scholarly journals Produção científica dos programas de pós graduação: Avaliação da eficiência da Área Engenharias III

2016 ◽  
Vol 2 (2) ◽  
pp. 11-25
Author(s):  
Maria Eugenia Santana Soares Vasconcelos ◽  
Henrique Rego Monteiro da Hora ◽  
Milton Erthal Júnior
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Doctoral Program ◽  
Data Envelopment ◽  
Graduate Courses ◽  
The Real ◽  
Education Personnel ◽  
Low Efficiency ◽  
Inputs And Outputs

The evaluation of graduate courses is revealed as one of the most important areas for the application of data envelopment analysis (DEA). However, to use this method it is necessary to select the set of variables: the inputs and outputs as a basis for application of the method. In Brazil, the entity responsible for evaluating postgraduate courses is the CAPES (Higher Education Personnel Improvement Coordination), whose assessment is based on grading that can vary from 1 to 5 (in the case where there is only the master) or 7 (when IES presents the doctoral program). Given the real need to check the efficiency of the engineering III postgraduate programs. This article suggests the use of DEA based on the criteria defined by CAPES. They identify situations programs with high concept given by CAPES appearing with low efficiency.

scholarly journals STATIC VERSUS DYNAMIC DEA IN FEDERAL HIGHER EDUCATION INSTITUTIONS - IFES

2014 ◽  
Vol 32 (61) ◽  
Author(s):  
Edward Martins Costa ◽  
Francisco De Sousa Ramos ◽  
Hermíno Ramos de Souza
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Efficient Frontiers ◽  
Group A ◽  
Static Versus Dynamic ◽  
Group B ◽  
Inputs And Outputs

The present study aims to analyze intertemporal changes in productivity at Federal Higher Education Institutions (IFES) from 2004 to 2008. It examines efficient frontiers from each year using slacks-based (SBM-DEA) and dynamic slacks-based measures (DSBM) for data envelopment analysis (DEA). The total set of IFES was divided into two subsets (group A and group B) in order to minimize heterogeneity in the sector. Estimation results show that static frontiers for both groups underestimate the institution efficiency during the study period, indicating that intertemporal frontiers are more accurate when calculating efficiency since they consider a variable link between the inputs and outputs intertemporally.

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.

scholarly journals Modelling Carbon Emissions Efficiency from UK Higher Education Institutions Using Data Envelopment Analysis

2019 ◽  
pp. 1-18
Author(s):  
Adefarati Oloruntoba ◽  
Japhet Tomiwa Oladipo
Keyword(s):  
Higher Education ◽  
Energy Efficiency ◽  
Data Envelopment Analysis ◽  
Carbon Emission ◽  
Scale Effects ◽  
Higher Education Institutions ◽  
High Energy ◽  
Data Envelopment ◽  
Emission Efficiency ◽  
The Uk

Aims: To correlate the energy and carbon emission efficiency relative to research income, gross internal area, and population for all the Higher Education Institutions (HEIs) in the UK and to assess the comparative carbon emission efficiency of HEIs relative to economic metrics. Study Design:  Analytical panel data study. Place and Duration of Study: This paper evaluates the energy efficiency of 131 HEIs in the UK subdivided into Russell and non-Russell groups from 2008 to 2015. Methodology: Data Envelopment Analysis (DEA) and Malmquist productivity indexes (MPI) are used for the efficiency calculations. Results: The empirical results indicate that UK HEIs have relatively high energy efficiency scores of 96.9% and 77.6% (CRS) and 98.5%, 86.3% (VRS) for Russell and non-Russell groups respectively. Conclusion: The evidence from this study reveals that HEIs are not significantly suffering from scale effects, hence, an increase in energy efficiency of these institutions is feasible with the present operating scale but would need to work on their technical improvements in energy use. Malmquist index analysis confirms the lack of substantial technological innovation, which impedes their energy efficiency and productivity gain. Findings show that pure technical efficiency accounts for the annual efficiency obtained in the DEA model, the technological progress in contrast is the source of their energy inefficiency.

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