Quarterly Publication

Document Type : Original Article

Authors

1 Accounting Department, Tehran Faculty of Petroleum, Petroleum University of Technology

2 Department of Accounting and Finance, Tehran Faculty of Petroleum, Petroleum University of Technology,Tehran, Iran.

Abstract

The purpose of this study is to evaluate the financial performance of provincial gas distribution companies as affiliates for National Iranian Gas Company. To this end, we identified financial performance indicators in accordance with the requirements of NIGC through a review of theoretical foundations and interviews with a number of financial and planning experts and then prioritized using the Analytical Hierarchy Process method. These indicators lied in four groups of liquidity, capital structure, profitability and activity criteria, respectively. Then, the weighted indicators were analyzed using TOPSIS technique in Expert-Choice software and the final ranking of the companies was provided. The results showed that based on the identified criteria, provincial gas companies of Hormozgan, Yazd, Markazi, and Kermanshah had a favorable financial performance and Ilam, Mazandaran, Chaharmahal and Bakhtiari and Zanjan provincial gas companies had a weak financial performance with respect to other companies in three years under review and some suggestions have been made in this regard.

Keywords

Main Subjects

Andrea, R., 2002. Financial performance analysis and bankruptcy prediction in Hungarian dairy sector.  The annals of the University of Oradea, p.936.
Asadi, K. and Kiani Nejad, A., 2013.Reviewing financial performance criteria in Tehran stock exchange companies. Journal of accounting knowledge and research, 39, pp. 43-61.
Bayrakdaroglu, A. and Yalcin, N., 2012. Strategic financial performance evaluation of the Turkish companies traded on ISE. Ege academic review, 12 (4), pp.529-539.
Beikkhakhian, Y., Javanmardi, M., Karbasian, M., and Khayambashi, B., 2015. The application of ISM model in evaluating agile supplier's selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods. Expert Systems with Applications, 12, pp.6224-6236.
Bowlin, W.F., 1999. An analysis of the financial performance of defense business segments using data envelopment analysis. Journal of Accounting and Public Policy, 18(4-5), pp.287-310.
Broad, M.J. and Javadi, S.M., 2009. Modelling a successful performance measurement system. In first conference on Executive MBA.
Browne, S., Dongarra, J., Garner, N., Ho, G. and Mucci, P., 2000. A portable programming interface for performance evaluation on modern processors. The international journal of high performance computing applications, 14(3), pp.189-204.
ChengWu, Y., Kiong Ting, I., Luc, W., Nourani, M. and Long Kwehe, Q., 2016. The impact of earnings management on the performance of ASEAN banks. Journal homepage: www.elsevier.com/locate/ecmod, Economic Modelling, 53, pp.156–165.
Cheng, C.H., Chen, C.T. and Huang, S.F., 2012. Combining fuzzy integral with order weight average (OWA) method for evaluating financial performance in the semiconductor industry. African journal of business management, 6(21), p.6358.
Cravens, K., S., Oliver, E., G., Stewart, J., S., 2010.Can a positive approach to performance evaluation accomplish your goals.  Kelley School of Business, 53, pp. 269-279.
Delen ,D., Kuzey,C. and Uyar,A., 2013. Measuring firm performance using financial ratios: A decision tree approach. Expert systems with applications ,40, pp. 3970–3983.
Feroz E.H. , Kim S., Raab R.L.,2003. Financial statement analysis: A data envelopment analysis approach. Journal of the operational research society, 54, pp. 48-58.
Goly Ayask, M., and Dehdar, F., 2015. Evaluation of the financial performance of urban water and wastewater industry based on BSC model. Water and wastewater, pp. 31-41.
Halkos, G. E., Salamouris D.,2004.Efficiency measurement of the Greek commercial banks with the use of financial ratios: a data envelopment analysis approach. Management accounting research, 15, pp. 201-224.
Iran Energy Exchange. 2013. Energy consumption report. Research and development and risk studies department.
Kennerley, M. and Neely, A., 2002. Performance measurement frameworks: a review. Business performance measurement: Theory and practice, pp.145-155.
Keung Tam F.,2000. A study of the relative stock market pricing efficiency in several industries, using data envelopment analysis. Masters of applied science dissertation, The University of Toronto, pp12-154.
Khajavi, S., Fatahi Nafchi, H. and Ghadirian Arani, M., 2018. Ranking and evaluation of financial performance of selected industries of Tehran stock exchange using fuzzy combined model - AHP-Vicon; case study: company's pharmaceutical industry, basic metals and automotive and parts, Audit knowledge, 15(60), pp. 25-46.
Latham, G. P., Locke, E. A., and Fassina, N. E. 2002. The high performance cycle: standing the test of time. Psychological management of individual performance, pp.201-228.
Lee, P.T.W., Lin, C.W. and Shin, S.H., 2012. A comparative study on financial positions of shipping companies in Taiwan and Korea using entropy and grey relation analysis. Expert systems with applications, 39(5), pp.5649-5657.
Mohammadi A., 2007. Application of mathematical planning technique for analyzing the financial statements of pharmaceutical companies. Special articles database of noor,50, pp. 117-136.
Opricovic, S. and Tzeng, G.H., 2004. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. “European journal of operational research“, 156(2), pp.445-455.
Panahian, H., 2003. Application of economic value added in financial decision making. Capital magazine, 3(3), pp12-18.
Ross, S.A., Westerfield, R. and Jaffe, J.F., 2014. Corporate finance. Homewood: Irwin.
Safaei Ghadikalaei, A. and Khalili, S., 2014. Evaluation of financial performance of companies active in Tehran stock exchange by applying multi-criteria decision-making techniques. Journal of management executive, 7(14), pp. 54-71.
Taghizadeh R. and Fazli, S., 2011. Corporate performance measurement method using combined analysis of gray relationships and fuzzy TOPSIS. Industrial management outlook,2, pp. 150-125.
Talebzadeh, S., 2011. Using grey principal component analysis approach in evaluating the financial performance of the factually of economics. Management and social sciences, pp.55-68.
Worthington A., 1998. The application of mathematical programming techniques to financial statement analysis: “Australian gold production and exploration. Australian journal of management, 23(1), pp. 97-113.