Articlebronze1996

A SIMPLE CHARACTERIZATION OF RETURNS TO SCALE IN DEA

65 citations0/0 files storedJournal of the Operations Research Society of Japan

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Efficiency Analysis Using DEA Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

In this paper, we will present a simple method for deciding the local returns-to-scale characteristics of DMUs (Decision Making Units) in Data Envelopment Analysis. This method proceeds as follows: first, we solve the BCC (Banker-Charnes-Cooper) model and find the returns-to-scale of BCC-efficient DMUs and a reference set to each BCC-inefficient DMU. We can then decide the local returns-to-scale characteristics of each BCC-inefficient DMU by observing only the returns-to-scale characteristics of DMUs in their respective reference sets. No extra computation is required. We can apply this method to the output-oriented model and to the additive model as well.

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References

1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 1985The Measurement of Efficiency of Production 1984Estimating most productive scale size using data envelopment analysis 1992Estimation of returns to scale using data envelopment analysis 1996Equivalence and implementation of alternative methods for determining returns to scale in data envelopment analysis 1996A note on returns to scale in DEA

Cited by

2005On the estimation of returns-to-scale in FDH models 2004Are all Scales Optimal in DEA? Theory and Empirical Evidence 2007The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane 2002Scale characterizations in a DEA directional technology distance function framework 1999DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial development

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