Politická ekonomie
Politická ekonomie
Prague Economic Papers
University of Economics, Prague

Prague Economic Papers Vol. 19 No. 2

Bank Efficiency and Non-Performing Loans: Evidence from Malaysia and Singapore

DOI: https://doi.org/10.18267/j.pep.367

[full text (PDF)]

Mohd Zaini Abd Karim, Sok-Gee Chan, Sallahudin Hassan

The objective of this paper is to investigate the relationship between non-performing loans and bank efficiency in Malaysia and Singapore. To achieve the objective, cost efficiency was estimated using the stochastic cost frontier approach assuming normal-gamma efficiency distribution model proposed by Greene (1990). The cost efficiency scores were then used in the second stage Tobit simultaneous equation regression to determine the effect of non-performing loans on bank efficiency. The results indicate that there is no significant difference in cost efficiency between banks in Singapore and Malaysia although banks in Singapore exhibit a higher average cost efficiency score. The Tobit simultaneous equation regression results clearly indicate that higher non-performing loan reduces cost efficiency. Likewise, lower cost efficiency increases non-performing loans. The result also support the hypothesis of bad management proposed by Berger and DeYoung (1992) that poor management in the banking institutions results in bad quality loans, and therefore, escalates the level of non-performing loans.

Keywords: bank efficiency, problem loans, stochastic cost frontier, tobit regression

JEL Classification: G21


Aigner, D., Lovell, C., Schmidt, P. (1977). “Formulation and Estimation of Stochastic Frontier

Production Function Models.” Journal of Econometrics, 6, pp. 21-37.

Allen, L., Rai, A. (1996), “Operational Effi ciency in Banking: An international Comparison.” Journal of

Banking and Finance, Vol. 20, pp. 655-672.

Altunbas, Y., Liu, M. H., Molyneux, P., Seth, R. (2000). “Effi ciency and Risk in Japanese Banking.”

Journal of Banking and Finance, Vol. 24, pp.1605-1628.

Bank Negara Malaysia (BNM), Monthly Statistical Bulletin, various issues.

Battese, G. E., Corra, G. S. (1977). “Estimation of a Production Frontier Model: With Application to

the Pastoral Zone of Eastern Australia.” Australian Journal of Agricultural Economics, Vol. 21,

pp. 169-179.

Berger, A. N., DeYoung, R. (1997). “Problem Loans and Cost Effi ciency in Commercial Banks.”

Journal of Banking and Finance, Vol. 21, pp. 849-870.

Berger, A. N., Humphrey, D. B. (1992), “Measurement and Effi ciency Issues Commercial Banking,” in

Griliches, Z., ed., “Output Measurement in the Services Sectors.” National Bureau of Economic

Research Studies in Income and Wealth, pp. 245-279, Chicago: University of Chicago Press.

Berndt, E. R. and L. R. Christensen (1973), “The Translog Function and the Substitution of Equipment,

Structures, and Labor in U.S. Manufacturing, 1929-1968.” Journal of Econometrics, 1(1),

pp. 81-113.

Bhattacharya, A., Lovell, C. A. K., Sahay, P. (1997), “The Impact of Liberalization on the Productive

Effi ciency of Indian Commercial Banks.” European Journal of Operational Research, 98,

pp. 332-345.

Chaffai, M. (1997), “Estimating Input-Specifi c Technical Ineffi ciency: The Case of the Tunisian Banking

Industry.” European Journal of Operational Research, 98, pp. 314-331.

Christensen, L. R., Jorgensen, D. W., Lau, L. J. (1973), Transcendental Logarithmic Production

Frontiers, The Review of Economics and Statistics, 55(1), pp. 28-45.

DeYoung, R. (1997), “X-Effi ciency and Management Quality in National Banks.” Journal of Financial

Services Research, Vol. 15, No. 2.

Fan, L., Shaffer, S. (2004). “Effi ciency versus Risk in Large Domestic US Banks.” Managerial Finance,

Vol. 30, pp. 1-19.

Farrell, M. J. (1957). “The Measurement of Productive Effi ciency.” Journal of the Royal Statistical

Society. Series a (General), 120, pp. 253-290.

Girardone, C., Molyneux, P., Gardener, E. P. (2004). “Analysing the Determinants of Bank Effi ciency:

The Case of Italian Banks.” Applied Economics, 36, pp. 215-227.

Greene, W. (1980), “Maximum Likelihood Estimation of Econometric Frontier Functions.” Journal of

Econometrics, 13, pp. 27-56.

Greene, W. H. (1990). “A Gamma-distributed Stochastic Frontier Model.” Journal of Econometrics, 46,

pp. 141-163.

Hughes, J. P., Mester, L. J. (1993). “A Quality and Risk-adjusted Cost Function for Banks: Evidence on

the ‘Too-Big-to-Fail’ Doctrine.” Journal of Productivity Analysis, 4, pp. 293-315.

Humphrey, D. B. (1985), “Costs and Scale Economies in Bank Intermediation,” in Aspinwall, R. C.,

Eisenbeis, R., eds., Handbook of Banking Strategy. New York: Wiley, pp. 745-783.

Hymer, S. (1976). The International Operations of National Firms: a Study of Direct Foreign Investment.

Cambridge, Massachusetts: MIT Press.

Karim, M. Z. A. (2001), “Comparative Bank Effi ciency Across Select ASEAN Countries.” ASEAN

Economic Bulletin, 18 (3), pp. 289-304.

Kmenta, J. (1967), “On Estimation of the CES Production Function.” International Economic Review,

8, pp. 180-189.

Kwan, S., Eisenbeis, R. (1995) “An Analysis of Ineffi ciencies in Banking.” Journal of Banking and

Finance, 19(3-4), pp. 733-734.

Meeusen, W., van den Broeck, J. (1977), “Effi ciency Estimation from Cobb-Douglas Production

Functions with Composed Error.” International Economic Review, 18, pp. 435-44.

Mester, L. J. (1996). “A Study of Bank Effi ciency Taking into Account Risk-Preferences.” Journal of

Banking and Finance, Vol. 20, pp. 1025-1045.

Mian, A. (2006). “The Limits of Foreign Lending in Poor Countries.” The Journal of Finance, Vol. 61,

pp. 1465-1505.

Monetary Authority of Singapore (2006). Annual Report 2006. Singapore: MAS

Oral, M., Yolalan, R. (1990), “An Empirical Study on Measuring Operating Effi ciency and Profi tability of

Bank Branches.” European Journal of Operational Research, 46, pp. 282-294.

Tsai, D. H., Huang, F. W. (1999), “Management Quality and Bank Effi ciency: Empirical Evidence for

Taiwanese Banks.” Management Review, 18 (3), pp. 35-55.

Wheelock, D. C., Wilson, P. W. (1995), “Explaining Bank Failures: Deposit Insurance, Regulation, and

Effi ciency.” Review of Economics and Statistics, 77, pp. 689-700.