Returns-to-scale properties in DEA models: the fundamental role of interior points

Attempts can be found in the data envelopment analysis (DEA) literature to identify returns to scale at efficient interior points of a face on the basis of returns to scale at points of the corresponding reference sets of the production possibility set. The purpose of this paper is to show that only an interior point of a face can identify returns-to-scale properties of points lying on this face. We consider all possible cases of dispositions of faces from this point of view. Returns-to-scale properties of the corresponding reference units are then established. We also show that to find returns-to-scale at an interior point of a face is a much easier problem than to find all vertices of this face.

[1]  Victor V. Podinovski,et al.  Differential Characteristics of Efficient Frontiers in Data Envelopment Analysis , 2010, Oper. Res..

[2]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[3]  Kazuyuki Sekitani,et al.  An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties , 2009, Eur. J. Oper. Res..

[4]  Finn R. Førsund,et al.  Calculating scale elasticity in DEA models , 2004, J. Oper. Res. Soc..

[5]  Rajiv D. Banker,et al.  Estimation of returns to scale using data envelopment analysis , 1992 .

[6]  A. V. Volodin,et al.  About the structure of boundary points in DEA , 2005, J. Oper. Res. Soc..

[7]  Lawrence M. Seiford,et al.  Recent developments in dea : the mathematical programming approach to frontier analysis , 1990 .

[8]  Kaoru Tone,et al.  A SIMPLE CHARACTERIZATION OF RETURNS TO SCALE IN DEA , 1996 .

[9]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[10]  Finn R. Førsund,et al.  On the calculation of the scale elasticity in DEA models , 1996 .

[11]  Rajiv D. Banker,et al.  Returns to scale in different DEA models , 2004, Eur. J. Oper. Res..

[12]  J. H. Wilkinson The algebraic eigenvalue problem , 1966 .

[13]  Kazuyuki Sekitani,et al.  The measurement of returns to scale under a simultaneous occurrence of multiple solutions in a reference set and a supporting hyperplane , 2007, Eur. J. Oper. Res..

[14]  G. Hanoch,et al.  Homotheticity in joint production , 1970 .

[15]  A. V. Volodin,et al.  Constructions of economic functions and calculations of marginal rates in DEA using parametric optimization methods , 2004, J. Oper. Res. Soc..

[16]  Kaoru Tone,et al.  Data Envelopment Analysis , 1996 .

[17]  John C. Panzar,et al.  Economies of Scale in Multi-Output Production , 1977 .

[18]  D. Starrett,et al.  Measuring Returns to Scale in the Aggregate, and the Scale Effect of Public Goods , 1977 .

[19]  D. Griffel Linear programming 2: Theory and extensions , by G. B. Dantzig and M. N. Thapa. Pp. 408. £50.00. 2003 ISBN 0 387 00834 9 (Springer). , 2004, The Mathematical Gazette.

[20]  William W. Cooper,et al.  Introduction to Data Envelopment Analysis and Its Uses: With Dea-Solver Software and References , 2005 .

[21]  Lennart Hjalmarsson,et al.  Calculation of scale elasticities in DEA models: direct and indirect approaches , 2007 .

[22]  Kazuyuki Sekitani,et al.  Measurement of returns to scale using a non-radial DEA model: A range-adjusted measure approach , 2007, Eur. J. Oper. Res..

[23]  Victor V. Podinovski,et al.  Production , Manufacturing and Logistics A simple derivation of scale elasticity in data envelopment analysis , 2009 .