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Evaluating the performance of indian banking sector using DEA during post-reform and global financial crisis

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  • Mukesh Kumar
  • Vincent Charles
  • Chandra Sekhar Mishra

Abstract

The purpose of the study is to examine the performance of Indian banking sector in terms of efficiency, returns to scale, and total factor productivity change. The technique of data envelopment analysis is applied due to its flexibility to incorporate multiple inputs and multiple outputs without any underlying assumption on the functional form. There is growing tendency of public sector banks operating under increasing returns to scale, implying that substantial gains could be obtained from altering scale via either internal growth or consolidation in the sector. In terms of productivity, the results show a positive change in both the sectors due to technological change, possibly as a result of adoption of latest technology and new business practices in post reform period. However, there is an evidence of shrink in the market and negative growth in productivity in both the sectors during the period of global financial crisis. The main contribution of the paper is to empirically provide the evidences to resolve the debate if the global financial crisis had any impact on the performance of banking sector in India.

Suggested Citation

  • Mukesh Kumar & Vincent Charles & Chandra Sekhar Mishra, 2016. "Evaluating the performance of indian banking sector using DEA during post-reform and global financial crisis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(1), pages 156-172, February.
  • Handle: RePEc:taf:jbemgt:v:17:y:2016:i:1:p:156-172
    DOI: 10.3846/16111699.2013.809785
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    References listed on IDEAS

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    1. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
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    Cited by:

    1. Zaman, Mohammad Shahid & Valiyattoor, Vipin & Bhandari, Anup Kumar, 2022. "Dynamics of total factor productivity growth: An empirical analysis of Indian commercial banks," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    2. Shakeb Akhtar & Mahfooz Alam & Aslam Khan & Mohd Shamshad, 2023. "Measuring technical efficiency of banks vis-à-vis demonetization: an empirical analysis of Indian banking sector using CAMELS framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1739-1761, April.
    3. Kiemo, Samuel & Kamau, Anne, 2020. "Banking sector competition and intermediation efficiency in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 42, Kenya Bankers Association (KBA).
    4. Rachita Gulati & Nirmal Singh, 2019. "Analysing bank stability in India: Evidence from 2007/08-2016/17," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-7.
    5. 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.
    6. Cândida Ferreira, 2020. "Evaluating European Bank Efficiency Using Data Envelopment Analysis: Evidence in the Aftermath of the Recent Financial Crisis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 26(4), pages 391-405, November.
    7. 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).
    8. Kishore Kumar & Ajai Prakash, 2019. "Examination of sustainability reporting practices in Indian banking sector," Asian Journal of Sustainability and Social Responsibility, Springer, vol. 4(1), pages 1-16, December.
    9. Ather Hassan Dar & Somesh Kumar Mathur & Sila Mishra, 2021. "The Efficiency of Indian Banks: A DEA, Malmquist and SFA Analysis with Bad Output," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 653-701, December.
    10. Jalaludeen Navas & Periyasamy Dhanavanthan & Daniel Lazar, 2020. "How Efficient Are Indian Banks in Managing the Risk-Return Trade-Off? An Empirical Analysis," Risks, MDPI, vol. 8(4), pages 1-13, December.
    11. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.

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