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Operational Environment-adjusted Nationwide Bank Efficiency in China


Affiliations
1 Institute of Business and Management National Chiao Tung University Taipei City 100, Taiwan, Province of China
2 Department of Finance China University of Technology, Taiwan, Province of China
3 Business School University of Gloucestershire, United Kingdom
     

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In addition to managerial factors, the operational environment also brings favorable and unfavorable effects upon banks. This study attempts to separate the inefficiency caused by management and the inefficiency caused by operational environment. Applying the four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), this paper studies the operational environment-adjusted efficiency of eleven nationwide banks in China from 1995 to 2004. There are two outputs (investment and loans) and three inputs (deposits, employees, and fixed assets) in the DEA model. All nominal variables are transformed into real variables by the GDP deflators at the 1995 price level. After adjusting the input variables by excluding effects caused by environmental factors, state-owned banks show a greater improvement on efficiency. This implies that joint-equity ownership significantly favors nationwide banks in China. State-owned banks can hence engage in ownership reform to improve their efficiency.

Keywords

Data Envelopment Analysis (dea), Environment-adjusted Efficiency, Ownership Reform, China, Banking Industry
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  • Afrait, S. N. (1972), Efficiency Estimation of Production Functions, International Economic Review, 13: 568-598.
  • Alibaba.com (2005), China's Growth: Recent Trading Trends, from .
  • Aly, H. Y., Grabowski, R., Pasurka, C. and Rangan, N. (1990), Technical, Scale, and Allocative Efficiencies in US Banking: An Empirical Investigation, Review of Economics and Statistics, 72: 211-218.
  • Banker, R. D., Charnes, A. and Cooper, W. W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30: 1078-1092.
  • Beccalli, E., Casu, B. and Girardone, C. (2003), Efficiency and Stock Performance in European Banking, NBER Working Papers, No. 5879.
  • Berger, A.N., Hanweck, G.A. and D.B. Humphrey (1987), Competitive Viability in Banking: Scale, Scope, and Product Mix Economies, Journal of Monetary Economics, 20: 501-520.
  • Boles, J. N. (1966) Efficiency Squared - Efficiency Computation of Efficiency Indexes, Proceedings of the 39th Annual Meeting of the Western Farm Economics Association, pp.137-142.
  • Charnes, A., Cooper, W. W. and Rhodes, E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2: 429-444.
  • Chen, X. G., Skully, M. and Brown, K. (2005), Banking Efficiency in China: Application of DEA to Pre- and Post-Deregulation Eras: 1993-2000, China Economic Review, 16: 229-245.
  • Drake, L., Hall, M. J. B. and Simper, R. (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, 30: 1443-1466.
  • Farrell, M. J. (1957), The Measurement of Productive Efficiency, Journal of Royal Statistical Society, Part A, 120: 253-281.
  • Fried, H. O., Schmidt, S. S. and Yaisawarng, S. (1999), Incorporating the Operating Environment into a Nonparametric Measure of Technical Efficiency, Journal of Productivity Analysis, 12: 249-267.
  • Hardy, D. C. and Patti, E. B. (2001), Bank Reform and Bank Efficiency in Pakistan, Working Paper, International Monetary Fund.
  • Hu, J. L., Su, Y. Y. and Chen, C. P. (2008), Efficiency of Nationwide Banks in China, Journal of American Academy of Business, 13(2): 84-90.
  • Jemric, I. and Vujcic, B. (2002), Efficiency of Banks in Croatia: A DEA Approach, Comparative Economic Studies, 44: 169-193.
  • Li, Y., Hu, J. L. and Chiu, Y. H. (2004), Ownership and Production Efficiency: Evidence from Taiwan’s Banks, Service Industries Journal, 24(4): 129-148.
  • Lin, J.Y., Cai, F. and Li, Z. (2003), The China Miracle: Development Strategy and Economic Reform, Chinese University Press, Hong Kong.
  • Maudos, J., Pastor, J. M. and Perez, F. (2002), Cost and Profit Efficiency in European Banks, Journal of International Financial Markets, Institutions and Money, 12: 33-58.
  • Mercan, M., Reisman, A., Yolalan, R. and Emel, A. B. (2003), The Effect Scale and Mode of Ownership on the Financial Performance of Turkish Banking Sector: Results of a DEA-based Analysis, Socio-Economics Planning Sciences, 37: 185-202.
  • Mester, L. J. (1995), A Study of Bank Efficiency Taking into Account Risk-preferences, Journal of Banking and Finance, 20: 1025- 1045.
  • Mishkin, F. S. (1995), Symposium on the Monetary Transmission Mechanism, Journal of Economic Perspectives, 9(4): 3-10.
  • Pi, L. and Timme, S. G. (1993), Corporate Control and Bank Efficiency, Journal of Banking and Finance, 17: 515-530.
  • Sathye, M. (2003), Efficiency of Banks in a Developing Economy: The Case of India, European Journal of Operational Research, 148: 662-671.
  • Seiford, L. M. (1996), Data Envelopment Analysis: The Evaluation of the State of the Art (1978-1995), Journal of Productivity Analysis, 7: 99-138.
  • Seiford, L. M. and Thrall, R. M. (1990), Recent Developments in DEA: the Mathematical Approach to Frontier Analysis, Journal of Econometrics, 46: 7-38.
  • Sturm, J. E. and Williams, B. (2003), Foreign Bank Entry, Deregulation and Bank Efficiency: Lessons from the Australian Experience, Journal of Banking and Finance, 28: 1775-1799.
  • Tian, G. (2000), Property Rights and the Nature of Chinese Collective Enterprises, Journal of Comparative Economics, 28: 247-268.
  • Wang, W. K., Huang, H. C. and Lai, M. C. (2005), Measuring the Relative Efficiency of Commercial Banks: A Comparative Study on Different Ownership Modes in China, Journal of American Academy of Business, 7: 219-223.

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  • Operational Environment-adjusted Nationwide Bank Efficiency in China

Abstract Views: 380  |  PDF Views: 1

Authors

Hu Jin-Li
Institute of Business and Management National Chiao Tung University Taipei City 100, Taiwan, Province of China
Chu Wei-Kai
Department of Finance China University of Technology, Taiwan, Province of China
Hu Xiaoling
Business School University of Gloucestershire, United Kingdom
Lee Chih-Yuan
Institute of Business and Management National Chiao Tung University Taipei City 100, Taiwan, Province of China

Abstract


In addition to managerial factors, the operational environment also brings favorable and unfavorable effects upon banks. This study attempts to separate the inefficiency caused by management and the inefficiency caused by operational environment. Applying the four-stage data envelopment analysis (DEA) approach proposed by Fried et al. (1999), this paper studies the operational environment-adjusted efficiency of eleven nationwide banks in China from 1995 to 2004. There are two outputs (investment and loans) and three inputs (deposits, employees, and fixed assets) in the DEA model. All nominal variables are transformed into real variables by the GDP deflators at the 1995 price level. After adjusting the input variables by excluding effects caused by environmental factors, state-owned banks show a greater improvement on efficiency. This implies that joint-equity ownership significantly favors nationwide banks in China. State-owned banks can hence engage in ownership reform to improve their efficiency.

Keywords


Data Envelopment Analysis (dea), Environment-adjusted Efficiency, Ownership Reform, China, Banking Industry

References