Volume 16, Issue 4 (12-2019)                   jor 2019, 16(4): 109-131 | Back to browse issues page

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Karami Khorramabadi M, Yarahmadi M, Ghiyasi M. Cost Efficiency Evaluation via Data Envelopment Analysis Approach for Undesirable Outputs based on the Weak Disposability Axiom (Case Study: 56 Electricity Producing Thermal Power Plants in Iran). jor 2019; 16 (4) :109-131
URL: http://jamlu.liau.ac.ir/article-1-1843-en.html
Cost Efficiency Evaluation via Data Envelopment Analysis Approach for Undesirable Outputs based on the Weak Disposability Axiom (Case Study: 56 Electricity Producing Thermal Power Plants in Iran)
M. Karami Khorramabadi , M. Yarahmadi * , M. Ghiyasi
Lorestan University, Department of Mathematics and Computer Science, Khorramabad, Iran
Abstract:   (2799 Views)
Cost efficiency evaluation is a very important and applicable issue in Data Envelopment ‎Analysis (DEA). In this paper, the classical cost efficiency model in which all the input ‎prices are known and fixed for each decision making unit is developed via undesirable ‎outputs with the weak disposability axiom. The proposed model is a nonlinear model ‎under the variable returns to scale condition, which is linearized for the purposes of easy ‎solving. In order to simulate the proposed model and demonstrate its advantages and ‎application capabilities, 56 electricity producing thermal power plants were studied based ‎on data set that is presented in 2015. According to the simulation results based on the ‎present method, the combined cycle and steam power plants had the highest cost ‎efficiencies under the both assumed conditions, i.e., the constant returns to scale and the ‎variable returns to scale. Moreover, the average cost efficiencies of the power plants were ‎‎36% and 54% under the assumed conditions of constant returns to scale and variable ‎returns to scale, respectively.‎
Keywords: Cost efficiency‎, Undesirable Outputs, Weak Disposability Axiom, Data Envelopment Analysis
Full-Text [PDF 1242 kb]   (919 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/03/10 | Accepted: 2019/09/18 | Published: 2019/12/28
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