Efficiency assessment of banking systems’ performance
-
DOIhttp://dx.doi.org/10.21511/bbs.17(3).2022.07
-
Article InfoVolume 17 2022, Issue #3, pp. 72-88
- Cited by
- 542 Views
-
216 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Globalization processes define the modern trends in world economic development, including both international financial markets and the banking systems of different countries. The study aims to evaluate the efficiency of the banking systems of Ukraine and 17 European countries in order to choose the appropriate measures, concerning its increasing. The Data Envelopment Analysis (DEA) was chosen as a tool for evaluating the efficiency of the banking systems; the calculations were made using the Banxia Frontier Analyst software. Also, the BBC and CCR models of linear programming were used to define the existing relationship between the studied indicators. As a result of the study, the groups of efficient and inefficient banking systems were identified, which allowed determining the existing reserves, possible managerial tools and decisions for improving the inefficient banking systems’ performance. Besides, graphical interpretation of the current position (rank) of certain country bank system in relation to other countries’ banking systems was presented. The developed approach is aimed at improving bank management at the macro level and enhancing the efficiency of banking systems.
- Keywords
-
JEL Classification (Paper profile tab)G21, G28, M10
-
References40
-
Tables3
-
Figures14
-
- Figure 1. Scree plot based on principal component analysis results
- Figure 2. Input of basic data for assessing the efficiency of the banking sector in Europe and Ukraine as of 2020
- Figure 3. Window for selecting for building an input-oriented BCC model and the output-oriented CCR model
- Figure 4. Functioning efficiency of banking systems of 17 European countries and Ukraine as of 2020, calculated using the DEA BCC model
- Figure 5. Distribution graph of assessing the efficiency of banking systems of 17 European countries and Ukraine as of 2020 for the DEA BCC model
- Figure 6. Potential for improving the efficiency of banking systems in 17 European countries and Ukraine as of 2020 for the DEA BCC model
- Figure 7. Efficiency of banking systems in 17 European countries and Ukraine as of 2020 calculated based on the DEA CCR model
- Figure 8. Distribution of assessments of the banking system’s effectiveness in 17 European countries and Ukraine as of 2020 for the DEA CCR model
- Figure 9. Potential for improving the efficiency of banking systems in 17 European countries and Ukraine as of 2020 for the DEA CCA model
- Figure C1. Analysis of the results and potential for improving the efficiency of the French banking system as of 2020 for the BCC model
- Figure C2. Analysis of the results and potential for improving the efficiency of the banking system of the Slovak Republic as of 2020 for the BCC model
- Figure C3. Analysis of the results and potential for improving the efficiency of the Portuguese banking system as of 2020 for the BCC model
- Figure C4. Analysis of the results and potential for improving the efficiency of the Finnish banking system as of 2020 for the BCC model
- Figure C5. Analysis of the results and potential for improving the efficiency of the Spanish banking system as of 2020 for the BCC model
-
- Table A1. Factors of influence on the efficiency of the Ukrainian banking system for 2000–2020
- Table B1. Data for calculations based on the DEA method in the European countries as of 2020
- Table D1. Efficiency upside potential of banks for some European countries, calculated based on the BCC model and the CCR model of DEA
-
- 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.
- Buriak, A., Lyeonov, S., & Vasylieva, T. (2015). Systemically important domestic banks: An indicator-based measurement approach for the Ukrainian banking system. Prague Economic Papers, 24(6), 715-728.
- Chami, R., & Cosimano, T. F. (2010). Monetary policy with a touch of Basel. Journal of Economics and Business, 62(3), 161-175.
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444.
- Chen, Y., Cook, W. D., & Zhu, J. (2010). Deriving the DEA frontier for two-stage processes. European Journal of Operational Research, 202(1), 138-142.
- Cvilikas A., & Jurkonyte-Dumbliauskiene, E. (2016) Assessment of risk management economic efficiency applying economic logistic theory. Transformations in Business & Economics, 15(3), 42-59.
- Danylyshyn, B., & Bohdan, I. (2022). Monetary policy during the wartime: How to ensure macroeconomic stability. Investment Management and Financial Innovations, 19(2), 344-359.
- Danylyshyn, B., Dubyna, M., Zabashtanskyi, M., Ostrovska, N., Blishchuk, K., & Kozak, I. (2021). Innovative Instruments of Monetary and Fiscal Policy. Universal Journal of Accounting and Finance, 9(6), 1213-1221.
- Dao, B. T. T., & Nguyen, D. P. (2020). Determinants of profitability in commercial banks in Vietnam, Malaysia, and Thailand. Journal of Asian Finance, Economics, and Business, 7(4), 133-143.
- Drucker, P. F. (1963). Managing for business effectiveness. Boston, MA: Harvard University. Graduate school of business administration.
- Edgeworth, F. Y. (1881). Mathematical Psychics: An Essay of the Application of Mathematics to Moral Sciences. London: Kegan Pau.
- Erdkhadifa, R., & Himmati, R. (2022). Data Envelopment Analysis Approach for Efficiency Comparison of Banking System. Enrichment: Journal of Management, 12(2), 1584-1592.
- Haralayya, B. (2021). Core banking technology and its top 6 implementation challenges. Journal of Advanced Research in Operational and Marketing Management, 4(1), 25-27.
