Inno-Qual efficiency of higher education: Empirical testing using data envelopment analysis

2011 ◽  
Vol 38 (3) ◽  
pp. 1823-1834 ◽  
Author(s):  
Jui-Kuei Chen ◽  
I.-Shuo Chen
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Empirical Testing ◽  
Using Data

scholarly journals EFFICIENCY OF PUBLIC SPENDING ON HIGHER EDUCATION: A DATA ENVELOPMENT ANALYSIS FOR EU-28

2019 ◽  
Vol 77 (3) ◽  
pp. 396-409 ◽  
Author(s):  
Maja Mihaljevic Kosor ◽  
Lena Malesevic Perovic ◽  
Silva Golem
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Public Spending ◽  
Data Envelopment ◽  
Market Mechanisms ◽  
Measurement And Analysis ◽  
Education Statistics ◽  
Using Data ◽  
The Relationship ◽  
Policy Proposals

One of the main goals of education policy is to enhance educational outcomes. If resources are used inefficiently, they will fail to maximise those outcomes. Data Envelopment Analysis was used to calculate technical efficiency of public spending on education for EU-28 using the latest higher education statistics available. Focusing on European higher education, conceptual and methodological issues related to the measurement and analysis of efficiency were discussed. The most efficient countries are identified and also countries for which real efficiency improvements are possible. A novel set of variables is used to highlight more appropriately the distinctiveness of the higher education sector and the relationship between input and outputs. The advantage of using Data Envelopment Analysis is that it identifies the best performing decision, making units and not the averages. This type of information about the efficiency of public spending on education is of importance to many parties. It can be used to promote ‘yardstick’ competition in the areas of education where the lack of market mechanisms is apparent, guide policy proposals, and to enhance the monitoring of education. Key words: efficiency in education, higher education, public spending, data envelopment analysis, European Union.

scholarly journals Efficiency of Higher Education in the Presence of Shared Inputs using Data Envelopment Analysis

2021 ◽  
Vol 50 (11) ◽  
pp. 3421-3438
Author(s):  
Michael Gidey Gebru ◽  
Saqlain Raza ◽  
Mansoor Shaukat Khan
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Shared Resources ◽  
Research Activity ◽  
Teaching Efficiency ◽  
Overall Efficiency ◽  
Internal Operations ◽  
Using Data ◽  
Research Efficiency

This study measures the efficiency of higher education institutions with respect to teaching activity, research activity, and overall activities and also provides a direction for low-performing institutions to improve their performance. In many instances, the efficiency of the institution is a sum up of the efficiency of its activities. However, when the activities consume some resources in common, it requires the allocation of shared resources among the activities. Since sums up the efficiency of each activity does not give the institution's overall efficiency, we use a joint data envelopment analysis that takes into account the institution's internal operations to measure the teaching efficiency, research efficiency, and overall efficiency of the institutions. The empirical results indicate that the institutions that execute both activities simultaneously become more productive rather than adopt a single activity. Hence, this study suggests a useful and measurable action to improve the institution’s performance.

Efficiency of Indigenous and Intercultural Higher Education and Research Programs

2021 ◽  
Vol 2 (2) ◽  
pp. 29-44
Author(s):  
José G. Vargas-Hernández ◽  
Ernesto Guerra-García
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Educational Programs ◽  
Intermediate Level ◽  
The Other ◽  
Total Efficiency ◽  
Data Envelopment ◽  
Research Programs ◽  
Government Financing ◽  
Using Data

A study was carried out using data envelopment analysis, in which variables (inputs and outputs) of a group of 13 public HEIs from the northwest of the country were compared with data from the 2018-2019 cycle to characterize the UAIM. It was found that 1) when considering government financing and generated own resources, UAIM has an efficiency of 39%; 2) when considering ordinary financing and tuition, the institution is 100% efficient; 3) in relation to the total number of teachers and enrollment has an efficiency of 39%, it has the capacity to serve up to 14,325 students; 4) it has an efficiency of 26% in relation to the total and accredited educational programs; and 5) the total efficiency is 51% and represents an intermediate level with respect to the other HEIs, which on average is 56%.

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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