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 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.

scholarly journals Dimension-Specific Efficiency Measurement Using Data Envelopment Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hongjun Zhang ◽  
Youliang Zhang ◽  
Rui Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
The Other ◽  
Data Envelopment ◽  
Input Output ◽  
Single Dimension ◽  
Measuring Efficiency ◽  
Using Data ◽  
The City ◽  
Decision Making Units

Data envelopment analysis (DEA) is a powerful tool for evaluating and improving the performance of a set of decision-making units (DMUs). Empirically, there are usually many DMUs exhibiting “efficient” status in multi-input multioutput situations. However, it is not appropriate to assert that all efficient DMUs have equivalent performances. Actually, a DMU can be evaluated to be efficient as long as it performs best in a single dimension. This paper argues that an efficient DMU of a particular input-output proportion has its own specialty and may also perform poorly in some dimensions. Two DEA-based approaches are proposed to measure the dimension-specific efficiency of DMUs. One is measuring efficiency in multiplier-form by further processing the original multiplier DEA model. The other is calculating efficiency in envelopment-form by comparing with an ideal DMU. The proposed approaches are applied to 26 supermarkets in the city of Nanjing, China, which have provided new insights on efficiency for the managers.

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