Title of article
The Biennial Malmquist Index in the of Negative Data
Author/Authors
Mohammadi Ghehsareh، Narjes نويسنده MS student in plant breeding, College of plant breeding science, Emam Khomeini International University of Ghazvin, Iran , , Yousefpour، Alireza نويسنده Department of IT & Computer, Islamic Azad University of Qaemshahr branch, Iran ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
11
From page
1
To page
11
Abstract
We purpose the range directional model (RDM), a particular case of the directional distance function, is used for computing efficiency in the presence of negative data. We use RDM efficiency measures to arrive at a Malmquist-type index which can reflect productivity change.
We illustrate how the biennial Malmquist index can be used, not only for comparing the performance of a unit in two time periods, but also for comparing the performance of two different units at the same or different time periods. The proposed approach is then applied to a sample of bank branches where negative data were involved. In this paper, we introduce a biennial Malmquist index of productivity change that can be used with negative data.
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Serial Year
2014
Journal title
The Journal of Mathematics and Computer Science(JMCS)
Record number
1435440
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