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Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis

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  • Dong, Yizhe
  • Hamilton, Robert
  • Tippett, Mark

Abstract

This paper investigates the consistency of efficiency scores obtained from the stochastic frontier analysis and data envelopment analysis methods. We estimate cost efficiency and economies of scale based on an unbalanced panel data set of Chinese banks over the period 1994 to 2007. The results suggest moderate consistency between parametric and non-parametric frontier methods in efficiency scores rankings, identification of best and worst practise banks, the stability of efficiency scores over time and correlation between frontier efficiency and accounting based performance measures. Based on the findings, we conclude that the use of multiple frontier techniques for efficiency analysis is to be strongly recommended and that this methodological cross-checking analysis will result in more robust and convincing assessments of bank performance.

Suggested Citation

  • Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    • Handle: RePEc:eee:ecmode:v:36:y:2014:i:c:p:298-308
    DOI: 10.1016/j.econmod.2013.09.042
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    as
    1. Subal Kumbhakar & Dan Wang, 2007. "Economic reforms, efficiency and productivity in Chinese banking," Journal of Regulatory Economics, Springer, vol. 32(2), pages 105-129, October.
    2. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
    3. Mester, Loretta J., 1997. "Measuring efficiency at U.S. banks: Accounting for heterogeneity is important," European Journal of Operational Research, Elsevier, vol. 98(2), pages 230-242, April.
    4. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    5. Rogers, Kevin E., 1998. "Nontraditional activities and the efficiency of US commercial banks," Journal of Banking & Finance, Elsevier, vol. 22(4), pages 467-482, May.
    6. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    7. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    8. Altunbas, Y. & Gardener, E. P. M. & Molyneux, P. & Moore, B., 2001. "Efficiency in European banking," European Economic Review, Elsevier, vol. 45(10), pages 1931-1955, December.
    9. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    10. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    11. Casu, Barbara & Girardone, Claudia & Molyneux, Philip, 2004. "Productivity change in European banking: A comparison of parametric and non-parametric approaches," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2521-2540, October.
    12. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, Decembrie.
    13. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    14. K Tone, 2002. "A strange case of the cost and allocative efficiencies in DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(11), pages 1225-1231, November.
    15. Robert A. Eisenbeis & Gary D. Ferrier & Simon H. Kwan, 1999. "The informativeness of stochastic frontier and programming frontier efficiency scores: Cost efficiency and other measures of bank holding company performance," FRB Atlanta Working Paper 99-23, Federal Reserve Bank of Atlanta.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Jeremy Forster & Sherrill Shaffer, 2005. "Bank efficiency ratios in Latin America," Applied Economics Letters, Taylor & Francis Journals, vol. 12(9), pages 529-532.
    18. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    19. Drake, Leigh & Weyman-Jones, Thomas G, 1996. "Productive and Allocative Inefficiencies in U.K. Building Societies: A Comparison of Non-parametric and Stochastic Frontier Techniques," The Manchester School of Economic & Social Studies, University of Manchester, vol. 64(1), pages 22-37, March.
    20. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2007. "Cost X-efficiency in China's banking sector," China Economic Review, Elsevier, vol. 18(1), pages 35-53.
    21. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    22. Vander Vennet, Rudi, 2002. "Cost and Profit Efficiency of Financial Conglomerates and Universal Banks in Europe," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 254-282, February.
    23. Claudia Girardone & Philip Molyneux & Edward Gardener, 2004. "Analysing the determinants of bank efficiency: the case of Italian banks," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 215-227.
    24. Delis, Manthos D & Papanikolaou, Nikolaos I, 2009. "Determinants of bank efficiency: Evidence from a semi-parametric methodology," MPRA Paper 13893, University Library of Munich, Germany.
    25. Jagtiani, Julapa & Khanthavit, Anya, 1996. "Scale and scope economies at large banks: Including off-balance sheet products and regulatory effects (1984-1991)," Journal of Banking & Finance, Elsevier, vol. 20(7), pages 1271-1287, August.
    26. Weill, Laurent, 2006. "On the consistency of aggregate production frontiers," European Journal of Operational Research, Elsevier, vol. 172(1), pages 326-333, July.
    27. Tai–Hsin Huang & Mei–Hui Wang, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non–parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
    28. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    29. Manthos Delis & Anastasia Koutsomanoli-Fillipaki & Christos Staikouras & Gerogiannaki Katerina, 2009. "Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies," Applied Financial Economics, Taylor & Francis Journals, vol. 19(3), pages 191-202.
    30. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    31. Laurent Weill, 2004. "Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques," Journal of Productivity Analysis, Springer, vol. 21(2), pages 133-152, March.
    32. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    33. Allen N. Berger & Robert DeYoung & Hesna Genay & Gregory F. Udell, 1999. "Globalization of financial institutions: evidence from cross-border banking performance," Working Paper Series WP-99-25, Federal Reserve Bank of Chicago.
    34. A. Charnes & W. W. Cooper & T. Sueyoshi, 1988. "A Goal Programming/Constrained Regression Review of the Bell System Breakup," Management Science, INFORMS, vol. 34(1), pages 1-26, January.
    35. Chen, Xiaogang & Skully, Michael & Brown, Kym, 2005. "Banking efficiency in China: Application of DEA to pre- and post-deregulation eras: 1993-2000," China Economic Review, Elsevier, vol. 16(3), pages 229-245.
    36. Violaine Cousin, 2007. "Banking in China," Palgrave Macmillan Studies in Banking and Financial Institutions, Palgrave Macmillan, number 978-0-230-59584-2, December.
    37. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    38. 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.
    39. 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 1251-1266, September.
    40. Clark, Jeffrey A & Siems, Thomas F, 2002. "X-Efficiency in Banking: Looking beyond the Balance Sheet," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 987-1013, November.
    41. Odeck, James & Bråthen, Svein, 2012. "A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
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    More about this item

    Keywords

    Cost efficiency; Stochastic frontier analysis; Data envelope analysis; Chinese banking;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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