An investigation of returns to scale in data envelopment analysis

نویسندگان

  • Lawrence M. Seiford
  • Joe Zhu
چکیده

This paper discusses the determination of returns to scale (RTS) in data envelopment analysis (DEA). Three basic RTS methods and their modi®cations are reviewed and the equivalence between these di€erent RTS methods is presented. The e€ect of multiple optimal DEA solutions on the RTS estimation is studied. It is shown that possible alternate optimal solutions only a€ect the estimation of RTS on DMUs which should be classi®ed as constant returns to scale (CRS). Modi®cations to the original RTS methods are developed to avoid the e€ects of multiple optimal DEA solutions on the RTS estimation. The advantages and disadvantages of these alternative RTS methods are presented so that a proper RTS method can be selected within the context of di€erent applications. # 1998 Elsevier Science Ltd. All rights reserved.

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تاریخ انتشار 1998