Measuring Monopoly Power of Manufacturing Industry in Iran: Stochastic Frontier Functions Approach
Subject Areas : Labor and Demographic EconomicsFarhad Khodadad Kashi 1 , Jafar Ebadi 2 , Seyed Ziaoddin Kiaalhoseini 3 , Khalil Heidari 4
1 - استاد دانشگاه پیام نور، تهران
2 - دانشیار اقتصاد دانشگاه تهران
3 - استادیار اقتصاد دانشگاه مفید
4 - دانشجوی دکتری دانشگاه مفید
Keywords: competition, L13, D24, JEL Classification: D22, L6. Keywords: Stochastic Frontier Function, Monopoly Power, Mark-Up, Lerner Index,
Abstract :
Abstract The aim of this paper is introducing a new method to estimation monopoly power and uses it for 136 Iranian manufacturing industries at 4 digits ISIC level during 2005-2013. The method used is stochastic frontier approach. The results indicate that the markup of nearly 98 percent of manufacturing industries is between 10 and 40 percent and they have an uncompetitive behavior. The average industries markup in Iran had a rising trend over time, reducing their average returns to scale. According to the results; there are suggested canceling the exclusive advantages that used to grant to some industries, lowering the tariff for increasing foreign competition with implementation necessary standards in order to production, importing industerial outputs and expanding industerial activities in the form of cooperatives.
منابع
- پژویان، جمشید، خداداد کاشی، فرهاد، شهیکی تاش، محمدنبی (1390). ارزیابی شکاف بین قیمت و هزینه نهایی در صنایع ایران. مجله اقتصاد مقداری، (26):95 – 121.
- خداداد کاشی، فرهاد، شهیکی تاش، محمدنبی و نورانی آزاد، سمانه (1393). قدرت انحصاری در بخش صنعت و ارزیابی تأثیرات آن بر رشد اقتصادی ایران با استفاده از رویکرد مارکآپ درونزا. فصلنامه رشد و توسعه اقتصادی، 5 (19):114-95.
- شهیکی تاش، محمدنبی، نوروزی، علی (1393). محاسبه پارامتریک شاخص لرنر و ارزیابی درجه رقابت و انحصار صنایع ایران. فصلنامهمدلسازیاقتصادی، 8 (3(27)): 89-71.
- مرکز آمار ایران، طرح آمارگیری کارگاههای صنعتی 10 نفر کارکن و بیشتر، سالهای 74- 92.
- Aigner, D. K. & Lovell and Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Function Models. Journal of Econometrics, 6: 21–37.
- Aguirregabiria,V. )2012(. Empirical Industrial Organization: Models, Methods, and Applications. Available:
- Aiginger, K. Brandner, P. and Wüger, M. (1995). Measuring market power for some industrial sectors in Austria. Applied Economics, 27(4): 369-376.
- Bairagi, S. and A. Azzam. (2014). Does the Grameen Bank Exert Market Power over Borrowers. Applied Economics Letters, 21:866-869.
- Belotti, F., Daidone, S., Ilardi, G. and Atella, V. (2012). Stochastic frontier analysis using Stata. CEIS Tor Vergata, Research Paper Series, Vol. 10, Issue 12, No. 251.
- Bresnahan, T. F. (1989). Empirical studies of industries with market power. In R. Schmalensee & R.Willig (Eds.), Handbook of industrial organization, Vol, 2, Amsterdam: Elsevier: 1011-1057.
- Chamberlin, E.H. (1933). The theory of monopolistic competition. Harvard University Press.
- Färe, R., Primont, D. (1995). Multi-output production and duality: Theory and applications. Boston, MA: Kluwer.
- Greene , W. (2005). Fixed and Random effects in stochastic frontier models. Journal of Productivity Analysis, 23: 7-32.
- Germeshausena, R., Pankeb, T. & Wetzelb, H. (2014). Investigating the influence of firm characteristics on the ability to exercise market power - a stochastic frontier analysis approach with an application to the iron ore market. Institute of Energy Economics at the University of Cologne, Working Paper No. 14/17.
- Iwata, G. (1974). Measurement of Conjectural Variations in Oligopoly. Econometrica, 42(5): 947-966.
- Kumbhakar, S. C., Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge: Cambridge University Press.
- Kumbhakar, S.C., S. Baardsen, and G. Lien. (2012). A new method for estimating market power with an application to Norwegian sawmilling. Review of Industrial Organization, 40: 109-129.
- Lerner, A. P. (1934). The concept of monopoly and the measurement of monopoly power. Review of Economic Studies, 1(3): 157-175.
- Lopez, A. Zheng, B. and Azzam, C. (2015). Oligopoly Power in the Food Industries Revisited: A Stochastic Frontier Approach. Association’s 2015 AAEA & WAEA Joint Annual Meetings, San Francisco, California, July: 26-28.
- Orea, L. and Steinbuks, J. (2012). Estimating market power in homogenous product markets using a composed error mode: application to the California electricity market. CWPE Working Paper 1220.
- Perloff, J. M. Karp, L. S. & Golan, A. (2007). Estimating market power and strategies. New York, NY: Cambridge University Press.
- Robinson, J. (1933). The economics of imperfect competition. London: Macmillan.
- Schmalensee, R. (2012). On a level with dentists? Reflections on the evolution of industrial organization. Review of Industrial Organization, 41 (3): 157-179.
- Ullah, A., Ghani, E. and Javed, A. Y. (2013). Market power and industrial performance in Pakistan. PIDE, Working Paper, 88.
- Weiher, J. C. Sickles, R. C. and Perloff, J. M. (2002). Market power in the US airline industry. In D. J. Slottje (Ed.), Measuring Market Power: 309–324.
- Wolfram, C. D. (1999). Measuring market power in the British electricity spot market. American Economic Review, 89(4): 805-826.
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