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.

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.

Studying Philanthropy and Fundraising in the Field of Higher Education

2016 ◽  
pp. 1-27
Author(s):  
Roy Y. Chan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Board Of Trustees ◽  
Institutional Advancement ◽  
Harvard College ◽  
Institutional Rule ◽  
American Higher Education ◽  
Development Officers ◽  
Evolution And Development ◽  
The U.S

Colleges and universities are historic institutions in the U.S. that have sprung up since the founding of Harvard College in 1636. Though their evolution and development is quite simple, the involvement of numerous organizations and groups with philanthropy and higher education is quite complex. Utilizing resource dependency theory and institutional theory, this chapter reviews the historical, sociological, and organizational overview of the practices of philanthropy as it relates to American higher education. Two conceptual frameworks are developed and proposed by the author for teacher-scholars and advanced practitioners seeking to conduct formal research on institutional advancement in higher education. The paper argues that the fundraising professionals (e.g., board of trustees, the president, development officers) role on securing major resources and private gifts within the organization and field level is the result of coercion, imitation, and conformity to institutional rule, institutional isomorphism, and normatively based decision making in higher education.

scholarly journals Using Data Envelopment Analysis and Multi-Criteria Decision-Making Methods to Evaluate Teacher Performance in Higher Education

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 563 ◽  
Author(s):  
Milena Popović ◽  
Gordana Savić ◽  
Marija Kuzmanović ◽  
Milan Martić
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Data Envelopment Analysis ◽  
Conjoint Analysis ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Multi Criteria Decision Making ◽  
Weight Restrictions ◽  
Analytic Hierarchy ◽  
Discrimination Power

This paper proposes an approach that combines data envelopment analysis (DEA) with the analytic hierarchy process (AHP) and conjoint analysis, as multi-criteria decision-making methods to evaluate teachers’ performance in higher education. This process of evaluation is complex as it involves consideration of both objective and subjective efficiency assessments. The efficiency evaluation in the presence of multiple different criteria is done by DEA and results heavily depend on their selection, values, and the weights assigned to them. Objective efficiency evaluation is data-driven, while the subjective efficiency relies on values of subjective criteria usually captured throughout the survey. The conjoint analysis helps with the selection and determining the relative importance of such criteria, based on stakeholder preferences, obtained as an evaluation of experimentally designed hypothetical profiles. An efficient experimental design can be either symmetric or asymmetric depending on the structure of criteria covered by the study. Obtained importance might be a guideline for selecting adequate input and output criteria in the DEA model when assessing teachers’ subjective efficiency. Another reason to use conjoint preferences is to set a basis for weight restrictions in DEA and consequently to increase its discrimination power. Finally, the overall teacher’s efficiency is an AHP aggregation of subjective and objective teaching and research efficiency scores. Given the growing competition in the field of education, a higher level of responsibility and commitment is expected, and it is therefore helpful to identify weaknesses so that they can be addressed. Therefore, the evaluation of teachers’ efficiency at the University of Belgrade, Faculty of Organizational Sciences illustrates the usage of the proposed approach. As results, relatively efficient and inefficient teachers were identified, the reasons and aspects of their inefficiency were discovered, and rankings were made.

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