Assessing banks efficiency: DEA implementation

Authors

  • Milica Inđić University of Novi Sad, Faculty of Economics in Subotica, Serbia
  • Aleksandra Marcikić Horvat University of Novi Sad, Faculty of Economics in Subotica, Serbia
  • Milos Pjanić University of Novi Sad, Faculty of Economics Subotica, Serbia

DOI:

https://doi.org/10.71159/bizinfo250003I

Keywords:

Intermediary approach, operating approach, profitability approach, technical efficiency, scale efficiency, Serbian Banking Sector

Abstract

By examining intermediate, operating, and profitability aspects, this paper aims to construct a performance model for evaluating the relative efficiency and potential for improvement of 20 banks operating in Serbia for the 2022-2023 period. Data Envelopment Analysis (DEA), which belongs to relatively new data-oriented techniques, was used in the research to measure efficiency. To achieve its goals, the paper makes use of the CCR and BCC, two fundamental DEA models, and three approaches: intermediary, operating and profitability. The results of the analysis showed that the highest efficiency can be attributed o the use of the intermediate approach, while the lowest efficiency of banks can be attributed to the profitability approach. Additionally, the BCC model has higher efficiency compared to the CCR model. According to the analysis results, efficiency has generally grown and is comparatively stable.

Downloads

Download data is not yet available.

References

Ahn, H., Afsharian, M., Emrouznejad, A., & Banker, R. (2018). Recent developments on the use of DEA in the public sector. Socio-Economic Planning Sciences, 61, 1-3. https://doi.org/10.1016/j.seps.2017.06.001

Amado, C.A.F., Santos, S.P., & Marques, P.M. (2012). Integrating the data envelopment analysis and the balanced scorecard approaches for enhanced performance assessment. Omega, 40(3), 390-403. https://doi.org/10.1016/j.omega.2011.06.006

Banker, R.D., Amirteimoori, A., & Sinha, R.P. (2022). An integrated Data Envelopment Analysis and generalized additive model for assessing managerial ability with application to the insurance industry. Decision Analytics Journal, 4, 100115. https://doi.org/10.1016/j.dajour.2022.100115

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), 1031-1142. https://doi.org/10.1287/mnsc.30.9.1078

Beccalli, E., Casu, B., & Girardone, C. (2006). Efficiency and stock performance in European banking, Journal of Business Finance & Accounting, 33(1–2), 245–262. http://dx.doi.org/10.1111/j.1468-5957.2006.01362.x

Berger, A., & Humphrey, D. (1997). Efficiency of Financial Institutions: International Survey and Directions for Future Research. European Journal of Operational Research, 98(2), 175-212. http://dx.doi.org/10.1016/S0377-2217(96)00342-6

Boďa, M., & Zimková, E. (2015). Efficiency in the Slovak banking industry: a comparison of three approaches. Prague Economic Papers, 2015(4), 434-451. https://doi.org/10.18267/j.pep.546

Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8

Coelli, T., Rao, D.S., & Battese, G.E. (1998). An introduction to efficiency and productivity analysis. NY: Springer. http://dx.doi.org/10.1007/978-1-4615-5493-6

Cova-Alonso, D.J., Díaz-Hernández, J.J., & Martínez-Budría, E. (2021). A strong efficiency measure for CCR/BCC models. European Journal of Operational Research, 291(1), 284-295. https://doi.org/10.1016/j.ejor.2020.09.006

Emrouznejad, A., & Yang, G.-l. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4-8. https://doi.org/10.1016/j.seps.2017.01.008

Eriņa, J., & Eriņš, I.(2013). Efficiency of the Latvian commercial banking system: a DEA model evaluation, In 18th International Scientific Conference “Economics and Management – 2013”, 24–26 April 2013, Kaunas, Lithuania.

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. http://dx.doi.org/10.1016/j.ejor.2009.08.003

Heffernan, S. (2005). Modern Banking. Chichester: John Wiley & Sons, Ltd.

