Purpose
The purpose of this paper is to measure and evaluate the performance efficiency of 44 Indian commercial banks, out of which 26 banks belong to the public sector, and 18 banks are from the private sector for the period of 2008-2013.
Design/methodology/approach
The two-stage network data envelopment analysis (DEA) approach (i.e. variable return to scale and constant return to scale) is used for the measurement of performance in the Indian banking sector. To verify the robustness of the proposed study, sensitivity analysis is also performed.
Findings
A comparative study between public sector banks (PSBs) and private sector banks (PVBs) showed that latter being more productive compared to the former. The investigation highlighted that two banks are most efficient among the PSBs, and eight banks from PVBs are found to be most effective. On the other side, the performance of State Bank of Bikaner & Jaipur and Lakshmi Vilas Bank is discovered to be less significant from PSB and PVB category, respectively.
Research limitations/implications
This study will guide the Indian banks to improve upon the factors in which they are lagging, for the improvement of their overall performance. The quality category parameters, i.e. quality of service, quality of equipment, are not considered due to unavailability of information in the output measures, and the methodology used for the study does not identify the causes or remedies for the inefficiency of the banks.
Originality/value
The developed DEA model would help the decision maker to take decisions on the issues related to the performance of the banks. This paper discusses very practical issues in an analytic manner.