Measuring efficiency in Chinese commercial banks using a DEA model with undesirable output

International Journal of Information and Decision Sciences

Volumn 5, Issue 2, 2013, Pages 140-153

  Huang, Xiaodan ^a   Hu, Dasha ^a   Zhou, Zhixiang ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

China; Commercial banks; Data envelopment analysis; DEA; Efficiency; Undesirable output

Indexed keywords

EID: 84893116169     PISSN: 17567017     EISSN: 17567025     Source Type: Journal    
DOI: 10.1504/IJIDS.2013.053801     Document Type: Article

References (28)

1. Avkiran, N.C. (2011) 'Association of DEA super-efficiency estimates with financial ratios: investigating the case for Chinese banks', Omega, Vol. 39, No. 3, pp.323-334.
2. Avkiran, N.K. and Morita, H. (2010) 'Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking', Omega, Vol. 38, No. 6, pp.501-508.
3. Banker, R.D., Charnes, A. and Copper, W.W. (1984) 'Some models for estimating technical and scale inefficiencies in data envelopment analysis', Management Science, Vol. 30, No. 9, pp.1078-1092.
4. Barros, C.P., Chen, Z.F., Liang, Q.B. and Peypoch, N. (2011) 'Technical efficiency in the Chinese banking sector', Economic Modelling, Vol. 28, No. 5, pp.2083-2089.
5. Berger, A.N., Hasan, I. and Zhou, M.M. (2009) 'Bank ownership and efficiency in China: what will happen in the world's largest nation?', Journal of Banking & Finance, Vol. 33, No. 1, pp.113-130.
6. Charnes, A., Cooper, W.W. and Rhodes, E. (1978) 'Measuring the efficiency decision making units', European Journal of Operational Research, Vol. 2, No. 6, pp.429-444.
7. 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, Vol. 16, No. 3, pp.229-245.
8. Farrell, M.J. (1957) 'The measurement of productive efficiency', Journal of the Royal Statistical Society, Vol. 120, No. 3, pp.253-281.
9. Fu, X.Q. and Heffernan, S. (2007) 'Cost X-efficiency in China's banking sector', China Economic Review, Vol. 19, No. 1, pp.35-53.
10. Haslem, J.A., Scheraga, C.A. and Bedingfield, J.P. (1999) 'DEA efficiency profiles of US banks operating internationally', International Review of Economics and Finance, Vol. 8, No. 2, pp.165-182.
11. Hilmola, O.P. (2010) 'Analysing global railway passenger transport through two-staged efficiency model', International Journal of Information and Decision Sciences, Vol. 2 No. 3, pp.273-284.
12. Hua, Z.S., Bian, Y.W. and Liang, L. (2007) 'Eco-efficiency analysis of paper mills along the Huai River: an extended DEA approach', Omega, Vol. 35, No. 5, pp.578-587.
13. Lu, W.M. and Lo, S.F. (2007) 'A closer look at the economic-environmental disparities for regional development in China', European Journal of Operational Research, Vol. 183, No. 2, pp.882-894.
14. Martin, J.C. and Roman, C. (2010) 'Evaluating the service quality of major air carriers: a DEA approach', International Journal of Applied Management Science, Vol. 2, No. 4, pp.351-371.
15. Mavi, R.K., Makui, A., Fazli, S. and Alinezhad, A. (2010) 'A forecasting method in data envelopment analysis with group decision making', International Journal of Applied Management Science, Vol. 2, No. 2, pp.152-168.
16. Pramodh, C., Ravi, V. and Nagabhushanam, T. (2008) 'Indian banks' productivity ranking via data envelopment analysis and fuzzy multi-attribute decision-making hybrid', International Journal of Information and Decision Sciences, Vol. 1, No. 1, pp.44-65.
17. Sathye, M. (2003) 'Efficiency of banks in a developing Economy: the case of India', European Journal of Operational Research, Vol. 148, No. 3, pp.662-271.
18. Scheel, H. (2001) 'Undesirable outputs in efficiency evaluations', European Journal of Operational Research, Vol. 132, No. 2, pp.400-410.
19. Seiford, L.M. and Zhu, J. (2002) 'Modeling undesirable factors in efficiency evaluation', European Journal of Operational Research, Vol. 142, No. 1, pp.16-20.
20. Sherman, H.D. and Zhu, J. (2006) 'Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: evidence from a US bank application', Annals of Operations Research, Vol. 145, No. 1, pp.301-319.
21. Sufian, F. (2010) 'Evolution in the efficiency of the Indonesian banking sector: a DEA approach', International Journal of Applied Management Science, Vol. 2, No. 4, pp.388-414.
22. Thompson, R.G., Brinkmann, E.J., Dharmapala, P.S., Gonzalez-Lima, M.D. and Thrall, R.M. (1997) 'DEA/AR profit ratios and sensitivity of 100 large US banks', European Journal of Operational Research, Vol. 98, No. 2, pp.213-229.
23. Wang, M. and Li, Y. (2010) 'Enhanced Russell measure do fuzzy DEA', International Journal of Data Analysis Techniques and Strategies, Vol. 2, No. 2, pp.140-154.
24. Wang, M. and Liang, L. (2009) 'Fuzzy context-dependent data envelopment analysis', International Journal of Data Analysis Techniques and Strategies, Vol. 1, No. 3, pp.211-223.
25. Wang, W.K. and Huang, H.C. (2005) 'Measuring the relative efficiency of commercial banks: a comparative study on different ownership modes in China', Journal of American Academy of Business, Vol. 7, No. 2, pp.219-223.
26. Yang, C.C., Hsiao, C.K. and Yu, M.M. (2008) 'Technical efficiency and impact of environmental regulations in farrow-to-finish swine production in Taiwan', Agricultural Economics, Vol. 39, No. 1, pp.51-61.
27. You, S. and Yan, H. (2011) 'A new approach in modeling undesirable output in DEA model', Journal of the Operational Research Society, Vol. 62, No. 12, pp.2146-2156.
28. Zhou, P., Ang, B.W. and Poh, K.L. (2008) 'A survey of data envelopment analysis in energy and environmental studies', European Journal of Operational Research, Vol. 189, No. 1, pp.1-18.