Abstract
Banks play a central role in the financial system and also in the real economy, as the 2008 financial crisis has vividly illustrated. The measurement of banking performance has gained importance for both policy makers and practitioners in relation to their decision making. Hence, empirical assessment of the efficiency of banking institutions has received considerable attention in the banking literature (see Berger and Humphrey, 1997; Berger, 2007; Fethi and Pasiouras, 2010 for a comprehensive review of banking efficiency studies). However, efficiency measures can vary substantially across different samples and empirical specifications, which may limit the use of efficiency measures by decision makers. Some previous studies (e.g., Bauer et al., 1998; McKillop et al., 2005; Bos et al., 2009) have compared the efficiency of financial institutions which is obtained using different approaches or specifications. They reported that efficiency scores vary considerably across different models. Therefore, choosing an appropriate frontier model is very important for measuring banking efficiency.
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References
Aigner, D., Lovell, C.A.K. & Schmidt, P. 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6, 21–37.
Altunbas, Y., Gardener, E.P.M., Molyneux, P. & Moore, B. 2001. Efficiency in European banking. European Economic Review, 45, 1931–1955.
Battese, G.E. & Coelli, T.J. 1995. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325–332.
Battese, G.E. & Coelli, T.J. 1988. Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data, Journal of Econometrics, 38, 387–399.
Bauer, P.W., Berger, A.N., Ferrier, G.D. & Humphrey, D.B. 1998. Consistency conditions for regulatory analysis of financial institutions: A comparison of frontier efficiency methods, journal of Economics and Business, 50, 85–114.
Berger, A.N. 1995. The profit-structure relationship in banking. Tests of market power and efficient structure hypotheses, journal of Money, Credit and Banking, 27, 404–431.
Berger, A.N. 2007. International comparisons of banking efficiency. Financial Markets, Institutions & Instruments, 16, 119–144.
Berger, A.N. & DeYoung, R. 1997. Problem loans and cost efficiency in commercial banks, journal of Banking & Finance, 6, 849–870.
Berger, A.N., Hasan, I. & Zhou, M. 2009. Bank ownership and efficiency in China: What will happen in the world’s largest nation? journal of Banking & Finance, 33, 113–130.
Berger, A.N. & Humphrey, D.B. 1997. Efficiency of financial institutions: International survey and directions for future research. European journal of Operational Research, 98, 175–212.
Berger, A.N. & Mester, L.J. 1997. Inside the Black Box: What explains differences in the efficiencies of financial institutions? journal of Banking & Finance, 2, 895–947.
Bonin, J.P., Hasan, I. & Wachtel, P. 2005. Bank performance, efficiency and ownership in transition countries, journal of Banking & Finance, 29, 31–53.
Bos, J.W.B., Koetter, M., Kolari, J.W & Kool, C.J.M. 2009. Effects of heterogeneity on bank efficiency score. European journal of Operational Research, 195, 251–261.
Casu, B. & Molyneux, P. 2003. A comparison study of efficiency in European banking. Applied Economics, 35, 1865–1876.
Cavallo, L. & Rossi, S.P.S. 2002. Do environmental variables affect the performance and technical efficiency of the European banking systems? A parametrical analysis using the stochastic frontier approach. European Journal of Finance, 8, 123–146.
Casu, B. & Girardone, C. 2006. Bank competition, concentration and efficiency in the single European market. The Manchester School, 74, 441–468.
Coelli, T.J. 1996. A guide to FRONTIER version 4.1: A computer program for stochastic frontier production and cost function estimation. CEPA Working paper, University of New England.
Coelli, T.J., Perelman, S. & Romano, E. 1999. Accounting for environmental influences in stochastic frontier models: With application to international airline. Journal of Productivity Analysis, 11, 251–273.
Cousin, V. 2007. Banking in China. Palgrave Macmillan, UK.
DeYoung, R. & Nolle, D.E. 1996. Foreign-owned banks in the United States: Earning market share or buying It? Journal of Money, Credit and Banking, 28, 622–636.
Fethi, M. & Pasiouras, F. 2010. Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research, 204, 189–198.
Fries, S. & Taci, A. 2005. Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries. Journal of Banking & Finance, 29, 55–81.
