Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran

Amir Arjomandi, Abbas Valadkhani and O’Brien, Martin

Research in International Business and Finance, 2014, vol. 30, issue C, 111-125

Abstract: In order to analyse the impact of policy reforms on the performance of the banking sector in Iran we present a decomposition of the Hicks–Moorsteen Total Factor Productivity (TFP). This entails a comparison of both the intermediate and operating performances of different types of banks in the pre- and post-reform eras. Our results show that under the intermediation approach, state-owned banks (public banks) were considerably more efficient than private banks in the post-regulation period. In contrast, under the operating approach, private banks were fully technically efficient and mix efficient in both pre and post-reform eras. This paper highlights the importance of analysing performance from multiple perspectives. The findings reflect public banks’ mission to maximise loans to target groups while private banks are motivated more by financial profit.

Keywords: Banking operations; Malmquist; Hicks–Moorsteen; Data envelopment analysis; Iran (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531913000299
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:30:y:2014:i:c:p:111-125

DOI: 10.1016/j.ribaf.2013.06.003

Access Statistics for this article

Research in International Business and Finance is currently edited by T. Lagoarde Segot

More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().