Lampe, H.W., & Hilgers, D. (2015). Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA. European Journal of Operational Research, 240, 1–21. http://dx.doi.org/10.1016/j.ejor.2014.04.041

Lukić, R., Sokić, M., & Vojteski Kljenak, D. (2020). Analysis of insurance companies’ efficiency in the Republic of Serbia. Economic and Environmental Studies, 18(1 (45), 249–264. https://doi.org/10.25167/ees.2018.45.14

Marcikić Horvat, A., Milenković, N., Radovanov, B., Zelenović , V., & Milić, D. (2022a). DEA efficiency of Serbian banks-comparison of three approach. Анали Економског факултетa у Суботици – The Annals of the Faculty of Economics in Subotica, 59(50), 019-035. http://dx.doi.org/10.5937/AnEkSub2200011M

Marcikić Horvat A., Radovanov B., Milić D., Milenković N. (2022b). Efficiency Analysis of Serbian Banking Sector Using Data Envelopment Analysis – Pre-pandemic era. Journal .of Economics, Management and Informatics BizInfo (Blace), 13(2), 41-47. https://doi.org/10.5937bizinfo/220201M

McAllister, P.H., & McMaus, D. (1993). Resolving the scale efficiency puzzle in banking. Journal of Banking and Finance, 17, 389-405. http://dx.doi.org/10.1016/0378-4266(93)90039-G

Milenković, N., Radovanov, B., Kalaš, B., & Horvat, A.M. (2022). External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries. Sustainability, 14(2), 978. https://doi.org/10.3390/su14020978

Nigmonov, A. (2010). Bank performance and efficiency in Uzbekistan. Eurasian Journal of Business and Economics, 3(5): 1-25.

Nourani, M., Malim, N.A.K., & Mia, M.A. (2021). Revisiting efficiency of microfinance institutions (MFIs): an application of network data envelopment analysis. Economic Research-Ekonomska Istraživanja, 34:1, 1146-1169. https://doi.org/10.1080/1331677X.2020.1819853

Pai, P., Khan, B.M., & Kachwala, T. (2020). Data Envelopment Analysis - Is BCC model better than CCR model? Case of Indian Life Insurance companies. NMIMS Management Review, XXXVIII(1), 17-35.

Raj,K.K., Srinivasan, S., & Nandakumar, C.D. (2023). Efficiency analysis of reinsurers in India: a three stage fuzzy closed system DEA approach. OPSEARCH, 60, 1179–1201. https://doi.org/10.1007/s12597-023-00651-2

Sealey, C.W., & Lindley, J.T. (1977). Inputs, outputs, and a theory of production and cost at depository financial institutions, The Journal of Finance, 32(4), 1251–1266. http://dx.doi.org/10.1111/j.1540-6261.1977.tb03324.x

Shahooth, K., & Battall, A.H. (2006). Using data envelopment analysis to measure cost efficiency with an application on Islamic banks. Scientific Journal of Administrative Development, 4, 134-156.

Singh, G., Singh, P., & Munisamy, S. (2008). A cross country comparison of banking efficiency: Asia Pacific banks. International Review of Business Research Papers, 4(3): 73–95.

Thagunna, K.S., & Poudel, S. (2013). Measuring Bank Performance of Nepali Banks: A Data Envelopment Analysis (DEA) Perspective. International Journal of Economics and Financial Issues, 3(1), 54-65.

Titko, J., Stankevičienė, J., & Lāce, N. (2014). Measuring Bank Efficiency: DEA Application. Technological and Economic Development of Economy, 20(4), 739-757. https://doi.org/10.3846/20294913.2014.984255

Toloo, M., & Nalchigar, S. (2009). A new integrated DEA model for finding most BCC-efficient DMU. Applied Mathematical Modelling, 33(1), 597-604. https://doi.org/10.1016/j.apm.2008.02.001

Ullah, S., Majeed, A., & Popp, J. (2023). Determinants of bank’s efficiency in an emerging economy: A data envelopment analysis approach. PLoS ONE, 18(3), e0281663. https://doi.org/10.1371/journal.pone.0281663

Wang, K., Huang, W., Wu, J., & Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5-20. https://doi.org/10.1016/j.omega.2013.09.005

Wheelock, D.C., & Wilson, P. (1995). Why do banks disappear: the determinants of bank failures and acquisitions, The Review of Economics and Statistics, 82, 127-138. http://dx.doi.org/10.1162/0034

Yue, P. (1992). Data Envelopment Analysis and Commercial Bank Performance: A Primer with Missouri Banks. Federal Reserve Bank of St. Louis Review, 74, 31-45.

Zhou, Z., Amowine, N., & Huang, D. (2018). Quantitative efficiency assessment based on the dynamic slack-based network data envelopment analysis for commercial banks in Ghana. South African Journal of Economic and Management Sciences, 21(1), a1717. https://doi.org/10.4102/sajems.v21i1.1717

Downloads

Published

2025-02-02

How to Cite

Inđić, M., Marcikić Horvat, A., & Pjanić, M. (2025). Assessing banks efficiency: DEA implementation. BizInfo Blace, 16(1), 21-30. https://doi.org/10.71159/bizinfo250003I

Similar Articles

1-10 of 122

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)