IDEAS home Printed from https://ideas.repec.org/a/taf/macfem/v2y2009i1p93-133.html
   My bibliography  Save this article

The determinants of efficiency of publicly listed Chinese banks: evidence from two-stage banking models

Author

Listed:
  • Fadzlan Sufian

Abstract

The paper attempts to investigate the long-term trend in the efficiency of the Chinese banking sector over the period 1997-2006 by employing the Data Envelopment Analysis (DEA) window analysis method. We find that the small banks have exhibited the lowest mean technical efficiency compared to their medium and large bank peers, while the medium-sized banks were relatively more technically efficient compared to their small and large bank counterparts. The empirical findings suggest that the Joint Stock Commercial Banks (JSCBs) have been relatively more technically efficient compared to their State-Owned Commercial Bank (SOCB) counterparts attributed to higher mean scale efficiency. On the other hand, the SOCBs have outperformed their JSCB counterparts in terms of pure technical efficiency. The results from the second-stage regression analysis suggest that technical efficiency is positively associated with diversification, loans intensity, capitalization levels, and economic growth. On the other hand, technical efficiency is negatively related to size and expense preference behaviour.

Suggested Citation

  • Fadzlan Sufian, 2009. "The determinants of efficiency of publicly listed Chinese banks: evidence from two-stage banking models," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 2(1), pages 93-133.
  • Handle: RePEc:taf:macfem:v:2:y:2009:i:1:p:93-133
    DOI: 10.1080/17520840902726458
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/17520840902726458
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/17520840902726458?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richard S. Barr & Thomas F. Siems, 1994. "Predicting bank failure using DEA to quantify management quality," Financial Industry Studies Working Paper 94-1, Federal Reserve Bank of Dallas.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Proença, Catarina & Augusto, Mário & Murteira, José, 2023. "The effect of earnings management on bank efficiency: Evidence from ECB-supervised banks," Finance Research Letters, Elsevier, vol. 51(C).
    2. Jesús Gustavo Garza-García, 2012. "Determinants of bank efficiency in Mexico: a two-stage analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 19(17), pages 1679-1682.
    3. Huaqing Wu & Jingyu Yang & Wensheng Wu & Ya Chen, 2023. "Interest rate liberalization and bank efficiency: A DEA analysis of Chinese commercial banks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 467-498, June.
    4. Andersson, Fredrik N. G. & Burzynska, Katarzyna & Opper, Sonja, 2013. "Lending for Growth? An Analysis of State-Owned Banks in China," Working Papers 2013:19, Lund University, Department of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christophe Godlewski, 2004. "Modélisation de la Prévision de Défaillance Bancaire Une Application aux Banques des Pays Emergents," Finance 0409026, University Library of Munich, Germany.
    2. Ahlem Selma Messai & Fathi Jouini, 2013. "Micro and Macro Determinants of Non-performing Loan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 852-860.
    3. Pavlos Almanidis & Robin C. Sickles, 2016. "Banking Crises, Early Warning Models, and Efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor (ed.), Advances in Efficiency and Productivity, chapter 0, pages 331-364, Springer.
    4. Badunenko, Oleg & Kumbhakar, Subal C. & Lozano‐Vivas, Ana, 2021. "Achieving a sustainable cost-efficient business model in banking: The case of European commercial banks," European Journal of Operational Research, Elsevier, vol. 293(2), pages 773-785.
    5. Jose Pastor, 1999. "Efficiency and risk management in Spanish banking: a method to decompose risk," Applied Financial Economics, Taylor & Francis Journals, vol. 9(4), pages 371-384.
    6. Stephen M. Miller & Athanasios Noulas, 1995. "Explaining Recent Connecticut Bank Failures," Working papers 1995-01, University of Connecticut, Department of Economics.
    7. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Predicting US banks bankruptcy: logit versus Canonical Discriminant analysis," Documents de travail du Centre d'Economie de la Sorbonne 16016, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    8. Pires Gonçalves, Ricardo, 2006. "Management Quality Measurement: Using Data Envelopment Analysis (DEA) Estimation Approach for Banks in Brazil," MPRA Paper 11143, University Library of Munich, Germany.
    9. Gunjan M. Sanjeev, 2006. "Data Envelopment Analysis (Dea) for Measuring Technical Efficiency of Banks," Vision, , vol. 10(1), pages 13-27, January.
    10. Fadzlan Sufian & Muzafar Shah Habibullah, 2012. "Developments in the efficiency of the Malaysian banking sector: the impacts of financial disruptions and exchange rate regimes," Progress in Development Studies, , vol. 12(1), pages 19-46, January.
    11. David C. Wheelock & Paul W. Wilson, 2000. "Why do Banks Disappear? The Determinants of U.S. Bank Failures and Acquisitions," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 127-138, February.
    12. Sufian, Fadzlan & Abdul Majid, Muhamed Zulkhibri, 2007. "Bank Ownership, Characteristics and Performance: A Comparative Analysis of Domestic and Foreign Islamic Banks in Malaysia," MPRA Paper 12131, University Library of Munich, Germany, revised 01 Jun 2007.
    13. José Manuel Pastor Monsálvez, 1999. "- Credit Risk And Efficiency In The European Banking Systems: A Three-Stage Analysis," Working Papers. Serie EC 1999-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    14. Fadzlan Sufian, 2012. "For which option is credit risk more representative on China banks' total factor productivity," China Finance Review International, Emerald Group Publishing Limited, vol. 2(2), pages 180-202, April.
    15. Christophe Godlewski, 2004. "Excess Credit Risk and Bank’s Default Risk An Application of Default Prediction’s Models to Banks from Emerging Market Economies," Finance 0409028, University Library of Munich, Germany.
    16. Fatima Zohra Marouf & Zeyneb Guellil, 2017. "The Macroeconomic Determinants of Credit Risk: The Algerian Banking System," MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference, Monastier di Treviso, Italy, 24–27 May 2017,, University of Primorska Press.
    17. Chen, Jian & Katchova, Ani L. & Zhou, Chenxi, 2021. "Agricultural loan delinquency prediction using machine learning methods," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), May.
    18. Wade D. Cook & Joe Zhu, 2006. "Incorporating Multiprocess Performance Standards into the DEA Framework," Operations Research, INFORMS, vol. 54(4), pages 656-665, August.
    19. Alandejani, Maha & Asutay, Mehmet, 2017. "Nonperforming loans in the GCC banking sectors: Does the Islamic finance matter?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 832-854.
    20. Noor Ulain Rizvi & Smita Kashiramka & Shveta Singh, 2018. "Basel I to Basel III: Impact of Credit Risk and Interest Rate Risk of Banks in India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 83-111, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:macfem:v:2:y:2009:i:1:p:93-133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/REME20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.