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Productive Efficiency and Non-performing Assets of Indian Banks in the Post-global Financial Crisis Period

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  • Karan Singh Khati
  • Deep Mukherjee

Abstract

This study endeavours to augment the existing literature on the productive efficiency of Indian domestic banks in the presence of non-performing assets (NPAs), by employing the Weighted Russell Directional Distance Model (WRDDM). Following the intermediation approach, the banking technology set includes three inputs, three desirable outputs and one undesirable output, namely NPAs. Due to their inherent technological heterogeneity, public sector banks (PSBs) and private banks (PVBs) have been analysed as separate groups. Balanced panels of 26 PSBs and 18 PVBs are constructed from 2010-2011 to 2016-2017. The results indicate a considerable scope of improvement in the productive performance of both categories of banks. The break-up of overall inefficiency into input- and output-specific components reveals some stimulating information. For PSBs, the inefficiencies primarily result due to physical capital, while for PVBs they emerge mainly from other incomes. However, NPAs are also a key contributor to inefficiency for both the categories of banks. The inefficiency scores also indicate that, across ownership categories, medium-sized banks are poorer performers than their smaller and larger counterparts. JEL: C14, C61, D24, G21

Suggested Citation

  • 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.
  • Handle: RePEc:sae:soueco:v:22:y:2021:i:2:p:186-204
    DOI: 10.1177/13915614211029072
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    References listed on IDEAS

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    1. Tzeremes, Nickolaos G., 2015. "Efficiency dynamics in Indian banking: A conditional directional distance approach," European Journal of Operational Research, Elsevier, vol. 240(3), pages 807-818.
    2. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    3. Abhiman Das & Subal C. Kumbhakar, 2016. "Markup and efficiency of Indian banks: an input distance function approach," Empirical Economics, Springer, vol. 51(4), pages 1689-1719, December.
    4. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    5. Dipasha Sharma & Anil K. Sharma & Mukesh K. Barua, 2013. "Efficiency and productivity of banking sector," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 5(2), pages 195-224, August.
    6. Barbara Casu & Alessandra Ferrari & Tianshu Zhao, 2013. "Regulatory Reform and Productivity Change in Indian Banking," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 1066-1077, July.
    7. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    8. Angelo Zago & Paola Dongili, 2011. "Credit quality and technical efficiency in banking," Empirical Economics, Springer, vol. 40(2), pages 537-558, April.
    9. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    10. 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.
    11. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    12. Pallavi Chavan & Leonardo Gambacorta, 2019. "Bank lending and loan quality: an emerging economy perspective," Empirical Economics, Springer, vol. 57(1), pages 1-29, July.
    13. Rosenkranz, Peter & Lee, Junkyu, 2019. "Nonperforming Loans in Asia: Determinants and Macrofinancial Linkages," ADB Economics Working Paper Series 574, Asian Development Bank.
    14. Hidemichi Fujii & Shunsuke Managi & Roman Matousek & Aarti Rughoo, 2018. "Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 135-156, January.
    15. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    16. Subhash Ray, 2007. "Are some Indian banks too large? An examination of size efficiency in Indian banking," Journal of Productivity Analysis, Springer, vol. 27(1), pages 41-56, February.
    17. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    18. 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.
    19. Dhananjaya Kadanda & Krishna Raj, 2018. "Non-performing assets (NPAs) and its determinants: a study of Indian public sector banks," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(2), pages 193-212, October.
    20. 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.
    21. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    22. Samaresh Bardhan & Vivekananda Mukherjee, 2016. "Bank-specific determinants of nonperforming assets of Indian banks," International Economics and Economic Policy, Springer, vol. 13(3), pages 483-498, July.
    23. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, July.
    24. 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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    More about this item

    Keywords

    Data envelopment analysis; Directional distance model; Non-radial; Public sector banks; Private banks;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • 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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