Cost Efficiency Assessment of Electricity Distribution Companies in Western Iran (Stochastic Frontier Analysis Approach)

Document Type : applicative

Authors

1 Associate Professor, Department of Economics, Razi University, Kermanshah, Iran.

2 PhD student in Economics, Razi University, Kermanshah, Iran,

10.30473/jier.2025.74468.1495

Abstract

This study examines the cost function and cost efficiency of electricity distribution companies in Kermanshah Province within the framework of Stochastic Frontier Analysis (SFA) using the maximum likelihood method. The central objective of this research is to measure the cost inefficiency coefficient. For this purpose, panel data from 19 electricity distribution companies in Kermanshah Province from 2017 to 2021 were used.  The findings indicate that the Harsin Electricity Distribution Company, with a cost efficiency of 63%, ranked first among the 19 companies, while the Eslamabad-e Gharb Electricity Distribution Company ranked last. The low cost efficiency of the latter suggests a significant deviation from the efficient frontier. Additionally, the result of cost efficiency estimation reveal that the overall cost efficiency of the electricity distribution industry in Kermanshah Province is relatively low. The general performance and ranking of the companies have remained relatively stable, indicating no significant improvement in cost efficiency or performance among the 19 electricity distribution companies during the study period.

Keywords

Main Subjects


 [10] Battese G.E. and Coelli T.J. (1992). “Frontier Production Functions, Technical Efficiency and Panel Data: With Application to paddy farmers in India”. Journal of Productivity Analysis, 3(1-2), pp.153–169.
[11] Battese G.E. and T.J. Coelli (1995). “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data”.Empirical Economics, (2)20, pp. 332-325.
[12] Coelli T.J. and S. Perelman (1996), “Efficiency Measurement, Multiple-Output Technologies and Distance Functions: With Application to European Railways”. CREPP Discussion Paper 96/05, University of Liege.
[13] Coelli T.J., Rao D.S.P., O'Donnell C.J. and Battese G.E. (2005), An Introduction to Efficiency and Productivity Analysis, Second Edition, Springer.
[14] Emvalomatis G., Stefanou S.E. and Oude Lansink A. (2011), “A Reduced-Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and the Netherlands”. American Journal of Agricultural Economics,93(1), pp. 161-74.
[15] Cost efficiency and electricity market structure: A case study of OECD countries, Victor Ajayi, Thomas Weyman-Jones, Anthony Glass, Energy Economics, Volume 65, June 2017, Pages 283-291.
[16] Electricity sector reforms and cost efficiency: The case of small electricity systems in Sub-Sahara Africa, Adwoa Asantewaa, Tooraj Jamasb , Manuel Llorca, Economic Analysis and Policy Volume 80, December 2023, Pages 880-893.
[17]  Andor, Mark Andreas; Bernstein, David H.; Sommer, Stephan , (2020) :Determining the efficiency of residential electricity consumption, Ruhr Economic Papers, No. 870