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Impact of NPA and loan write-offs on the profit efficiency of Indian banks

Author

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  • A. R. Jayaraman

    (Reserve Bank of India)

  • Pradip Bhuyan

    (Reserve Bank of India)

Abstract

In recent years, Indian banks witnessed a huge increase in gross non-performing assets and loan write-offs. In this paper, impact of these two undesirable outputs has been examined on the profit efficiency of the banks using Nerlovian approach, which perhaps is a novel attempt in Indian context. It is found that inclusion of these two undesirable outputs has a significant impact on the profit efficiency of the Indian banks vis-à-vis their non-inclusion, and it is more evident from sharp decline in the profit efficiency of these banks. Also, it is observed that the allocative inefficiency of the banks was the main cause for their profit inefficiency. Further, loan write-offs should not be merely viewed as cleaning of the balance sheet of the banks as it has a noticeable impact on their profit efficiency.

Suggested Citation

  • A. R. Jayaraman & Pradip Bhuyan, 2020. "Impact of NPA and loan write-offs on the profit efficiency of Indian banks," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(1), pages 35-48, March.
  • Handle: RePEc:spr:decisn:v:47:y:2020:i:1:d:10.1007_s40622-020-00235-9
    DOI: 10.1007/s40622-020-00235-9
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    References listed on IDEAS

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    1. A.R. Jayaraman & M.R. Srinivasan & R. Arunachalam, 2014. "Impact of merger and acquisition on the efficiency of Indian banks: a pre-post analysis using data envelopment analysis," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 7(1), pages 1-18.
    2. Ghosh, Saibal, 2009. "Financial Deregulation and Profit Efficiency: A Non-parametric Analysis of Indian Banks," MPRA Paper 24292, University Library of Munich, Germany.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Joana Resende & Elvira Silva, 2007. "A Profit Efficiency Perspective on the Future Strategic Positioning of the Portuguese Banks," CEF.UP Working Papers 0702, Universidade do Porto, Faculdade de Economia do Porto.
    5. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    6. Fukuyama, Hirofumi & Matousek, Roman, 2018. "Nerlovian revenue inefficiency in a bank production context: Evidence from Shinkin banks," European Journal of Operational Research, Elsevier, vol. 271(1), pages 317-330.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Rolf Fare & Shawna Grosskopf & William Weber, 2004. "The effect of risk-based capital requirements on profit efficiency in banking," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1731-1743.
    9. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    10. 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.
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    Cited by:

    1. Karan Singh Khati & Deep Mukherjee, 2021. "Productive Efficiency and Non-performing Assets of Indian Banks in the Post-global Financial Crisis Period," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 22(2), pages 186-204, September.
    2. 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).
    3. 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.
    4. Swati Singh & Manpreet Arora, 2023. "Examining and analysing the determinants of non-performing assets in public and private sector banks in India," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 25(4), pages 553-568.

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    More about this item

    Keywords

    Banking; Profit efficiency; Nerlovian approach; Directional distance function; Undesirable outputs; Non-performing assets; Write-off;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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