Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/90734
Authors: 
Krivonozhko, Vladimir E.
Førsund, Finn R.
Lychev, Andrey V.
Year of Publication: 
2012
Series/Report no.: 
Memorandum, Department of Economics, University of Oslo 29/2012
Abstract: 
There are some specific features of the non-radial DEA (data envelopment analysis) models which cause some problems under the returns to scale measurement. In the scientific literature on DEA, some methods were suggested to deal with the returns to scale measurement in the non-radial DEA models. These methods are based on using Strong Complementary Slackness Conditions in the optimization theory. However, our investigation and computational experiments show that such methods increase computational complexity significantly and may generate strange results. In this paper, we propose and substantiate a direct method for the returns to scale measurement in the non-radial DEA models. Our computational experiments documented that the proposed method works reliably and efficiently on the real-life data sets.
Subjects: 
Data envelopment analysis
Returns to scale
Non-radial models
Efficiency
Strong Complementary Slackness Conditions
JEL: 
C44
C61
C67
D24
Document Type: 
Working Paper

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