Returns to scale is an important topic in economics; however, one can study the rate of variation only in the neighborhood of inputs, because it is a local notion. Zarepisheh and Soleimani-damaneh proposed a method to determine returns to scale in disjoint intervals in their study. For this means, they used the simplex method and parametric analysis in linear programming. They disregard the probability of existing multiple optimal bases; this is a defect of their approach. In this paper, in the same point of view and studying on defect of that approach, we present another method based on supporting hyperplanes of the production possibility set.

Keywords: Data Envelopment Analysis, Returns to Scale, Supporting Hyperplanes, Simplex Method

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