Accounting for environmental factors, bias and negative numbers in efficiency estimation: A bootstrapping application to the Hong Kong banking sector
This paper examines the evolution of Hong Kong’s banking industry’s technical efficiency, and its macroeconomic determinants, during the period 2000-2006 through the prism of two alternative approaches to efficiency estimation, namely the intermediation and production approaches. Using a modified (Sharp, Meng and Liu, 2006) slacks-based model (Tone, 2001), and purging the efficiency estimates for random errors (Simar and Zelenyuk, 2007) , we firstly analyse the trends in bank efficiency. We then identify the ‘environmental’ factors that significantly affect the efficiency scores using an adaptation (Kenjegalieva et al. 2009) of the truncated regression approach suggested by Simar and Wilson. 2007). The first part of the analysis reveals that the Hong Kong banking industry suffered a severe downturn in estimated technical efficiency during 2001. It subsequently recovered, posting average efficiency scores of 92 per cent and 85 percent under the intermediation and production approaches respectively by the end of 2006. As for the sub-group analysis, commercial banks are, on average, shown to be the most efficient operators, while the investment bank group are shown to be the least efficient. Finally, with respect to the truncated regression analysis, the results suggest that smaller banks are more efficient than their larger counterparts, although larger banks are still able to enjoy gains from scale economies and benefit from the export of financial services. Moreover, private housing rent and the net export of goods and services are found to be negatively correlated with bank efficiency, while private consumption is shown to be positively correlated.
|Date of creation:||Feb 2010|
|Date of revision:||Feb 2010|
|Contact details of provider:|| Postal: |
Phone: +44 (0) 1509 222701
Fax: +44 (0) 1509 223910
Web page: http://www.lboro.ac.uk/departments/sbe/research/economics/index.html
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Luc Laeven & Giovanni Majnoni, 2002. "Loan loss provisioning and economic slowdowns: too much too late?," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
- Laeven, Luc & Majnoni, Giovanni, 2001. "Loan loss provisioning and economic slowdowns : too much, too late?," Policy Research Working Paper Series 2749, The World Bank.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Fare, Rolf & Zelenyuk, Valentin, 2003. "On aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 146(3), pages 615-620, May.
- Leslie E. Papke & Jeffrey M. Wooldridge, 1993.
"Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates,"
NBER Technical Working Papers
0147, National Bureau of Economic Research, Inc.
- Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-32, Nov.-Dec..
- Delis, Manthos D & Papanikolaou, Nikolaos I, 2009.
"Determinants of bank efficiency: Evidence from a semi-parametric methodology,"
13893, University Library of Munich, Germany.
- Manthos D. Delis & Nikolaos I. Papanikolaou, 2009. "Determinants of bank efficiency: evidence from a semi-parametric methodology," Managerial Finance, Emerald Group Publishing, vol. 35(3), pages 260-275.
When requesting a correction, please mention this item's handle: RePEc:lbo:lbowps:2010_03. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Huw Edwards)
If references are entirely missing, you can add them using this form.