Efficiency Ranking of Iranian Power Plants using super efficiency method: application of Lin Chen and LJK methods

Sakineh Sojoodi (), Lale Dastmalche () and Hadi Neshat ()
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Lale Dastmalche: Master student of economics, University of Tabriz
Hadi Neshat: Master student of economics, University of Tabriz

Quarterly Journal of Applied Theories of Economics, 2020, vol. 7, issue 2, 223-254

Abstract: Nowadays, by increasing development of societies, the demand for various types of energy, including electricity, has increased significantly. Therefore, it seems necessary to pay attention to energy efficiency, especially electricity. Due to the existence of several power plants throughout the country, as well as the high cost of establishing, repairing, maintaining and supplying new power plant components, calculating the efficiency of existing power plants and ranking them and comparing them with each other in terms of efficiency can be a useful step to make the most of the existing production capacity of existing power plants and bring them to the highest possible level of efficiency and productivity. There are a variety of methods for calculating the efficiency and ranking of decision making units (DMUs), one of the most important of them is data envelopment analysis (DEA), especially the super-efficiency method. In this paper, the efficiency of Iran's thermal power plants in 2016 has been ranked using the Line and Chen (2018) super efficiency model and LIK super efficiency model due to their special advantages

Keywords: Data Envelopment Analysis (DEA); Ranking; Super Efficiency; Decision Making Units (DMUs). (search for similar items in EconPapers)
JEL-codes: C61 C67 L70 (search for similar items in EconPapers)
Date: 2020
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