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The impact of risk on technical and scale efficiency: empirical evidence from the China banking sector

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  • Fadzlan Sufian

Abstract

By employing the data envelopment analysis (DEA) method, this paper examines the impact of risks on China banks' technical and scale efficiency estimates. To do so, we follow the procedures set out by Drake and Hall (2003) to include risk factor as a non-discretionary input variable. The results indicate that scale inefficiency outweighs pure technical inefficiency in determining the China banking sector's technical efficiency during the earlier years, while the opposite is true during the latter years. The empirical findings suggest that potential economies of scale to be overestimated in the range of 10% to 22.5% when risk factor is excluded. The inclusion of risk factor has benefited the city commercial banks the most, while the joint stock commercial banks the least. The findings from the multivariate regression analysis indicate that technically efficient banks are larger, relatively better capitalised, have smaller market share and on average have lower amount non-performing loans.

Suggested Citation

  • Fadzlan Sufian, 2010. "The impact of risk on technical and scale efficiency: empirical evidence from the China banking sector," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 12(1), pages 37-71.
    • Handle: RePEc:ids:ijbpma:v:12:y:2010:i:1:p:37-71
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    Cited by:

    1. Basiru Salisu KALLAMU, 2016. "Impact of Corporate Governance on Diversification in Finance Companies: Evidence from Malaysia," Journal of Economics Bibliography, KSP Journals, vol. 3(1), pages 108-122, March.
    2. Bitar, Mohammad & Saad, Wadad & Benlemlih, Mohammed, 2016. "Bank risk and performance in the MENA region: The importance of capital requirements," Economic Systems, Elsevier, vol. 40(3), pages 398-421.
    3. Rishabh Goswami & Farah Hussain & Manish Kumar, 2019. "Banking Efficiency Determinants in India: A Two-stage Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(4), pages 361-380, November.
    4. Isik, Ihsan & Uygur, Ozge, 2021. "Financial crises, bank efficiency and survival: Theory, literature and emerging market evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 952-987.
    5. Wanke, Peter & Azad, Abul Kalam & Emrouznejad, Ali, 2018. "Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach," Global Finance Journal, Elsevier, vol. 35(C), pages 58-71.
    6. Dong Xiang & Parmendra Sharma & Yuming Zhang, 2019. "The Global Financial Crisis, Fiscal Stimulus Package and the Chinese Banking Sector — A Pre- and Post-Efficiency Analysis," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-43, June.
    7. Yi-cheng Liu & Yue-cune Chang, 2013. "The Regional Performances of Agricultural Bank of China Applying GEE Method Multiple Linear Regression," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 3(5), pages 1-3.
    8. Md. Harun Ur Rashid & Shah Asadullah Mohd. Zobair & Md. Asad Iqbal Chowdhury & Azharul Islam, 2020. "Corporate governance and banks’ productivity: evidence from the banking industry in Bangladesh," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 615-637, July.
    9. Bitar, Mohammad & Pukthuanthong, Kuntara & Walker, Thomas, 2020. "Efficiency in Islamic vs. conventional banking: The role of capital and liquidity," Global Finance Journal, Elsevier, vol. 46(C).
    10. Md. Abul Kalam Azad & Susila Munisamy & Kwek Kian Teng & Muzalwana Binti Abdul Talib & Paolo Saona, 2018. "Productivity Changes of Pharmaceutical Industry in Bangladesh: Does Process Patent Matter?," Global Business Review, International Management Institute, vol. 19(4), pages 1013-1025, August.
    11. Gulati, Rachita & Kumar, Sunil, 2016. "Assessing the impact of the global financial crisis on the profit efficiency of Indian banks," Economic Modelling, Elsevier, vol. 58(C), pages 167-181.
    12. Zhenni Yang & Christopher Gan & Zhaohua Li, 2019. "Role of Bank Regulation on Bank Performance: Evidence from Asia-Pacific Commercial Banks," JRFM, MDPI, vol. 12(3), pages 1-25, August.
    13. Md. Abul Kalam Azad & Susila Munisamy & Abdul Kadar Muhammad Masum & Paolo Saona & Peter Wanke, 2017. "Bank efficiency in Malaysia: a use of malmquist meta-frontier analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 287-311, August.
    14. Varun Mahajan & D. K. Nauriyal & S. P. Singh, 2018. "Efficiency and Its Determinants: Panel Data Evidence from the Indian Pharmaceutical Industry," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(1), pages 19-40, February.
    15. Konara, Palitha & Tan, Yong & Johnes, Jill, 2019. "FDI and heterogeneity in bank efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 49(C), pages 100-113.
    16. Bitar, Mohammad & Pukthuanthong, Kuntara & Walker, Thomas, 2018. "The effect of capital ratios on the risk, efficiency and profitability of banks: Evidence from OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 227-262.
    17. 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.

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