Fu, X. & Heffeman, S. 2007. Cost X-efficiency in China’s banking sector. China Economic Review, 18, 35–53.
Greene, W.H. 2005. Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126, 269–303.
Hasan, I. & Marton, K. 2003. Development and efficiency of the banking sector in a transitional economy: Hungarian experience. Journal of Banking & Finance, 27, 2249–2271.
Hughes, J.P., Lang, W., Mester, L.J. & Moon, C. 1996. Efficient banking under interstate branching. Journal of Money, Credit and Banking, 28, 1045–1071.
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, 293–315.
Hughes, J.P. & Mester, L.J. 2008. Efficiency in Banking: Theory, Practice, and Evidence. In Berger, A.N., Molyneux P. & Wilson, J.O.S. (eds) The Oxford Handbook of Banking, Oxford University Press.
Isik, I. & Hassan, M.K. 2003. Efficiency, ownership and market structure, corporate control and governance in the Turkish banking industry. Journal of Business Finance & Accounting, 30, 1363–1421.
Jiang, C.X., Yao, S.J. & Zhang, Z.Y. 2009. The effects of governance changes on bank efficiency in China: A stochastic distance function approach. China Economic Review, 20, 717–731.
Jondrow, J., Lovell, C.A.K., Materov, LS. & Schmidt, P. 1982. On the estimation of technical inefficiency in the stochastic frontier production function model. Jou ni al of Econ om etri cs, 19, 233–238.
Kalirajan, K. 1981. An econometric analysis of yield variability in paddy production. Canadian Journal of Agricultural Economics, 29, 283–294.
Kumbhakar, S. & Lovell, C.A.K. 2000. Stochastic frontier analysis. Cambridge University Press, Cambridge.
Kumbhakar, S. & Wang, D. 2007. Economic reforms, efficiency and productivity in Chinese banking. Journal of Regulatory Economics, 32, 105–129.
McKillop, D.G., Glass, J.C. & Ward, A. 2005. Cost efficiency, environmental influences and UK credit unions, 1991 to 2001. Managerial Finance, 31, 72–86.
Meeusen, W. & van den Broeck, J. 1977. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18, 435–444.
Mester, L.J. 1993. Efficiency in the savings and loan industry. Journal of Banking & Finance, 17, 267–286.
Mester, L.J. 1996. A study of bank efficiency taking into account risk-preferences. Journal of Banking Sc Finance, 20, 1025–1045.
Mester, L.J. 1997. Measuring efficiency at U.S. banks: Accounting for heterogeneity is important. European Journal of Operational Research, 98, 230–242.
Pitt, M.M. & Lee, L. 1981. The measurement and sources of technical inefficiency in the Indonesia weaving industry. Journal of Development Economics, 9, 43–64.
Poghosyan, T. & Kumbhakar, S. 2010. Heterogeneity of technological regimes and banking efficiency in former socialist economies. Journal of Productivity Analysis, 33, 19–31.
Rezvanian, R. & Mehdian, S. 2002. An examination of cost structure and production performance of commercial banks in Singapore. Journal of Banking & Finance, 26, 79–98.
Sensarma, R. 2006. Are foreign banks always the best? Comparison of state-owned, private and Foreign banks in India. Economic Modelling, 23, 717–735.
Stevenson, R.E. 1980. Likelihood functions for generalized stochastic frontier estimation. Journal of Econometrics, 13, 57–66.
Tecles, P.L. & Tabak, B.M. 2010. Determinants of bank efficiency: The case of Brazil. European Journal of Operational Research, 207, 1587–1598.
Uchida, H. & Satake, M. 2009. Market discipline and bank efficiency. Journal of International Financial Markets, Institutes and Money, 19, 792–802.
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© 2015 Yizhe Dong, Douglas Cumming, Alessandra Guariglia, Wenxuan Hou, and Edward Lee
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Dong, Y., Cumming, D., Guariglia, A., Hou, W., Lee, E. (2015). Effects of Heterogeneity on Measuring Efficiency Scores: The Case of China’s Banking Sector. In: Cumming, D., Guariglia, A., Hou, W., Lee, E. (eds) Experiences and Challenges in the Development of the Chinese Capital Market. Palgrave Macmillan, London. https://doi.org/10.1057/9781137454638_3
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