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Nonperforming Loans and Productivity in Chinese Banks, 1997-2006

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  • Kent Matthews
  • Xu Zhang
  • Jianguang Guo

Abstract

A bootstrap method for Malmquist index estimates of productivity growth is constructed with appropriate confidence intervals. This paper adjusts for the quality of the output by accounting for the nonperforming loans (NPLs) on balance sheets and tests the robustness of the results by examining alternative sets of outputs. The productivity growth of state-owned banks and joint-stock banks is compared, and the determinants are evaluated. It was found that the average productivity of Chinese banks improved modestly over this period. Adjusting for the quality of loans by treating NPLs as an undesirable output, the average productivity growth of the state-owned banks was zero or negative, while the productivity of the joint-stock banks was markedly higher.

Suggested Citation

  • Kent Matthews & Xu Zhang & Jianguang Guo, 2009. "Nonperforming Loans and Productivity in Chinese Banks, 1997-2006," Chinese Economy, Taylor & Francis Journals, vol. 42(2), pages 30-47, March.
    • Handle: RePEc:mes:chinec:v:42:y:2009:i:2:p:30-47
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    References listed on IDEAS

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    1. Matthews, Kent & Guo, Jianguang & Zhang, Nina & Wang, Lina, 2007. "Bank Efficiency in China, Rent Seeking versus X-inefficiency: A non-parametric Bootstrapping Approach," Cardiff Economics Working Papers E2007/4, Cardiff University, Cardiff Business School, Economics Section, revised Mar 2007.
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    5. Matthews, Kent & Guo, Jianguang & Zhang, Nina, 2007. "Rational Inefficiency and non-performing loans in Chinese Banking: A non-parametric Bootstrapping Approach," Cardiff Economics Working Papers E2007/5, Cardiff University, Cardiff Business School, Economics Section.
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    13. Athanasios Noulas, 1997. "Productivity growth in the Hellenic banking industry: state versus private banks," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 223-228.
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    Cited by:

    1. Kent Matthews & Zhiguo Xiao & Xu Zhang, 2009. "Rational Cost Inefficiency in Chinese Banks," Working Papers 292009, Hong Kong Institute for Monetary Research.
    2. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    3. Matthews, Kent & Zhang, Nina, 2009. "Bank Productivity in China 1997-2007: An Exercise in Measurement," Cardiff Economics Working Papers E2009/14, Cardiff University, Cardiff Business School, Economics Section.
    4. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    5. Jun Du & Sourafel Girma, 2011. "Cost economies, efficiency and productivity growth in the Chinese banking industry: evidence from a quarterly panel dataset," Empirical Economics, Springer, vol. 41(1), pages 199-226, August.
    6. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
    7. He, Dong & Zhang, Wenlang, 2010. "How dependent is the Chinese economy on exports and in what sense has its growth been export-led?," Journal of Asian Economics, Elsevier, vol. 21(1), pages 87-104, February.
    8. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    9. Gulati, Rachita & Charles, Vincent & Hassan, M. Kabir & Kumar, Sunil, 2023. "COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    10. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    11. Rasoul Rezvanian & Rima Turk Ariss & Seyed Mehdian, 2011. "Cost efficiency, technological progress and productivity growth of Chinese banking pre- and post-WTO accession," Applied Financial Economics, Taylor & Francis Journals, vol. 21(7), pages 437-454.
    12. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
    13. Chen, Xiang & Wu, Xin, 2020. "What factor contributes to productivity growth of Chinese city banks: The role of regional difference," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

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    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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