چکیده:
The purpose of this paper is to develop an output oriented methodology for calculating
productivity growth by using Malmquist productivity index (MPI) and two different data
envelopment analysis (DEA) views (optimistic and pessimistic) simultaneously, and
apply it to five Iranian Commercial Banks over the four time period (2009-2013).
Consequently, we have proposed a new approach called the double frontiers two-stage
DEA or DFTDEA for simultaneous measurement of the MPI from both different DEA
views. Furthermore, this paper has used two-stage DEA with reference to the variable
return to scale technology (VRS) and applied a new viewpoint to measure the overall
efficiency of the process.
خلاصه ماشینی:
"Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth Alireza Alinezhad* Mohammad Javad Nasiri Sadeghloo† Received: 30 Oct 2016 Approved: 10 Dec 2017 The purpose of this paper is to develop an output oriented methodology for calculating productivity growth by using Malmquist productivity index (MPI) and two different data envelopment analysis (DEA) views (optimistic and pessimistic) simultaneously, and apply it to five Iranian Commercial Banks over the four time period (2009-2013).
Proposed Transformation from Fundamental Two-stage Process to a Single Process According to the above and considering the Figure 1, we define the overall efficiency of DMUj such that the intermediate measures zdj (d=1,…,D) serve as inputs of DMUp. Thereupon, the proposed optimistic output oriented two- stage DEA model under VRS assumption can be constructed as bellow: Min C∑m vi xip + ∑D w z + w)/ ∑s u y (View the image of this page) Accordingly, the proposed pessimistic model can be constructed as follows: Max C∑m vi xip + ∑D w z + w)/ ∑s u y (View the image of this page)In addition to the above relational efficiency in two different views (optimistic and pessimistic), we can apply it for evaluating the performance changes for DMUs between two periods for multi-period problems."