تطبيق أسلوب التحليل التطويقي للبيانات في قياس الكفاءة النسبية لمؤسسات التعليم العالي الجزائرية في ظل إدارة التغيير : دراسة تطبيقية على تشكيلة من مؤسسات التعليم العالي الجزائرية ما بين 2008 - 2014 = Application of Data Envelopment Analysis Method ( DEA ) in Measuring Relative Efficiency of the Algerian Higher Education Institutions under Change Management : Applied Study on the Assortment of the Algerian Higher Education Institutions during 2008 - 2014

2015 ◽  
pp. 93-110
Author(s):  
إيمان ببة ◽  
إلياس بن ساسي
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Change Management ◽  
Relative Efficiency ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Analysis Method ◽  
Applied Study

scholarly journals An Evaluation of the Annual Performance of Higher Education Institutions Using the Data Envelopment Analysis “DEA” Method (Applied Study on Algerian Higher Education Institutions)

2019 ◽  
Vol 2 (2/1) ◽  
pp. 68-80
Author(s):  
Imane Bebba
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Higher Education Institutions ◽  
Data Envelopment ◽  
Institutions Of Higher Education ◽  
Analysis Method ◽  
Scientific Publications ◽  
Applied Study ◽  
Teaching Learning ◽  
Education Performance

This paper aims to clarify how to evaluate the Algerian institutions of higher education performance using a data envelopment analysis method based on the concept of benchmarking. To achieve this the study relied on the five inputs and outputs values of quantity, and reflect the dimensions of the teaching, learning and scientific research and are : total of students enrolled in graduation, and students enrolled in post graduation, permanent professors, students graduates, and scientific publications. After applying the data envelopment analysis method, the study reached models that there is variation in the performance of the Algerian institutions of higher education from one academic year to another, and its weak performance is caused by either inefficient internal processes or poor environmental conditions.

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.

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 Approaches to Efficiency Assessing of Regional Knowledge-Intensive Services Sector Development Using Data Envelopment Analysis

Mathematics ◽  
2022 ◽  
Vol 10 (2) ◽  
pp. 173
Author(s):  
Anna Firsova ◽  
Galina Chernyshova ◽  
Ryasimya Tugusheva
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Higher Education Institutions ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Russian Regions ◽  
Services Sector ◽  
Knowledge Intensive ◽  
Using Data

The sector of knowledge-intensive services is one of the fastest-growing sectors in the present-day economy of knowledge, which explains the scientific interest in developing methods of its quantitative assessment. The object of the research is the development of new approaches to the mathematical modeling of the efficiency of the regional knowledge-intensive services sector, based on a distance function approach to assess productivity changes. An approach was proposed to analyze the efficiency of this sector using data envelopment analysis and Malmquist productivity index and its components. The article presents the results of the assessment of indicators characterizing the development of knowledge-intensive services in education, innovation, and ICT obtained from 80 Russian regions for the period 2010–2020. To perform the analysis, the following input variables were used: volume of investments in fixed assets in ICT; share of personnel employed in the ICT; share of internal expenditures on R&D in GRP; the number of personnel engaged in R&D; share of innovative-active organizations and registered patents; funding for higher education institutions; and the number of higher education institutions graduated. Output variables were number of used advanced production technologies in the region; share of innovative goods, works, and services in GRP, and use of the intellectual property. As a result of applying the data envelopment analysis, Malmquist productivity index and its components, data were obtained on the positive dynamics of the development of the knowledge-intensive services sector in Russian regions and conclusions were drawn about the sector’s growth sources due to economies of scale.

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