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Environmental Factors Affecting Hong Kong Banking: A Post-Asian Financial Crisis Efficiency Analysis

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Author Info
Karligash Kenjegalieva () (Dept of Economics, Loughborough University)
Maximilian J. B. Hall () (Dept of Economics, Loughborough University)
Richard Simper () (Dept of Economics, Loughborough University)

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Abstract

Within the banking efficiency analysis literature there is a dearth of studies which have considered how banks have ‘survived’ the Asian financial crisis of the late 1990s. Considering the profound changes that have occurred in the region’s financial systems since then, such an analysis is both timely and warranted. This paper examines the evolution of Hong Kong’s banking industry’s efficiency and its macroeconomic determinants through the prism of two alternative approaches to banking production based on the intermediation and services-producing goals of bank management over the post-crisis period. Within this research strategy we employ Tone’s (2001) Slacks-Based Model (SBM) combining it with recent bootstrapping techniques, namely the non-parametric truncated regression analysis suggested by Simar and Wilson (2007) and Simar and Zelenyuk’s (2007) group-wise heterogeneous sub-sampling approach. We find that there was a significant negative effect on Hong Kong bank efficiency in 2001, which we ascribe to the fallout from the terrorist attacks in America in 9/11 and to the completion of deposit rate deregulation that year. However, post 2001 most banks have reported a steady increase in efficiency leading to a better ‘intermediation’ and ‘production’ of activities than in the base year of 2000, with the SARS epidemic having surprisingly little effect in 2003. It was also interesting to find that the smaller banks were more efficient than the larger banks, but the latter were also able to enjoy economies of scale. This size factor was linked to the exportability of financial services. Other environmental factors found to be significantly impacting on bank efficiency were private consumption and housing rent.

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File URL: http://www.lboro.ac.uk/departments/ec/RePEc/lbo/lbowps/MHKKRS.pdf
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Paper provided by Department of Economics, Loughborough University in its series Discussion Paper Series with number 2008-01.

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Date of creation: Jun 2008
Date of revision: Jun 2008
Handle: RePEc:lbo:lbowps:2008-01

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

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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. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May. [Downloadable!] (restricted)
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  2. 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)
  3. Fare, Rolf & Zelenyuk, Valentin, 2003. "On aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 146(3), pages 615-620, May. [Downloadable!] (restricted)
  4. 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)
  5. 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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  6. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May. [Downloadable!] (restricted)
  7. Léopold Simar & Valentin Zelenyuk, 2007. "Statistical inference for aggregates of Farrell-type efficiencies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1367-1394. [Downloadable!]
  8. 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)
  9. 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)
  10. 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)
  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)
  12. Kwan, Simon H., 2006. "The X-efficiency of commercial banks in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1127-1147, April. [Downloadable!] (restricted)
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