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Operational Performance of Banks: Frontier-Based Data Envelopment Analysis with Undesirable Output

Author

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  • Preeti
  • Supriyo Roy

Abstract

The current banking scenario marks the rising level of non-performing loans (NPLs), which negatively impacts the operational performance of banks. There is a need for an operating performance model that integrates the NPLs into the measurement of operational efficiency to provide the overall performance profile for Indian banks. The study applies a non-radial data envelopment analysis model developed by Tone (2001) and incorporates NPLs as undesirable output. The study draws empirical insights on operational performance for Indian banks for a recent five-year period. With the adoption of the non-orientation approach of the developed model, the significant contribution of the study is related to mean factor efficiency analysis, which allows the identification of inefficient sources causing operational inefficiency within banks. The robustness test result throws light on efficiency differences between two ownership categories of banks. Implications of empirical findings suggest that the regulators devise measures to control the level of NPLs to help improve the operational efficiency of the Indian banking system.

Suggested Citation

  • Preeti & Supriyo Roy, 2026. "Operational Performance of Banks: Frontier-Based Data Envelopment Analysis with Undesirable Output," Vision, , vol. 30(1), pages 7-16, February.
    • Handle: RePEc:sae:vision:v:30:y:2026:i:1:p:7-16
    DOI: 10.1177/09722629221081903
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    References listed on IDEAS

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    1. Abdul Latif Alhassan & Michael Lawer Tetteh, 2017. "Non-Interest Income and Bank Efficiency in Ghana: A Two-Stage DEA Bootstrapping Approach," Journal of African Business, Taylor & Francis Journals, vol. 18(1), pages 124-142, January.
    2. Miller, Stephen M. & Noulas, Athanasios G., 1996. "The technical efficiency of large bank production," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 495-509, April.
    3. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.
    4. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February.
    5. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    6. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    7. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    8. Milivoje Davidovic & Ozren Uzelac & Vera Zelenovic, 2019. "Efficiency dynamics of the Croatian banking industry: DEA investigation," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 33-49, January.
    9. Kok Fong See & Yong He, 2015. "Determinants of Technical Efficiency in Chinese Banking: A Double Bootstrap Data Envelopment Analysis Approach," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 286-307, September.
    10. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    11. Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.
    12. Chih-Ching Yang, 2017. "Reduction of non-performing loans in the banking industry: an application of data envelopment analysis," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 833-851, September.
    13. 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.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    17. Fadzlan Sufian, 2016. "Determinants of Efficiency in the Malaysian Banking Sector: Evidence from Semi-parametric Data Envelopment Analysis Method," Studies in Microeconomics, , vol. 4(2), pages 151-172, December.
    18. K. Hafsal & Anandarao Suvvari & S. Raja Sethu Durai, 2020. "Efficiency of Indian banks with non-performing assets: evidence from two-stage network DEA," Future Business Journal, Springer, vol. 6(1), pages 1-9, December.
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