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Profit efficiency and determinants of Indian banks; A truncated bootstrap and data envelopment analysis

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  • Piyush Kumar Singh
  • Keyur Thaker
  • Vassilios Papavassiliou

Abstract

The study applies two-stage data envelopment analysis (DEA) and bootstrap to estimate the Profit Efficiency (PE) and its factors for Indian bank groups. Recognizing the heterogeneity in the bank sizes, we perform DEA to estimate PE for small, medium, and large banks across different ownership. The results show that large public, private, and foreign sector banks are more profit efficient than small and medium banks. Over the period, private banks showed the highest improvement in efficiency, followed by foreign banks while the efficiency of Public sector banks was highest in 2008 showed imporvement for next few years and declined moderately in 2012. In the second stage, we use both normal Tobit and methodogically superior truncated bootstrap regression to capture the exogenous factors affecting the PE. We find GDP growth rate and capital adequacy ratio were not significant, while return on assets, equity-to-asset ratio, size of the operation, number of branches, Herfindahl-Hirschman Index(HHI), and ownership structure are significant determinants of bank efficiency. The study contributes to the literature by introducing sample variation and bias in examining the determinants and comparison of efficiency scores across bank groups and using a more appropriate measure in Indian contest. The new findings have vital implications for the banking industry and resarchers.

Suggested Citation

  • Piyush Kumar Singh & Keyur Thaker & Vassilios Papavassiliou, 2020. "Profit efficiency and determinants of Indian banks; A truncated bootstrap and data envelopment analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1724242-172, January.
  • Handle: RePEc:taf:oaefxx:v:8:y:2020:i:1:p:1724242
    DOI: 10.1080/23322039.2020.1724242
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    Cited by:

    1. Warda Nadeem & Nadeem Iqbal & Hassan Hanif, 2022. "Assessing the Determinants of Efficiency: An Empirical Evidence from Developing Economy," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 71-80.
    2. Suzan Dsouza & Mustafa Raza Rabbani & Iqbal Thonse Hawaldar & Ajay Kumar Jain, 2022. "Impact of Bank Efficiency on the Profitability of the Banks in India: An Empirical Analysis Using Panel Data Approach," IJFS, MDPI, vol. 10(4), pages 1-18, October.
    3. Bijoy Rakshit & Samaresh Bardhan, 2022. "Does Bank Efficiency Enhance Bank Performance? Empirical Evidence From Indian Banking," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(Special I), pages 103-124, March.
    4. Riju Chaudhary & H. D. Arora, 2022. "Efficiency evaluation of public and nationalized Indian banks using data envelopment analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 469-478, February.

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