Data Envelopment Analysis:the mathematical programming approach to efficiency analysis

By E. Thanassoulis, M. Portela, Ozren Despic. 2008

437 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/6764c7840c1e2da1cdab17eaecf649157175cebc

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Citations in the corpus

Assessing the effects of managerial and production practices on the efficiency of commercial pig farming (2006, neutral): “Radial measures of TE include the two-stage DEA model (Ali and Seiford, 1993) and the multi-stage DEA (Coelli, 1998), while nonradial measures include the additive model (Charnes et al., 1985) and the Färe and Lovell (1978) model.”
Risk Management and Managerial Efficiency in Chinese Banks: A Network DEA Framework (2011, neutral): “[18], the bad output is treated as an input in the final stage of production.”
A new two-stage Stackelberg fuzzy data envelopment analysis model (2014, methodology): “Two fundamental input–output systems are used to calculate the bank efficiencies [30]: the production approach [22,27,54] and the intermediation approach [8,9,26,31,32,48,60,61].”
Families of linear efficiency programs based on Debreu’s loss function (2012, methodology): “The CRS weighted additive program of Ali and Seiford (1993), the (standard) additive program of Charnes et al. (1985), which takes all weights equal to 1, the enhanced additive program of Charnes et al. (1987), also called MIP (Measure of Inefficiency Proportions) by Cooper et al. (1999),(9)”
On how to properly calculate the Euclidean distance-based measure in DEA (2014, methodology): “Using the additive model(3) under constant returns to scale (see Ali and Seiford [1]), we detect that DMUs A, B and C are Pareto–Koopmans efficient (their optimal values are zero), while the last unit, DMU D, is technically inefficient with an optimal value equalling 6 (sþ 1 1⁄4 6, s 1 1⁄4 sþ 2 1⁄4 ”
Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence (2009, background): “(1989), Seiford and Thrall (1990), Lovell (1993), Ali and Seiford (1993), Charnes et al.”
Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture ☆ (2015, neutral): “One of common challenges in applications of data envelopment analysis (DEA) is the low discriminating power of the models used – this is the ability of the DEA models to differentiate between good and bad performing decision making units (DMUs) by reflecting their performance in a sufficiently wide ”