Abstract
Altering customer demands with augmented competitive pressures significantly change the operating environment of Indian banks. Being competitive, banks are continuously keeping themselves on a platform of performance as set by them. Traditional methods for evaluation of performance are not working properly due to different issues as floated in this sector. Considering all the above issues, performance measurement is very complex as well as critical in terms of banks long-term sustainability. This study adopts a non-traditional method of measuring performance via Data Envelopment Analysis; a frontier-based radial approach to measure performance between public and private sector banks for last five years (2015–2019). Using non-parametric test, this study also tests the hypothesis that ‘there exist no statistical efficiency differences between the public and private sector banks’. Analyses show a significant result that: no bank is found to be overall technically efficient with all banks scoring less than one, and the private sector banks is 1.5% more technically efficient than public sector banks. Most significantly, strong ownership effect is proofed to be significant on the performance of Indian banking system.
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Appendix
Appendix
No. | Full name | Code | No. | Full name | Code | No. | Full name | Code |
---|---|---|---|---|---|---|---|---|
1 | Allahabad Bank | ABB | 18 | Dhanlaxmi Bank Limited | DBL | 35 | Punjab National Bank | PNB |
2 | Andhra Bank | AB | 19 | Federal Bank Limited | FB | 36 | Pure Technical Efficiency | PTE |
3 | Axis Bank Limited | ABL | 20 | HDFC Bank Limited | HDFC | 37 | Public sector bank | PSB |
4 | Bank of Baroda | BoB | 21 | ICICI Bank Limited | ICICI | 38 | Private sector bank | PB |
5 | Bank of India | BoI | 22 | IDBI Bank Limited | IDBI | 39 | RBL Bank Limited | RBL |
6 | Bank of Maharashtra | BoM | 23 | Indian Bank | IB | 40 | Return to scale | RTS |
7 | Banker, Cooper and Rhodes | BCC | 24 | Indian Overseas Bank | IOB | 41 | Scale efficiency | SE |
8 | Canara Bank | CB | 25 | Indusind Bank Limited | IBL | 42 | South Indian Bank Limited | SIB |
9 | Catholic Syrian Bank Ltd. | CSB | 26 | Jammu & Kashmir Bank Ltd. | JKB | 43 | State Bank of India | SBI |
10 | Central Bank of India | CBI | 27 | Karnataka Bank Limited | KB | 44 | Syndicate Bank | SB |
11 | Charnes, Cooper and Rhodes | CCR | 28 | Karur Vysya Bank Ltd. | KVB | 45 | Tamilnad Mercantile Bank Ltd. | TMB |
12 | City Union Bank Ltd. | CUB | 29 | Kotak Mahindra Bank Limited | KMB | 46 | UCO Bank | UCO |
13 | Corporation Bank | CPB | 30 | Lakshmi Vilas Bank Ltd. | LVB | 47 | Union Bank of India | UB |
14 | Data Envelopment Analysis | DEA | 31 | Nainital Bank Limited | NB | 48 | United Bank of India | UBI |
15 | DCB Bank Limited | DCB | 32 | Oriental Bank of Commerce | OBC | 49 | Variable return to scale | VRS |
16 | Decision Making Unit | DMU | 33 | Overall Technical Efficiency | OTE | 50 | Vijaya Bank | VB |
17 | Dena Bank | DB | 34 | Punjab & Sind Bank | PS | 51 | YES Bank Limited | YES |
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Preeti, Roy, S., Kumar, K. (2020). Radial Data Envelopment Analysis Approach to Performance Measurement: Study on Indian Banking System. In: Kumar, K., Davim, J. (eds) Supply Chain Intelligence. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-46425-7_8
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