The Generalized Returns to Scale for Multiplicative Models in Data Envelopment Analysis

Generalized Returns To Scale has been introduced to compute the rate of variation in outputs to the variation in inputs up to the Most Productive Scale Size pattern. In this paper, we  address the generalized RTS in the multiplicative models and we propose an algorithm to calculate the rate of variations in different intervals. We also demonstrate that the non-discretionary factors can be easily taken into account in the algorithm.

Keywords:

تحلیل پوششی داده ها , بازده به مقیاس تعمیم یافته , الگوی بیشترین اندازه بهره وری , مدلهای ضربی