IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i2d10.1007_s11135-024-02042-1.html
   My bibliography  Save this article

Ownership structure and bank efficiency in India: new evidence from a meta-frontier approach

Author

Listed:
  • Adwitiya Gupta

    (Indian Institute of Management Raipur)

  • Rashmi Shukla

    (Indian Institute of Management Raipur)

  • Rudra Sensarma

    (Indian Institute of Management Kozhikode)

Abstract

This study examines the cost efficiency of Indian commercial banks from 2005 to 2023, focusing on different ownership groups using stochastic meta-frontier analysis to determine whether a common or ownership-specific frontier exists within the economy. By spanning a sample period of nearly two decades, the study offers valuable insights into the long-term trends in cost efficiency. The results highlight the importance of meta-frontier analysis for accurately assessing bank efficiency, considering the distinct technologies utilised by different ownership groups. Additionally, the efficiency scores obtained from the common and ownership frontier tended to be overestimated. Our results provide compelling evidence that Indian banks operate with distinct technologies and operate within separate frontiers. Public-sector banks exhibited the highest meta cost efficiency, while foreign banks demonstrated the lowest. No clear efficiency trend emerged over time, and the Cost Gap Ratio analysis indicates that public-sector banks showed greater innovation in cost minimization. There was limited evidence of convergence across ownership groups. Among the determinants of efficiency, significant factors included the repo rate, size, ROE, NPA, and bank age.

Suggested Citation

  • Adwitiya Gupta & Rashmi Shukla & Rudra Sensarma, 2025. "Ownership structure and bank efficiency in India: new evidence from a meta-frontier approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 1713-1737, April.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02042-1
    DOI: 10.1007/s11135-024-02042-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-02042-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-024-02042-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aditi Bhattacharyya & Sudeshna Pal, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, John Wiley & Sons, vol. 22(3), pages 109-117, September.
    2. Bos, Jaap W.B. & Kolari, James W. & van Lamoen, Ryan C.R., 2013. "Competition and innovation: Evidence from financial services," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1590-1601.
    3. Berger, Allen N. & Klapper, Leora F. & Martinez Peria, Maria Soledad & Zaidi, Rida, 2008. "Bank ownership type and banking relationships," Journal of Financial Intermediation, Elsevier, vol. 17(1), pages 37-62, January.
    4. 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.
    5. Lee, Chi-Chuan & Li, Xinrui & Yu, Chin-Hsien & Zhao, Jinsong, 2021. "Does fintech innovation improve bank efficiency? Evidence from China’s banking industry," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 468-483.
    6. 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.
    7. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    8. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    9. Bhattacharyya, Aditi & Pal, Sudeshna, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, Elsevier, vol. 22(3), pages 109-117.
    10. Bhaumik, Sumon Kumar & Piesse, Jenifer, 2008. "Does lending behaviour of banks in emerging economies vary by ownership? Evidence from the Indian banking sector," Economic Systems, Elsevier, vol. 32(2), pages 177-196, June.
    11. 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.
    12. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    13. Abhilash S. Nair & R Vinod, 2019. "Determinants of the allocative, cost and scope efficiencies of Indian banks," Applied Economics, Taylor & Francis Journals, vol. 51(5), pages 509-527, January.
    14. K. R. Shanmugam & A. Das, 2004. "Efficiency of Indian commercial banks during the reform period," Applied Financial Economics, Taylor & Francis Journals, vol. 14(9), pages 681-686.
    15. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    16. Abul Shamsuddin & Dong Xiang, 2012. "Does bank efficiency matter? Market value relevance of bank efficiency in Australia," Applied Economics, Taylor & Francis Journals, vol. 44(27), pages 3563-3572, September.
    17. 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.
    18. repec:eme:mfppss:v:41:y:2015:i:5:p:507-525 is not listed on IDEAS
    19. Rudra Sensarma, 2008. "Deregulation, ownership and profit performance of banks: evidence from India," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1581-1595.
    20. Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
    21. Bos, J.W.B. & Schmiedel, H., 2007. "Is there a single frontier in a single European banking market?," Journal of Banking & Finance, Elsevier, vol. 31(7), pages 2081-2102, July.
    22. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    23. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Mostak Ahamed, M., 2017. "Asset quality, non-interest income, and bank profitability: Evidence from Indian banks," Economic Modelling, Elsevier, vol. 63(C), pages 1-14.
    3. Thanh Pham Thien Nguyen & Son Hong Nghiem & Eduardo Roca & Parmendra Sharma, 2016. "Efficiency, innovation and competition: evidence from Vietnam, China and India," Empirical Economics, Springer, vol. 51(3), pages 1235-1259, November.
    4. 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.
    5. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    6. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2018. "Measures of Labor Use Efficiency from a Cost-Based Dual Representation of the Technology: A Study of Indian Bank Branches," Working papers 2018-17, University of Connecticut, Department of Economics.
    7. Mohamed Chaffai & M. Kabir Hassan, 2019. "Technology Gap and Managerial Efficiency: A Comparison between Islamic and Conventional Banks in MENA," Journal of Productivity Analysis, Springer, vol. 51(1), pages 39-53, February.
    8. Safiullah, Md & Shamsuddin, Abul, 2019. "Risk-adjusted efficiency and corporate governance: Evidence from Islamic and conventional banks," Journal of Corporate Finance, Elsevier, vol. 55(C), pages 105-140.
    9. Phuc Trong Ho & Pham Xuan Hung & Nguyen Duc Tien, 2023. "Effects of varieties and seasons on cost efficiency in rice farming: A stochastic metafrontier approach," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 13(2), pages 120-129.
    10. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    11. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    12. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
    13. Bos, Jaap W.B. & Kolari, James W. & van Lamoen, Ryan C.R., 2013. "Competition and innovation: Evidence from financial services," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1590-1601.
    14. Nguyen, Thanh & Nghiem, Son & Bhati, Abhishek Singh, 2024. "Risk-adjusted efficiency and innovation: an examination of systematic difference and convergence among BRIC banks," Economic Systems, Elsevier, vol. 48(1).
    15. Kerstens, Kristiaan & O’Donnell, Christopher & Van de Woestyne, Ignace, 2019. "Metatechnology frontier and convexity: A restatement," European Journal of Operational Research, Elsevier, vol. 275(2), pages 780-792.
    16. John N. Ng’ombe, 2017. "Technical efficiency of smallholder maize production in Zambia: a stochastic meta-frontier approach," Agrekon, Taylor & Francis Journals, vol. 56(4), pages 347-365, October.
    17. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    18. Khanal, Uttam & Wilson, Clevo & Shankar, Sriram & Hoang, Viet-Ngu & Lee, Boon, 2018. "Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions," Land Use Policy, Elsevier, vol. 76(C), pages 645-653.
    19. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    20. Asravor, Jacob & Wiredu, Alexander Nimo & Zeller, Manfred, 2024. "Does integrating improved seeds with agronomic practices enhance farm performance? Evidence from rural Mozambique," 2024 Annual Meeting, July 28-30, New Orleans, LA 344063, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Banking; Ownership groups; Cost efficiency; Stochastic meta-frontier; Cost gap ratio;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • 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
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-02042-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.