Titlebook: Data Envelopment Analysis with GAMS; A Handbook on Produc Ali Emrouznejad,Konstantinos Petridis,Vincent Char Textbook 2023 The Editor(s) (i

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Non-radial DEA Models,SBM) (Tone, 2001a). In this chapter, non-radial models will be presented with the use of the GAMS formulation. Also, directional and non-radial measures will be presented, as well as ways to handle negative data.

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Allocative, Cost, Technical, Revenue, and Profit Efficiency,tive efficiency (as proposed by Färe et al., 1985) can be estimated. Lastly, when both input and output prices are available, profit efficiency or profit allocative efficiency (as proposed by Chambers et al., 1998) can be estimated.

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0884-8289 , the reader is introduced to GAMS programming, as well as innovative and practical applications. GAMS codes are available for free, allowing readers to test and expand the models to meet their specific needs..978-3-031-30703-4978-3-031-30701-0Series ISSN 0884-8289 Series E-ISSN 2214-7934

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Introduction to GAMS,acilitates the process of going from a mathematical statement of the problem to its solution. The main use of GAMS is for optimisation. One of the features that makes the GAMS software easy to use and popular in academic and commercial settings is that the user can provide the mathematical model whi

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Introduction to Data Envelopment Analysis,chnique, which assesses the comparative performance of a set of units based on inputs and outputs, measuring the efficiency of the transformation procedure. The inputs are consumed in order to produce outputs; thus, the fraction of outputs produced to inputs consumed is the efficiency of the transfo

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Extensions of DEA Models,. In this chapter, extensions of DEA models will be presented, demonstrating recent developments in DEA formulations. The models that will be analytically described and modelled with GAMS in this chapter concern DEA models with exogenously fixed variables and categorical variables, DEA models for ha

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Allocative, Cost, Technical, Revenue, and Profit Efficiency,1985) can be estimated. Alternatively, when output prices are available, revenue efficiency, also known as output overall efficiency, or output allocative efficiency (as proposed by Färe et al., 1985) can be estimated. Lastly, when both input and output prices are available, profit efficiency or pro

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Productivity Change,DEA formulations ignore the temporal dimension of data, new DEA formulations and relevant indices have been proposed. Among them, the most important is the Malmquist Productivity Index or MPI. This index calculates the productivity change of the DMUs between two consecutive years . and . + 1. Becaus