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Efficiency in Indonesian Banking: Recent Evidence

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Author Info
Muliaman D. Hadad (Bank Indonesia, Jakarta, Indonesia)
Maximilian J. B. Hall () (Dept of Economics, Loughborough University)
Wimboh Santoso (Bank Indonesia, Jakarta, Indonesia)
Ricky Satria (Bank Indonesia, Jakarta, Indonesia)
Karligash Kenjegalieva () (Dept of Economics, Loughborough University)
Richard Simper () (Dept of Economics, Loughborough University)

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Abstract

In one of the first stand-alone studies covering the whole of the Indonesian banking industry, and utilising a unique dataset provided by the Indonesian central bank, this paper analyses the levels of intermediation-based efficiency obtaining during 2007. Using Tone’s (2001) input-oriented, non-parametric, slacks-based DEA model, and modifying it where necessary to deal with negative inputs and outputs (Sharp et al. 2006), we firstly estimate the relative average efficiencies of Indonesian banks, both overall, and by group, as determined by their total asset size and status. In the second part of the analysis, we adopt Simar and Wilson’s (2007) bootstrapping methodology to eliminate the ‘bias’ in the efficiency estimates and to formally test for the impact of size and status on Indonesian bank efficiency. The results from the initial analysis show that: (i) average bank efficiency within the industry during 2007 lay between 62% – 67%; (ii) the most efficient group of banks was the ‘state-owned’ group with an average efficiency score of over 90%, with the least efficient group being the ‘regional government-owned’ banks with average efficiency scores between 45% and 58%; (iii) ‘listed banks’ performed better, on average, than ‘non-listed banks’; and (iv) ‘Islamic banks’, despite their different operational structure when compared with conventional banks, enjoyed average efficiency scores between 54% and 74%. In the second stage of the analysis, the bias-corrected efficiency scores demonstrate that ‘regional government-owned’, ‘foreign exchange’, ‘non-foreign exchange’, ‘joint-venture’ and ‘foreign’ groupings were significantly less efficient than ‘state-owned’ banks, with the first-mentioned being the most inefficient and the other groupings ranked in ascending order of efficiency, as listed. Moreover, large banks were shown to be more efficient than their smaller counterparts, providing support for Bank Indonesia’s consolidation policies.

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File URL: http://www.lboro.ac.uk/departments/ec/RePEc/lbo/lbowps/Ind_recent.pdf
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Paper provided by Department of Economics, Loughborough University in its series Discussion Paper Series with number 2008_13.

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Date of creation: Nov 2008
Date of revision: Nov 2008
Handle: RePEc:lbo:lbowps:2008_13

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Related research
Keywords: Indonesian Finance and Banking; Efficiency.;

Find related papers by JEL classification:
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages

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  1. Akhigbe, Aigbe & McNulty, James E., 2003. "The profit efficiency of small US commercial banks," Journal of Banking & Finance, Elsevier, vol. 27(2), pages 307-325, February. [Downloadable!] (restricted)
  2. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January. [Downloadable!] (restricted)
  3. Laeven, Luc & Majnoni, Giovanni, 2003. "Loan loss provisioning and economic slowdowns: too much, too late?," Journal of Financial Intermediation, Elsevier, vol. 12(2), pages 178-197, April. [Downloadable!] (restricted)
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  4. Kenjegalieva, Karligash & Simper, Richard & Weyman-Jones, Tom & Zelenyuk, Valentin, 2009. "Comparative analysis of banking production frameworks in eastern european financial markets," European Journal of Operational Research, Elsevier, vol. 198(1), pages 326-340, October. [Downloadable!] (restricted)
  5. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-66, September. [Downloadable!] (restricted)
  6. Cinzia Daraio & Leopold Simar, 2003. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," LEM Papers Series 2003/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
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  7. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February. [Downloadable!] (restricted)
  8. Altunbas, Yener & Liu, Ming-Hau & Molyneux, Philip & Seth, Rama, 2000. "Efficiency and risk in Japanese banking," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1605-1628, October. [Downloadable!] (restricted)
  9. Sato, Yuri, 2005. "Bank restructuring and financial institution reform in Indonesia," The Developing Economies, Institute of Developing Economies, Japan External Trade Organization(JETRO), vol. 43(1), pages 91-120, March. [Downloadable!]
  10. Balaguer-Coll, Maria Teresa & Prior, Diego & Tortosa-Ausina, Emili, 2007. "On the determinants of local government performance: A two-stage nonparametric approach," European Economic Review, Elsevier, vol. 51(2), pages 425-451, February. [Downloadable!] (restricted)
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  11. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May. [Downloadable!] (restricted)
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