

2016 ◽  
Vol 24 (2) ◽  
pp. 467-488 ◽  
Author(s):  
Joanna WOLSZCZAK-DERLACZ
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Productivity Growth ◽  
Negative Association ◽  
Distance Measures ◽  
Data Envelopment ◽  
Total Revenue ◽  
American Higher Education ◽  
Malmquist Indices ◽  
The U.S

In this study we apply Malmquist methodology, based on the estimation of distance measures through Data Envelopment Analysis (DEA), to a sample of 500 universities (in 10 European countries and the U.S.) over the period 2000 to 2010 in order to assess and compare their productivity. On average, a rise in TFP is registered for the whole European sample (strongest for Dutch and Italian HEIs), while the productivity of American HEIs suffered a slight decline. Additionally, we show that productivity growth is negatively associated with size of the institution and revenues from government, and positively with regional development in the case of the European sample, while American HEI productivity growth is characterised by a negative association with GDP and a positive one with the share of government resources out of total revenue.

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