Volume 17, Issue 1 (3-2020)                   jor 2020, 17(1): 119-137 | Back to browse issues page

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Payan A, Rahmani Perchikolaei B. Expansionary-contradictory Policies in Stock Companies Using Left and Right Returns to Scales in Data Envelopment Analysis Models. jor 2020; 17 (1) :119-137
URL: http://jamlu.liau.ac.ir/article-1-1750-en.html
Expansionary-contradictory Policies in Stock Companies Using Left and Right Returns to Scales in Data Envelopment Analysis Models
A. Payan * , B. Rahmani Perchikolaei
Assistant Professor, Department of Mathematics, Zahedan Branch, Islamic Azad University, Zahedan, Iran
Abstract:   (2723 Views)
The purpose of this paper is to evaluate the returns to scale of the Tehran Stock Exchange based on new models in data envelopment analysis. Using this assessment, it is possible to judge the application of contradictory or expansion policies in stock companies. To this end, there is a need for models in the data envelopment analysis that can assess the left and right returns to scales of the decision making units. In this paper, two linear programming models were presented for assessing performance and left and right returns to scales in data envelopment analysis. The main advantage of the method is the linearity of both models, while the previous models were infeasible, non-linear or parametric to determine left and right returns to scales. Also, analysis the left returns to scale can be done by solving a linear programming problem (LP), and right returns to scale can be analyzed with another LP. The results of determining left and right returns to scales of Tehran Stock Exchange companies in 1395 show that the models are easily applicable to analyze the contraction and expansion policies in stock companies.
Keywords: Performance Analysis, Linear Programming, Returns to Scale, Tehran Stock Exchange Companies.
Full-Text [PDF 1210 kb]   (864 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/09/19 | Accepted: 2019/10/26 | Published: 2020/03/29
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