Russell-graph measure and super efficiency in data envelopment analysis

2013 ◽  
Vol 5 (1) ◽  
pp. 406
Author(s):  
Alireza Amirteimoori ◽  
Sohrab Kordrostami ◽  
Leila Khoshandam
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Graph Measure

scholarly journals A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs

2021 ◽  
Vol 9 (4) ◽  
pp. 378-398
Author(s):  
Chunhua Chen ◽  
Haohua Liu ◽  
Lijun Tang ◽  
Jianwei Ren
Keyword(s):  
Data Envelopment Analysis ◽  
Transportation Systems ◽  
Decision Makers ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Super Efficiency ◽  
Dea Model ◽  
Dea Models ◽  
Analysis Models ◽  
Transport Accidents

Abstract DEA (data envelopment analysis) models can be divided into two groups: Radial DEA and non-radial DEA, and the latter has higher discriminatory power than the former. The range adjusted measure (RAM) is an effective and widely used non-radial DEA approach. However, to the best of our knowledge, there is no literature on the integer-valued super-efficiency RAM-DEA model, especially when undesirable outputs are included. We first propose an integer-valued RAM-DEA model with undesirable outputs and then extend this model to an integer-valued super-efficiency RAM-DEA model with undesirable outputs. Compared with other DEA models, the two novel models have many advantages: 1) They are non-oriented and non-radial DEA models, which enable decision makers to simultaneously and non-proportionally improve inputs and outputs; 2) They can handle integer-valued variables and undesirable outputs, so the results obtained are more reliable; 3) The results can be easily obtained as it is based on linear programming; 4) The integer-valued super-efficiency RAM-DEA model with undesirable outputs can be used to accurately rank efficient DMUs. The proposed models are applied to evaluate the efficiency of China’s regional transportation systems (RTSs) considering the number of transport accidents (an undesirable output). The results help decision makers improve the performance of inefficient RTSs and analyze the strengths of efficient RTSs.

Evaluating the Efficiency of Portfolio-Hedging Strategies by Incorporating Third Degree Stochastic Dominance Criteria and Data Envelopment Analysis

2021 ◽  
pp. 22-46
Author(s):  
Margareta Gardijan Kedžo
Keyword(s):  
Data Envelopment Analysis ◽  
Stochastic Dominance ◽  
Data Envelopment ◽  
Risk Averse ◽  
Super Efficiency ◽  
Risk Hedging ◽  
The Third ◽  
Positive Skewness ◽  
Hedging Strategies ◽  
Efficient Hedging

The chapter investigates chosen hedging strategies with options as useful risk hedging instruments. Assuming that average investor prefers greater return, is risk-averse, and prefers greater positive skewness, the performance of different hedged and unhedged portfolios is evaluated using stochastic dominance (SD) criteria and data envelopment analysis (DEA). The SD is examined up to the third degree (TSD) using Davidson-Duclos (DD) test. In the DEA, a super efficiency BCC model is used. It is investigated how these two methodologies can be combined and how the TSD criteria can be integrated into DEA in order to simplify the analysis of determining efficient hedging strategies with options.

A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach

Omega ◽  
2013 ◽  
Vol 41 (4) ◽  
pp. 731-734 ◽  
Author(s):  
Hsin-Hsiung Fang ◽  
Hsuan-Shih Lee ◽  
Shiuh-Nan Hwang ◽  
Cheng-Chi Chung
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Alternative Approach

Efficiency Comparison in Chinese Construction Industry Based on Data Envelopment Analysis and Super Efficiency Data Envelopment Analysis

2013 ◽  
Vol 275-277 ◽  
pp. 2788-2792
Author(s):  
You Min Gao ◽  
Xiao Wen Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Construction Industry ◽  
Empirical Analysis ◽  
National Economy ◽  
Statistical Data ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Efficiency Comparison ◽  
Efficiency Data

Construction industry is a main industry in national economy, Chinese construction industry has made huge achievement, but the developments between different provinces in China are imbalanced. To compare the different efficiencies between them, data envelopment analysis and an important extended means of DEA were introduced, compared and applied in empirical analysis of Chinese construction industry efficiency between different provinces based on statistical data. Then some conclusions and advices were reached in the end.

A super-efficiency model for ranking efficient units in data envelopment analysis

2007 ◽  
Vol 184 (2) ◽  
pp. 638-648 ◽  
Author(s):  
Shanling Li ◽  
G.R. Jahanshahloo ◽  
M. Khodabakhshi
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Super Efficiency

Benchmarking Economical Efficiency of Renewable Energy Power Plants: A Data Envelopment Analysis Approach

2013 ◽  
Vol 772 ◽  
pp. 699-704 ◽  
Author(s):  
Corrado lo Storto ◽  
Gabriella Ferruzzi
Keyword(s):  
Renewable Energy ◽  
Data Envelopment Analysis ◽  
Power Plants ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Efficiency Measure ◽  
Super Efficiency ◽  
Economical Efficiency ◽  
Energy Plant ◽  
Measure Index

This paper implements Data Envelopment Analysis (DEA) to calculate an efficiency measure index of 21 energy power plants that use different technologies, including both renewable and conventional types. Super-efficiency measurements are used to generate a ranking of plants based on their efficiency score that can be used to select among alternatives. It is also showed how DEA can also be adopted to estimate the amount of financial subsidies necessary to make a renewable energy plant as efficient as a conventional energy plant, by calculating the extent to which inefficient power plants over-utilize specific inputs or under-produce outputs.

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