IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

A STUDY ON OPERATIONAL EFFICIENCY OF PUBLIC SECTOR BANKS IN INDIA: EVIDENCE FROM A TWO-STAGE DEA–TOBIT FRAMEWORK IN THE POST-CONSOLIDATION ERA

Sarthak Khandelwal

Dr. Dheeraj Daniel

Amity Business School Amity University Chhattisgarh

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Purpose. This study examines the operational efficiency of twelve Indian Public Sector Banks (PSBs) over the financial years 2020–2024—a period encompassing post-consolidation restructuring, the COVID-19 disruption, and accelerated regulatory reforms. It constitutes the first systematic efficiency assessment of the restructured PSB landscape following the landmark 2019–2020 bank mergers that reduced the number of state-owned banks from 27 to 12. Methodology. A two-stage analytical framework is employed. In Stage I, an input-oriented Banker-Charnes-Cooper (BCC) Data Envelopment Analysis (DEA) model under Variable Returns to Scale (VRS) is applied, using three inputs (total deposits, employee expenses, and fixed assets) and two outputs (total advances and investments) to generate bank-level efficiency scores. In Stage II, a Tobit regression model examines the influence of Return on Equity (ROE) and the Net Non-Performing Assets (NPA) ratio on these scores. Key Findings. The sector-wide mean efficiency score of 0.579 reveals a substantial—and largely persistent—gap from the best-practice frontier, implying an average input-reduction potential of approximately 42% without output loss. Efficiency is sharply bifurcated: Punjab & Sind Bank, SBI, and Union Bank consistently approximate frontier performance, while Canara Bank, Bank of Baroda, and Bank of India record deep and structurally entrenched inefficiencies. The Tobit estimates show that neither ROE nor the NPA ratio exerts statistically significant influence on efficiency in the study period, a finding attributed to compressed cross-sectional variation in NPA levels following RBI-mandated provisioning norms and government recapitalization. Contribution. The study provides the first post-merger, post-COVID empirical efficiency baseline for the restructured Indian public banking sector, demonstrating that consolidation has yielded uneven efficiency gains and that scale and managerial quality—rather than profitability or NPA metrics alone—remain the primary drivers of efficiency heterogeneity.

Keywords: Data Envelopment Analysis · Bank Efficiency · Tobit Regression · Non-Performing Assets · Public Sector Banks · India · Post-Merger Performance

How to Cite this Paper

Khandelwal, S. (2026). A Study on Operational Efficiency of Public Sector Banks in India: Evidence from a Two-Stage DEA–Tobit Framework in the Post-Consolidation Era. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.071

Khandelwal, Sarthak. "A Study on Operational Efficiency of Public Sector Banks in India: Evidence from a Two-Stage DEA–Tobit Framework in the Post-Consolidation Era." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.071.

Khandelwal, Sarthak. "A Study on Operational Efficiency of Public Sector Banks in India: Evidence from a Two-Stage DEA–Tobit Framework in the Post-Consolidation Era." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.071.

Search & Index

References

Arya, A., & Singh, S. (2021). A new robust network slack-based measure model. arXiv preprint arXiv:2110.11042v1.

Aysan, A. F., & Ceyhan, S. P. (2008). What determines the banking sector performance in globalized financial markets? The case of Turkey. Physica A: Statistical Mechanics and its Applications, 387(7), 1593–1602.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078–1092.

Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98(2), 175–212.

Bhattacharyya, A., Lovell, C. A. K., & Sahay, P. (1997). The impact of liberalization on the productive efficiency of Indian commercial banks. European Journal of Operational Research, 98(2), 332–345.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444.

Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer.

Dwivedi, A. K., & Charyulu, D. K. (2011). Efficiency of Indian banking industry in the post-reform era. Indian Institute of Management Ahmedabad Working Paper No. 2011-03-01.

Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, 120(3), 253–290.

Fethi, M. D., & Pasiouras, F. (2010). Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research, 204(2), 189–198.

Hafsal, K., Suvvari, A., & Durai, S. R. S. (2020). Efficiency of Indian banks with non-performing assets: Evidence from two-stage network DEA. Future Business Journal, 6(1), 1–9.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 04 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top