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Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks

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  • HSIAO, Cheng
  • SHEN, Yan
  • BIAN, Wenlong

Abstract

This paper estimates the cost and profit efficiency of the Chinese domestic banking sector to evaluate the effectiveness of China's financial reforms since 1978. We use the performance of foreign banks as the benchmark because foreign banks, subject to intensive worldwide competition, are perceived as possessing superior governing structure and organization, more advanced technologies and better trained labor force. On the other hand, competition in China's banking sector is mainly in the form of nonprice measures, thus putting foreign banks at a disadvantage. We find domestic banks have gradually caught up the cost advantage of foreign banks in a manner consistent with the increased competitive pressure. On the other hand, the profit advantage of domestic banks over foreign banks is widening because of institutional arrangements, cultural and social networks as well as the profit scope and revenue scale economy.

Suggested Citation

  • HSIAO, Cheng & SHEN, Yan & BIAN, Wenlong, 2015. "Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks," China Economic Review, Elsevier, vol. 35(C), pages 70-82.
  • Handle: RePEc:eee:chieco:v:35:y:2015:i:c:p:70-82
    DOI: 10.1016/j.chieco.2015.05.006
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    1. Pulley, Lawrence B & Braunstein, Yale M, 1992. "A Composite Cost Function for Multiproduct Firms with an Application to Economies of Scope in Banking," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 221-230, May.
    2. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    3. H. Steve Ching & Cheng Hsiao & Shui Ki Wan & Tongsan Wang, 2011. "Economic Benefits Of Globalization: The Impact Of Entry To The Wto On China'S Growth," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 285-301, August.
    4. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    5. 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.
    6. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2010. "The effects of focus versus diversification on bank performance: Evidence from Chinese banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1417-1435, July.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    8. H. Semih Yildirim & George Philippatos, 2007. "Efficiency of Banks: Recent Evidence from the Transition Economies of Europe, 1993-2000," The European Journal of Finance, Taylor & Francis Journals, vol. 13(2), pages 123-143.
    9. Chang, C. & Liao, G. & Yu, X. & Ni, Z., 2009. "Information from Relationship Lending : Evidence from China," Discussion Paper 2009-39 S, Tilburg University, Center for Economic Research.
    10. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    11. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    12. Chun‐Yu Ho, 2015. "Switching Cost And Deposit Demand In China," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 723-749, August.
    13. Chun Chang & Guanmin Liao & Xiaoyun Yu & Zheng Ni, 2014. "Information from Relationship Lending: Evidence from Loan Defaults in China," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(6), pages 1225-1257, September.
    14. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    15. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    16. Saiying (Esther) Deng & Elyas Elyasiani, 2008. "Geographic Diversification, Bank Holding Company Value, and Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1217-1238, September.
    17. Joshua D. Angrist & Jörn-Steffen Pischke, 2014. "Mastering ’Metrics: The Path from Cause to Effect," Economics Books, Princeton University Press, edition 1, number 10363, March.
    18. Sickles, Robin C. & Good, David & Johnson, Richard L., 1986. "Allocative distortions and the regulatory transition of the U.S. airline industry," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 143-163.
    19. Xu, Lei & Lin, Chien-Ting, 2007. "Can Chinese banks compete after accession to WTO?," Journal of Asian Economics, Elsevier, vol. 18(6), pages 883-903, December.
    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. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    23. Leung, M.K. & Chan, Ricky Y.K., 2006. "Are foreign banks sure winners in post-WTO China?," Business Horizons, Elsevier, vol. 49(3), pages 221-234.
    24. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    25. Stiroh, Kevin J., 2006. "A Portfolio View of Banking with Interest and Noninterest Activities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1351-1361, August.
    26. 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.
    27. Sturm, Jan-Egbert & Williams, Barry, 2004. "Foreign bank entry, deregulation and bank efficiency: Lessons from the Australian experience," Journal of Banking & Finance, Elsevier, vol. 28(7), pages 1775-1799, July.
    28. Good, David H. & Roller, Lars-Hendrik & Sickles, Robin C., 1995. "Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation," European Journal of Operational Research, Elsevier, vol. 80(3), pages 508-518, February.
    29. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    30. 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.
    31. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    32. Yin, Haiyan & Yang, Jiawen & Mehran, Jamshid, 2013. "An empirical study of bank efficiency in China after WTO accession," Global Finance Journal, Elsevier, vol. 24(2), pages 153-170.
    33. Hou, Xiaohui & Wang, Qing & Zhang, Qi, 2014. "Market structure, risk taking, and the efficiency of Chinese commercial banks," Emerging Markets Review, Elsevier, vol. 20(C), pages 75-88.
    34. 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.
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    Cited by:

    1. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    2. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.

    More about this item

    Keywords

    Financial reform; Efficiency; Stochastic frontier analysis;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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