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3 edition of Higher education efficiency measurement using DEA. found in the catalog.

Higher education efficiency measurement using DEA.

Barry Cameron

Higher education efficiency measurement using DEA.

by Barry Cameron

  • 336 Want to read
  • 38 Currently reading

Published by University of Melbourne. Graduate School of Management in Melbourne .
Written in English


Edition Notes

SeriesWorking papers / University of Melbourne. Graduate School of Management -- No.17
ID Numbers
Open LibraryOL20498448M
ISBN 100732500559
OCLC/WorldCa23111225

The main objective of the present research was to measure and compare the technical efficiency of Shiraz school of medicine departments using Data Envelopment Analysis (DEA) technique. Methods This cross-sectional and retrospective study was performed on clinical and non-clinical departments in research and education domains over the period of. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages , December. J Johnes & L Yu,

() use DEA to compare the efficiency of higher education systems. The study examines whether their efficiency is influenced by the extent of the contribution of the state and the private sector or with data envelopment analysis to measure the bootstrapped efficiency of the universities. This is.   This paper provides an extensive overview of the literature on efficiency in education. It summarizes the earlier applied inputs, outputs and contextual variables, as well as the used data sources of papers in the field of efficiency in education. Moreover, it reviews the papers on education that applied methodologies as data envelopment analysis, Malmquist index, Bootstrapping, robust.

Downloadable! This study uses data envelopment analysis (DEA) to examine the relative efficiency of over selected Chinese regular universities. Various models are developed to measure the research efficiency of these higher education institutions (HEIs) using data for and The findings show that the level of efficiency depends on whether or not a subjective measure of research. Data Envelopment Analysis. Data envelopment analysis (DEA) is a mathematical programming methodology that uses the Frontier approach to measure the relative efficiency or performance of decision-making units (DMUs) based on a fractional programming problem that has been converted to a linear programming problem.


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Higher education efficiency measurement using DEA by Barry Cameron Download PDF EPUB FB2

This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector.

The findings, based to data from tosuggest that the ST sector is more Cited by:   Free Online Library: Measuring efficiency in higher education: an empirical study using a bootstrapped data envelopment analysis.(Report) by "International Advances in Economic Research"; Business Business, international Economics Data envelopment analysis Methods Economic efficiency Measurement Education, Higher Economic aspects Higher education Industrial efficiency.

Data envelopment analysis (DEA) is applied to Economics graduates from UK Universities in in order to assess teaching efficiency.

Following a methodology developed by [Education Economics 10(2) () –], each individual’s efficiency is decomposed into two components: one attributable to the university at which the student studied, and the other attributable Cited by:   Johnes ing teaching efficiency in higher education: An application of data envelopment analysis to Economics graduates from UK universities European Journal of Operational Research, (), pp.

Cited by: This paper applies data envelopment analysis (DEA) to assess the efficiency, technical and scale, of both departments and faculties at University of Salerno in the South of Italy. Particular attention has been paid on two main activities, teaching.

Technical and scale efficiency in the English higher education sector appear to be high on average. The Pastor, Ruiz, and Sirvent [ Operations Research, 50(4), –] test for comparing nested DEA models is useful in reducing the full model to a smaller ‘significant’ set of inputs and outputs.

As Goncharuk () found, stochastic frontier analysis (SFA) and data envelopment analysis (DEA) are the most appropriate methods for measuring the efficiency of higher education. However, SFA is. This paper explores the issue of efficiency in English higher education using data envelopment analysis and stochastic frontier analysis to estimate an output distance function (which incorporates.

Johnes, J., Li, Y.U.: Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Econ. Rev. 19 (4), – () CrossRef Google Scholar 6. The rest of this paper is organized as follows.

The overview of Inno-Qual in higher education is discussed in Section 2. Data envelopment analysis is introduced in Section 3. Empirical testing and discussions are conducted and presented in Section 4. Conclusions are in the last section. The overview of Inno-Qual efficiency in higher education.

Johnes J (a) Data envelopment analysis and its application to the measurement of efficiency in higher education. Econ Educ Rev 25(3)– CrossRef Google Scholar Johnes J (b) Measuring efficiency: a comparison of multilevel modelling and data envelopment analysis in the context of higher education.

An Application of Data Envelopment Analysis 10 A Data Envelopment Analysis Model for Risk Ranking of Rigid Subsea Pipes 11 Efficiency and Quality in the Current Higher Education Context in Europe 12 End-of Life Processing via Data Envelopment Analysis The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores.

However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. This paper uses C2R model to evaluate the validity of the efficiency of land use in Harbin, from the point of relative efficiency, Harbin urban land use efficiency is at a higher level.

but exits. Abstract: The primary purpose of this study is to measure the technical efficiency of 30 doctorate-granting universities, the universities or the higher education institutes with PhD training programs, in Vietnam, applying the sensitivity analysis of data envelopment analysis (DEA).The study uses eight sets of input-output specifications using the replacement as well as aggregation.

Higher education plays a significant role in economic growth and social development. However, the uneven development of higher education in China has become an important factor restricting its overall progress.

Traditional data envelopment analysis (DEA) models used by previous studies are deterministic and susceptible to the impacts of measurement errors and the omission of unobserved.

"Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol.

22(1), pagesFebruary. Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis Article in International Advances in Economic Research 22(1).

Selective empirical studies using DEA to evaluate the efficiency of higher education institutions Reference* Country/ Sample of HEIs/ Period of study Inputs Outputs Athanassopoulos and Shale () UK (45 universities) number of undergraduates, postgraduates and academic staff, mean A-level entry score over the last three years.

Measuring teaching and research efficiency in higher education using data envelopment analysis. A case study from the University of Salerno. Article (PDF Available) October with Reads. Data envelopment analysis (DEA) has often been used to evaluate efficiency in the context of higher education institutions.

Yet there are numerous alternative non-parametric measures of efficiency.The series of application of DEA in education started with the article by Charnes et al in Thereafter several studies have applied DEA in measuring the efficiency of schools.

For example Bessent and Bessent (), Bessent et al (,), Ludwin and Guthrie (), and .Keywords: public universities, Saudi Arabia, measuring, efficiency, data envelopment analysis 1. Introduction It is believed that a country's robust higher education system has positive effects not only on its citizens but also on its economic growth and development.

Within the context of globalization, institutions of higher learning are.