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Persistent and transient inefficiency: Explaining the low efficiency of Chinese big banks11We thank Ifthekar Hasan, Chun-Yu Ho, Iikka Korhonen, Jun Wu, Yanrui Wu, the participants of the Conference on China's Financial Markets and Growth Rebalancing in New York (October 2017), AEA/ASSA meeting in Philadelphia (January 2018), Finnish Economic Association XL Annual Meeting in Turku (February 2018), ESCB China Expert Network workshop in Helsinki (March 2018), XIX April International Academic Conference in Moscow (April 2018), China Financial and Banking System Workshop in Aberdeen (June 2018), CEA Annual Meeting in Edinburgh (June 2018) and the research seminars at the Bank of Finland Institute for Economies in Transition (October 2017), Aix-Marseille School of Economics (January 2018), Leibniz-Institut für Ost- und Südosteuropaforschung in Regensburg (June 2018) for their valuable comments and suggestions

Author

Listed:
  • Fungáčová, Zuzana
  • Klein, Paul-Olivier
  • Weill, Laurent

Abstract

A vast literature shows that China's five largest state-owned banks (the Big Five) suffer from low cost efficiency. We offer a new explanation of this situation, by decomposing overall efficiency of Chinese banks into two parts: persistent and transient efficiency. Using the model of Kumbhakar, Lien, and Hardaker (2014) based on the stochastic frontier approach, we measure persistent and transient efficiency for a large sample of 166 Chinese banks over the period 2008–2015. We show that the lower efficiency of China's Big Five banks is almost entirely due to low persistent cost efficiency, indicating structural problems. On the contrary, the Big Five banks transient efficiency is similar to other Chinese banks, reflecting a good aptitude to minimize their costs in the short-term. Our findings support the view that major structural reforms are needed to enhance the efficiency of China's Big Five banks.

Suggested Citation

  • Fungáčová, Zuzana & Klein, Paul-Olivier & Weill, Laurent, 2020. "Persistent and transient inefficiency: Explaining the low efficiency of Chinese big banks11We thank Ifthekar Hasan, Chun-Yu Ho, Iikka Korhonen, Jun Wu, Yanrui Wu, the participants of the Conference on," China Economic Review, Elsevier, vol. 59(C).
  • Handle: RePEc:eee:chieco:v:59:y:2020:i:c:s1043951x19301294
    DOI: 10.1016/j.chieco.2019.101368
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    References listed on IDEAS

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    1. Fungáčová, Zuzana & Pessarossi, Pierre & Weill, Laurent, 2013. "Is bank competition detrimental to efficiency? Evidence from China," China Economic Review, Elsevier, vol. 27(C), pages 121-134.
    2. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2007. "Cost X-efficiency in China's banking sector," China Economic Review, Elsevier, vol. 18(1), pages 35-53.
    3. Peng, Winnie Qian & Wei, K.C. John & Yang, Zhishu, 2011. "Tunneling or propping: Evidence from connected transactions in China," Journal of Corporate Finance, Elsevier, vol. 17(2), pages 306-325, April.
    4. Riccardo Lucchetti & Luca Papi & Alberto Zazzaro, 2001. "Banks’ Inefficiency and Economic Growth: A Micro‐Macro Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(4), pages 400-424, September.
    5. 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.
    6. Efthymios G. Tsionas & Subal C. Kumbhakar, 2014. "FIRM HETEROGENEITY, PERSISTENT AND TRANSIENT TECHNICAL INEFFICIENCY: A GENERALIZED TRUE RANDOM‐EFFECTS model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 110-132, January.
    7. Massimo Filippini & William Greene, 2016. "Persistent and transient productive inefficiency: a maximum simulated likelihood approach," Journal of Productivity Analysis, Springer, vol. 45(2), pages 187-196, April.
    8. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    9. Podpiera, Jiri & Weill, Laurent, 2008. "Bad luck or bad management? Emerging banking market experience," Journal of Financial Stability, Elsevier, vol. 4(2), pages 135-148, June.
    10. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    11. 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.
    12. repec:zbw:bofrdp:2009_013 is not listed on IDEAS
    13. Fungáčová, Zuzana & Nuutilainen, Riikka & Weill, Laurent, 2016. "Reserve requirements and the bank lending channel in China," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 37-50.
    14. 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.
    15. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514.
    16. 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.
    17. Badunenko, Oleg & Kumbhakar, Subal C., 2017. "Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?," European Journal of Operational Research, Elsevier, vol. 260(2), pages 789-803.
    18. Mr. Tamim Bayoumi & Ola Melander, 2008. "Credit Matters: Empirical Evidence on U.S. Macro-Financial Linkages," IMF Working Papers 2008/169, International Monetary Fund.
    19. Noss, Joseph & Toffano, Priscilla, 2016. "Estimating the impact of changes in aggregate bank capital requirements on lending and growth during an upswing," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 15-27.
    20. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    21. Greene, William H., 1980. "On the estimation of a flexible frontier production model," Journal of Econometrics, Elsevier, vol. 13(1), pages 101-115, May.
    22. Hasan, Iftekhar & Koetter, Michael & Wedow, Michael, 2009. "Regional growth and finance in Europe: Is there a quality effect of bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1446-1453, August.
    23. 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.
    24. Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
    25. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.
    26. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    More about this item

    Keywords

    Banks; Efficiency; China;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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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