Title of article :
Energy Resources Consumption Performance in Iranian Manufacturing Industries Using Cost/Revenue Efficiency Model
Author/Authors :
Jahangoshai Rezaee, M. Faculty of Industrial Engineering - Urmia University of Technology, Urmia , Ghanbarpour, T. Faculty of Industrial Engineering - Urmia University of Technology, Urmia
Abstract :
Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources
consumption including water, electricity, and fossil fuel are very different among industries. On the
other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because
of it, the government wants to know which of manufacturing industries are efficient, produce less
environmental pollutions, and hence, must be supported. Besides, manufacturing industries are
classified into various groups. In this paper, the conventional data envelopment analysis (DEA) model
has been extended to multi-group state for evaluating manufacturing systems. The main feature of the
proposed model is that it takes into consideration inputs/outputs prices (cost/revenue). In the other
words, we propose a linear multi-group cost/revenue efficiency model. The data of 59 Iranian
manufacturing industries are grouped under 23 classes to demonstrate the model. The inputs are energy
resources such as the amount of fossil fuel, water and electricity consumption as well as a non-energy
resources such as the number of employees. The results show that the efficiency scores and energy
consumption performance are greatly changed when each industry is evaluated in its own group.
Keywords :
Energy Resources Consumption , Data Envelopment Analysis , Environmental Pollution , Cost/Revenue Efficiency , Manufacturing Industries , Multi-group Model Multi-group Model
Journal title :
Astroparticle Physics