- Henriques, I. C., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2018). Efficiency in the Brazilian banking system using data envelopment analysis. Future Business Journal, 4(2), 157-178.
- Irawati, N., Maksum, A., Sadalia, I., & Muda, I. (2019). Financial performance of Indonesian banking industry: the role of good corporate governance, capital adequacy ratio, non-performing loan, and size. International Journal of Scientific and Technology Research, 8(4), 22-26.
- Jaouadi, S., & Zorgui, I. (2014) Exploring Effectiveness and Efficiency of Banks in Switzerland. International Journal of Academic Research in Business and Social Sciences, 4(4), 313-325.
- Koziuk, V. (2017). Transformation of Bank Capital Regulation in Ukraine: the Role of Institutional Distortions. Financial Markets, Institutions and Risks, 1(4), 16-23.
- Kozmenko, S. М., Korneyev, M. V., & Makedon, V. V. (2014). Financialisation of economy and its influence on the indicators of countries’ socioeconomic development. Aktualni problemy ekonomiky – Actual problems of economics, 161(11), 290-298. (In Ukrainian).
- Kozmenko, S., & Belova, I. (2015). Peculiarities of identification of systemically important banks and assessment of their impact of the occurrence of economic crisis. Banks and Bank Systems, 10(3), 39-48.
- Kozmenko, S., & Vasyl’yeva, T. (2008). Specialized innovative investment banks in Ukraine. Banks and Bank Systems, 3(1), 48-56.
- Kuzmenko, O. V., & Koibichuk, V. V. (2018). Econometric Modeling of the Influence of Relevant Indicators of Gender Policy on the Efficiency of a Banking System. Cybernetics and Systems Analysis, 54, 687-695.
- Law, S.-W. (2021). Financial Inclusion and Virtual Bank in the Era of Digitalisation: A Regulatory Case Study in Hong Kong. SocioEconomic Challenges, 5(3), 81-91.
- Leonov, S., Frolov, S., & Plastun, V. (2014). Potential of institutional investors and stock market development as an alternative to households’ savings allocation in banks. Economic Annals-XXI, 11-12, 65-68.
- Luong, T. M. N., & Nguyen, P. A. (2021). Optimal capital adequacy ratios for commercial banks: Empirical evidence from Vietnam. The Journal of Asian Finance, Economics and Business, 8(10), 47-56.
- Morozova, N. L., Pasechnik, I. V., Malafeyev, T. R., Galushko, Y. P., & Goikhman, M. I. (2019). Assessment of capital concentration impact on the banking system efficiency under modern transformation. Financial and Credit Activity Problems of Theory and Practice, 2(29), 55-65.
- Mursalov, M. (2020). Banking regulations and country’s innovative development: the mediating role of financial development. Marketing and Management of Innovations, 4, 168-180.
- Nguyen, P. A., Tran, B. L., & Simioni, M. (2021). Optimal capital adequacy ratio: An investigation of Vietnamese commercial banks using two-stage DEA. Cogent Business and Management, 8(1), 1870796.
- Pareto, V. (1927). Manuel d’économie politique (695 p.). Marcel Giard.
- Pimonenko, T., Radchenko, O., & Palienko, M. (2017). Еfficiency of marketing communications in banks. Business Ethics and Leadership, 1(2), 55-61.
- Polyakov, M., Bilozubenko, V., Nebaba, N., Korneyev, M., & Saihak, Y. (2020). Analysis of asymmetry factors in the development of the EU tourism industry. Innovative Marketing, 16(4), 117-128.
- Prokopenko, O., Shcherbachenko, V., & Kulibaba, V. (2020). Health care anti-crisis management issues in the reality of the covid-19 pandemic. Health Economics and Management Review, 1(2), 16-23.
- Rekunenko, I., Zhuravka, F., Nebaba, N., Levkovych, O., & Chorna, S. (2022). Assessment and forecasting of Ukraine’s financial security: Choice of alternatives. Problems and Perspectives in Management, 20(2), 117-134.
- Sealey, C. W., & Lindley, J. T. (1977). Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions. Journal of Finance, 32(4), 1251-1266.
- Shephard, R. (1953). Cost and Production Functions. Princeton: Princeton University Press.
- Sherman, H. D., & Gold, F. (1985). Bank Branch Operating Efficiency. Evaluation with Data Envelopment Analysis. Journal of Banking and Finance, 9(2), 297-315.
- Svitalkova, Z. (2014). Comparison and evaluation of bank efficiency in selected countries in EU. Procedia Economics and Finance, 12(1), 644-653.
- Tsegaye, A. (2018). The impact of interest rate spread on the banking system efficiency in South Africa. Cogent Economics & Finance, 6(1), 1546417.
- Wanke, P., Barros, C. P., & Emrouznejad, A. (2016). Assessing productive efficiency of banks using integrated fuzzy-DEA and bootstrapping: a case of Mozambican banks. European Journal of Operational Research, 249(1), 378-389.
- Yarovenko, H., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Methodology for assessing the risk associated with information and knowledge loss management. Journal of Business Economics and Management, 22(2), 369-387.
- Zhuravka, F., Shkarupa, O., Aiyedogbon, J. O., Adeyinka, O., & Shkarupa, I. (2020). Factors of macroeconomic growth in Nigeria: wages demand, taxes, and entrepreneurship development. Investment Management and Financial Innovations, 17(1), 242-252.