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An empirical analysis of Iran's banking performance


  • Amir Arjomandi
  • Charles Harvie
  • Abbas Valadkhani


Purpose - The purpose of this paper is to investigate the efficiency and productivity growth of the Iranian banking industry between 2003 and 2008, encompassing pre- and post-2005-reform years. Design/methodology/approach - The study uses a new decomposition of the Hicks-Moorsteen total factor productivity index developed by O'Donnell to analyse efficiency and productivity changes in a banking context. The advantage of this approach over the popular constant-returns-to-scale Malmquist productivity index is that it is free from any assumptions concerning firms' optimising behaviour, the structure of markets, or returns to scale. The paper assumes that the production technology exhibits variable returns to scale. Findings - The banking industry's technical efficiency level – which had improved between 2003 and 2006 – deteriorated after regulatory changes were introduced in Iran. The results obtained also show that during 2006-2007, the industry's total factor productivity increased by 32 per cent. However, the industry experienced its highest negative scale efficiency rate of 38 per cent (?ROSE=0.62) and its highest negative efficiency growth of 43 per cent (?Eff=0.57) during this period. The industry also witnessed a strong drop in productivity in 2007-2008. Overall, changes in the production possibility set and scale-efficiency changes exerted dominant effects on productivity changes. Originality/value - This study is the first to use a comprehensive decomposition of the Hicks-Moorsteen TFP index to analyse efficiency and productivity changes in a banking context.

Suggested Citation

  • Amir Arjomandi & Charles Harvie & Abbas Valadkhani, 2012. "An empirical analysis of Iran's banking performance," Studies in Economics and Finance, Emerald Group Publishing, vol. 29(4), pages 287-300, September.
  • Handle: RePEc:eme:sefpps:v:29:y:2012:i:4:p:287-300

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    References listed on IDEAS

    1. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    2. Fiordelisi, Franco & Marques-Ibanez, David & Molyneux, Phil, 2011. "Efficiency and risk in European banking," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1315-1326, May.
    3. Igor Jemric & Boris Vujcic, 2002. "Efficiency of Banks in Croatia: A DEA Approach*," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 44(2-3), pages 169-193, September.
    4. Erwin G. Hutapea & Rahmatina A. Kasri, 2010. "Bank margin determination: a comparison between Islamic and conventional banks in Indonesia," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing, vol. 3(1), pages 65-82, April.
    5. Albertazzi, Ugo & Gambacorta, Leonardo, 2010. "Bank profitability and taxation," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2801-2810, November.
    6. Dennis G. Uyemura & Charles C. Kantor & Justin M. Pettit, 1996. "Eva® For Banks: Value Creation, Risk Management, And Profitability Measurement," Journal of Applied Corporate Finance, Morgan Stanley, vol. 9(2), pages 94-109.
    7. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    9. Joel M. Stern & G. Bennett Stewart & Donald H. Chew, 1995. "The Eva® Financial Management System," Journal of Applied Corporate Finance, Morgan Stanley, vol. 8(2), pages 32-46.
    10. Srdjan Marinkovic & Ognjen Radovic, 2010. "On the determinants of interest margin in transition banking: the case of Serbia," Managerial Finance, Emerald Group Publishing, vol. 36(12), pages 1028-1042, October.
    11. Gerald T. Garvey & Todd T. Milbourn, 2000. "EVA versus Earnings: Does it Matter which is More Highly Correlated with Stock Returns?," Claremont Colleges Working Papers 2000-52, Claremont Colleges.
    12. repec:bla:joares:v:38:y:2000:i::p:209-245 is not listed on IDEAS
    13. Fiordelisi, Franco & Molyneux, Phil, 2010. "Total factor productivity and shareholder returns in banking," Omega, Elsevier, vol. 38(5), pages 241-253, October.
    14. Michael R King, 2009. "The cost of equity for global banks: a CAPM perspective from 1990 to 2009," BIS Quarterly Review, Bank for International Settlements, September.
    15. Albertazzi, Ugo & Gambacorta, Leonardo, 2009. "Bank profitability and the business cycle," Journal of Financial Stability, Elsevier, vol. 5(4), pages 393-409, December.
    16. Athanasoglou, Panayiotis & Delis, Manthos & Staikouras, Christos, 2006. "Determinants Of Bank Profitability In The South Eastern European Region," MPRA Paper 10274, University Library of Munich, Germany.
    17. Fadzlan Sufian & Royfaizal Razali Chong, 2008. "Determinants of Bank Profitability in a Developing Economy: Empirical Evidence from the Philipinnes," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 4(2), pages 91-112.
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    Cited by:

    1. Kerstens, Kristiaan & Van de Woestyne, Ignace, 2014. "Comparing Malmquist and Hicks–Moorsteen productivity indices: Exploring the impact of unbalanced vs. balanced panel data," European Journal of Operational Research, Elsevier, vol. 233(3), pages 749-758.
    2. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    3. Thilakaweera, Bolanda Hewa & Harvie, Charles & Arjomandi, Amir, 2016. "Branch expansion and banking efficiency in Sri Lanka’s post‐conflict era," Journal of Asian Economics, Elsevier, vol. 47(C), pages 45-57.
    4. Arjomandi, Amir & Valadkhani, Abbas & O’Brien, Martin, 2014. "Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran," Research in International Business and Finance, Elsevier, vol. 30(C), pages 111-125.


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