A Slack-Based Model for Estimating Returns to Scale under Weight Restrictions

نویسنده

  • M. R. Moazami Goudarzi
چکیده

Our aim in this work is to determine returns to scale (RTS) under weights restrictions in data envelopment analysis (DEA). At first, we review Tone,s method (2001) proposed in this field, then by using a slack-based model, we introduce a new method that enables us to reach our aim. The advantage of the method proposed in this article over Tone,s method is that for determining returns to scale, we solve one model instead two models, and the results obtained are the same as those by Tone,s method. This is supported by an empirical example.

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تاریخ انتشار 2011