Fuzzy efficiency measures in data envelopment analysis using lexicographic multiobjective approach

The research examines the technical efficiency (TE) and economies of scale for the Malaysian Real Estate Investment Trust (M-REITs) from 2010 to 2014, using a non-parametric approach of Data Envelopment Analysis (DEA). The nonparametric approach of Variable Return to Scale DEA (VRS-DEA model) was used to estimate the efficiency scores for M-REITs. The negative inefficient value for the technical inefficiencies is identified as a result of both poor input utilisation (managerial inefficiency) and failure of M-REITs to operate at optimum scale (scale inefficiency). The mean technical efficiency (TE) measures ranged from as low as 41.70% in 2011 to as high as 84.30% in 2014. Despite having the Sharia requirement, Islamic REITs in Malaysia provide an effective investment opportunity evidenced by the higher scores for all efficiency measures, as compared to conventional REITs for the period under study. Pure technical inefficiency has a greater deviation in the efficient frontier than scale inefficiency, suggesting that M-REITs inputs are not fully minimised to produce more outputs. With regard to scale inefficiency, M-REITs are operating at economies of scale, indicating the importance of expansion or growth to improve on efficiency performance. This will then allow M-REIT managers to formulate better strategic investment decisions.

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Demand and Supply of Cut Flowers Production in Krishnagiri District of Tamil Nadu - An Approach by Data Envelopment Analysis

Agricultural Science Digest - A Research Journal ◽

10.18805/ag.d-5333 ◽

2021 ◽

Author(s):

R. Thulasiram ◽

S. Usha Nandhini ◽

S. Amarnath

Keyword(s):

Data Envelopment Analysis ◽

Tamil Nadu ◽

Sampling Method ◽

Total Sample ◽

Data Envelopment ◽

Cut Flowers ◽

Demand And Supply ◽

Horticultural Crops ◽

Efficiency Measures ◽

Wide Range

Background: India has been bestowed with wide range of climate and physio-geographical conditions making it suitable for growing various kinds of horticultural crops. Out of which the awareness on usage of cut flowers for various occasions has raised the demand for cut flowers in the market, especially Tamil Nadu. The overall objective of the study is to estimate the demand and supply of cut flowers in Tamil Nadu. Methods: Hosur block in Krishnagiri district of Tamil Nadu was purposively selected as it is the leader in area and production of rose flowers. A two-stage random sampling method was adopted to select the sample farms with a total sample size of 120. Simple percentage analysis and Data Envelopment Analysis were used to discuss the results. Result: The important period of demand for cut flowers in Hosur block are events like Navratri, Christmas, New Year, Valentine Day, Therthiruvizha, Ramjan and Bakrith. There were 164 days in a year which would be auspicious. On an average 450 bunches of rose, 320 bunches of gerberas and 150 bunches of carnations are used in an event in addition to some other flowers. The technical efficiency measures for Roses indicated that most farmers belonged to the least efficient category ( less than 90 per cent) with a proportion of 62.50 per cent to total.

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A comparative approach of stochastic frontier analysis and data envelopment analysis estimators: evidence from banking system

Journal of Economic Studies ◽

10.1108/jes-01-2019-0051 ◽

2020 ◽

Vol 47 (7) ◽

pp. 1787-1810

Author(s):

Kekoura Sakouvogui

Keyword(s):

Data Envelopment Analysis ◽

Cost Efficiency ◽

Stochastic Frontier Analysis ◽

Stochastic Frontier ◽

Data Envelopment ◽

Content Type ◽

Frontier Analysis ◽

Efficiency Measures ◽

Clustering Approach ◽

Over Time

PurposeThe consistency of stochastic frontier analysis (SFA) and data envelopment analysis (DEA) cost efficiency measures using a sample of 650 commercial and domestic banks in the United States is investigated based on cluster analysis while accounting for the yearly variation in banks.Design/methodology/approachDue to the importance of efficiency measures for policy and managerial decision-making, the cost efficiency measures of SFA and DEA estimators are examined according to four criteria: levels, rankings, stability over time and stability over clustering groups. In this paper, we present two clustering methods, Gap Statistic and Dindex, that involve SFA and DEA cost efficiency measures. The clustering approach creates homogeneous groups of banks offering a similar mix of efficiency levels. Hence, each evaluated bank knows the cluster to which it belongs. Furthermore, this paper provides nonparametric statistical tests of SFA and DEA cost efficiency measures estimated with and without a clustering approach.FindingsThe results suggest that the clustering approach plays a considerable role in the rankings of US banks. Furthermore, the average SFA and DEA cost efficiency measures over time of the homogeneous US banks are substantially higher than those of the heterogeneous US banks.Originality/valueThis research is the first to provide comparative efficiency measures needed for desirable policy conclusions of heterogeneous and homogeneous US banks.

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Russell Graph efficiency measures in Data Envelopment Analysis: The multiplicative approach

European Journal of Operational Research ◽

10.1016/j.ejor.2020.11.001 ◽

2020 ◽

Author(s):

Javier Alcaraz ◽

Laura Anton-Sanchez ◽

Juan Aparicio ◽

Juan F. Monge ◽

Nuria Ramón

Keyword(s):

Data Envelopment Analysis ◽

Data Envelopment ◽

Efficiency Measures

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Performance Efficiency in NCAA Basketball

Journal of Sports Economics ◽

10.1177/1527002517731873 ◽

2017 ◽

Vol 20 (2) ◽

pp. 218-241

Author(s):

J. Brandon Bolen ◽

Jon Rezek ◽

Joshua D. Pitts

Keyword(s):

Data Envelopment Analysis ◽

Technical Efficiency ◽

Academic Ability ◽

Academically Successful ◽

Data Envelopment ◽

Athletic Departments ◽

College Basketball ◽

Efficiency Measures

This study employs data envelopment analysis to examine the efficiency of men’s college basketball programs in producing competitive and academically successful teams. Employing inputs measuring team talent, academic ability and experience as well as a program’s basketball-specific expenditures and measures of coaching ability and experience, two efficiency measures are estimated, which rank teams according to their technical efficiency in producing each of the outputs desired by athletic departments and universities. These measures of efficiency are useful in allowing administrators to determine how their basketball programs compare to other programs across the country using a more holistic measure of success.

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Cost Efficiency Measures with Trapezoidal Fuzzy Numbers in Data Envelopment Analysis Based on Ranking Functions

International Journal of Fuzzy System Applications ◽

10.4018/ijfsa.2012070104 ◽

2012 ◽

Vol 2 (3) ◽

pp. 51-68 ◽

Cited By ~ 9

Author(s):

Ali Ebrahimnejad

Keyword(s):

Data Envelopment Analysis ◽

Cost Efficiency ◽

Fuzzy Numbers ◽

Fuzzy Linear Programming ◽

Data Envelopment ◽

Ranking Functions ◽

Trapezoidal Fuzzy Numbers ◽

Efficiency Measures ◽

Linear Programming Problems ◽

Input Prices

Cost efficiency (CE) evaluates the ability to produce current outputs at minimal cost, given its input prices. In ordinary CE model, the input prices are assumed to be definite. In recent years, various attempts have been made to measuring CE when the input prices are as trapezoidal fuzzy numbers. The main contribution of this paper is to provide a new approach for generalizing the CE of decision making units in data envelopment analysis when the input prices are trapezoidal fuzzy numbers, where concepts of fuzzy linear programming problems and CE, are directly used. Here, the author used the linear ranking functions to compare fuzzy numbers. The proposed method is illustrated with two application examples and proves to be persuasive and acceptable in real world systems.

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