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Dynamics of total factor productivity growth: An empirical analysis of Indian commercial banks

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  • Zaman, Mohammad Shahid
  • Valiyattoor, Vipin
  • Bhandari, Anup Kumar

Abstract

This paper investigates the total factor productivity (TFP) change scenario among Indian commercial banks during 1998–2017. We measure the change in the Malmquist TFP index and decompose this into technological, efficiency, and scale change components using data envelopment analysis (DEA). Further, the bootstrap-based Simar and Wilson (2007) procedure is applied to correct the bias from the conventional DEA estimates. We also explain the variations in TFP estimates using a set of bank-specific and macroeconomic variables with a system-generalised method of moments and bias-corrected fixed-effects models. Our results show an improvement in TFP among Indian commercial banks– with growth relatively higher during the pre-crisis than in the post-crisis period. The productivity gains are driven mainly by technological progress rather than efficiency improvements. Amongst different ownership categories, foreign-owned banks achieve the highest overall productivity gains, followed by the domestic privately owned and state-owned banks. Finally, our TFP regression results show that return on assets, diversification, GDP per capita, Herfindahl–Hirschman Index, and inflation are the main variables responsible for driving these total factor productivity differences.

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  • 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).
  • Handle: RePEc:eee:joecas:v:26:y:2022:i:c:s1703494922000287
    DOI: 10.1016/j.jeca.2022.e00268
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    More about this item

    Keywords

    Total factor productivity; Data envelopment analysis; Malmquist productivity index; Indian banks;
    All these keywords.

    JEL classification:

    • 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
    • G2 - Financial Economics - - Financial Institutions and Services

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