The Malmquist productivity index or more commonly malmquist Data Envelopment Analysis (DEA) was first incepted by the researcher Malmquist in 1953 as a quantity to be used in the analysis of consumption of inputs (Färe, Grosskopf, & Margaritis, 2011).
DEA module, malmquist deaThis is the continued article of the interpretations for variable returns to scale (VRS) from the last article. However, this article is about the summary of peers and the rest of the analysis conducted for VRS-DEA (Data envelopment analysis).
DEA module, measuring returns to scale with deaVariable returns to scale (VRS) is a type of frontier scale used in data envelopment analysis (DEA). It helps to estimate efficiencies whether an increase or decrease in input or outputs does not result in a proportional change in the outputs or inputs respectively (Cooper, Seiford, & Zhu, 2011).
DEA module, measuring returns to scale with deaThe previous article depicts the analysis and interpretation of the Input oriented multi-staged constant returns to scale (CRS). Output oriented multi-staged Constant returns to scale data envelopment analysis (CRS-DEA) is, however, based on a different principle.
DEA module, measuring returns to scale with deaThe findings for Multi-stage based CRS are analyzed and presented. The interpretations are on the basis of input-oriented multi-staged CRS DEA analysis.
DEA module, measuring returns to scale with deaIn the previous article, “Using Data Envelopment Analysis (DEA) program for measuring efficiency” the process to download Data Envelopment Analysis program (DEAP) was explained and the case problem in hand was defined. The first step is to understand how to import data to DEAP.
DEA module, getting started with DEATo showcase industry expertise I was supposed to develop a model for any particular industry and based on the model the graph was to be prepared. The main motive of developing such model was to show our expertise in the industry and keep up to date with latest trends and changes.
DEA module, industry analysis, manufacturing sector efficiencyData envelopment analysis (DEA) is the most commonly used program for this purpose (Coelli, 2008). Tim Coelli from of University of New England (Centre for Efficiency and Productivity Analysis, Department of Econometrics, Australia) had uploaded the program in DOS based command which is in a zipped format along with guidelines on how to use it.
DEA module, getting started with DEA