Year 2023,
Volume: 6 Issue: 1, 75 - 96, 31.07.2023
Emine Arzu İmren Karaosmanoğlu
,
Alig Baghirov
,
Fuad Selamzade
,
Rafał Pıtera
Yeter Gasimova
References
- Baghirov, A. (2017), 2008 Küresel Kriz Sonrası Azerbaycan Bankacılık Sisteminin Veri Zarflama Analizi İle İncelenmesi, Uluslararası Ekonomik Araştırmalar Dergisi, 3(1), 1-12
- Balcı, E & Ayvaz, B. (2020). Efficiency and productivity analysis in Turkish banking sector with data envelopment analysis and Malmquist index. Southeast Europe Journal of Soft Computing, 9(1), 9-23.
- 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), 1078-1092
- Banking Law of Polish, (1997), The Bankıng Act of Poland Republic,
- Charnes, A., Cooper, W.W., & Rhodes, E (1978). Measuring The Efficiency of Decision Making Units, European Journal of Operation Research, 2, 429-444.
- Cooper, W.W, Lawrence, W., Seiford, M. & Zhu, J. (2011). Handbook on Data Envelopment Analysis. Second Edition. London: Springer New York Dordrecht Heidelberg.
- Czerwonka, L., (2019), Efficiency in Polish listed commercial banks: a DEA approach Research Papers Of Wrocław University of Economics, 63(5), 7-18
- Drake, L., Hall, M.J.B., & Simper, R. (2009). Bank Modelling Methodologies: A Comparative Non-parametric Analysis of Efficiency in the Japanese Banking Sector, Int. Fin. Markets, Inst. and Money 19, 1–15
- Dutta, P., Jain, A. & Gupta, A. (2020), Performance analysis of non-banking finance companies using two-stage data envelopment analysis. Ann Oper Res 295, 91–116, Doi:10.1007/s10479-020-03705-6
- Hammami, H., Ngo, T., Tripe, D. & Vo, D. T. (2020) Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector. Ann Oper Res, S.I. : MOPGP19. 1-20, Doi:10.1007/s10479-020-03759-6
- Kutlar, A. and Salamov, F. (2018), Azerbaycan Devlet Hastanelerinin Stokastik Sınır Analizi Metodu ile Değerlendirilmesi, Balkan and Near Eastern Journal of Social Sciences, 04 (02), 55-64
- Küçükkaksoy, I., & Selcan, O. (2013). Türk bankacılık sektöründe faaliyet gösteren bankaların etkinliklerinin veri zarflama analizi yöntemi ile ölçülmesi: 2004-2011 yılları uygulaması. Ekonometri & İstatistik e-Publisher, (18), 56-80
- Prawo bankowe, Ustawa z dnia 29 sierpnia 1997 r. (Dz.U. 1997 Nr 140 poz. 939)
- Pawłowska M. (2019), Konkurencja na rynku sprzedaży detalicznej w Polsce: badanie z wykorzystaniem indeksu Linda, Kwartalnik KES, 4/36, p. 20-40.
- System bankowy w Polsce w latach dziewięćdziesiątych, National Bank of Poland, December 2001, p. 2.
- Solarz, J. K., Wybrane aspekty dostosowania polskiego systemu bankowego do wymogów Wspólnot Europejskich i OECD, ”Bank i Kredyt” 1996, No 5, p. 32–37.
- Tsionas, M.G. (2020). A coherent approach to Bayesian data envelopment analysis, European Journal of Operational Research, 281(2), 439-448, Doi:10.1016/j.ejor.2019.08.039
- Ustawa Prawo bankowe z dnia 29 sierpnia 1997 r. (Dz.U. 1997, nr 140, poz. 939).
- Yagubov, S. & Yagubov, U. (2020). The efficiency of Azerbaijani banks: an empiric analysis, 55th International Scientific Conference on Economic and Social Development – Baku/Azerbaijan, 581-587.
- Yalçın H. (2012), Veri Zarflama Analizi ile Vergi Dairesi Başkanlıklarının Performansının Ölçülmesi, Kadir Has Üniversitesi Sosyal Bilimler Enstitüsü Doktora Tezi, İstanbul
Comparison Of The Efficient Of Domestic And Foreign Banks With Data Envelopment Analysis: In The Case Of The Poland Banking System (2016-2022 Period)
Year 2023,
Volume: 6 Issue: 1, 75 - 96, 31.07.2023
Emine Arzu İmren Karaosmanoğlu
,
Alig Baghirov
,
Fuad Selamzade
,
Rafał Pıtera
Yeter Gasimova
Abstract
The main reason for this research is to analyze the Polish banking systems with Data Envelopment analysis and its sub-models, to measure efficiency, and then to compare the banks of both countries separately and together, according to the results of the analysis. In this study, the measurement of the efficiency of all 19 banks operating in Poland between 2016-2022 was investigated with CCR and BCC models of an input-oriented the Data Envelopment Analysis. According to the analysis result, efficient and inefficient banks were identified and compared, and potential improvement suggestions were developed for inefficient banks. It has been observed that the efficiency of the banking system has estimated to increase linearly over the years. Results of efficient banks of Poland have been compared and recommended as benchmarks and potential improvement suggestions for inefficient banks.
References
- Baghirov, A. (2017), 2008 Küresel Kriz Sonrası Azerbaycan Bankacılık Sisteminin Veri Zarflama Analizi İle İncelenmesi, Uluslararası Ekonomik Araştırmalar Dergisi, 3(1), 1-12
- Balcı, E & Ayvaz, B. (2020). Efficiency and productivity analysis in Turkish banking sector with data envelopment analysis and Malmquist index. Southeast Europe Journal of Soft Computing, 9(1), 9-23.
- 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), 1078-1092
- Banking Law of Polish, (1997), The Bankıng Act of Poland Republic,
- Charnes, A., Cooper, W.W., & Rhodes, E (1978). Measuring The Efficiency of Decision Making Units, European Journal of Operation Research, 2, 429-444.
- Cooper, W.W, Lawrence, W., Seiford, M. & Zhu, J. (2011). Handbook on Data Envelopment Analysis. Second Edition. London: Springer New York Dordrecht Heidelberg.
- Czerwonka, L., (2019), Efficiency in Polish listed commercial banks: a DEA approach Research Papers Of Wrocław University of Economics, 63(5), 7-18
- Drake, L., Hall, M.J.B., & Simper, R. (2009). Bank Modelling Methodologies: A Comparative Non-parametric Analysis of Efficiency in the Japanese Banking Sector, Int. Fin. Markets, Inst. and Money 19, 1–15
- Dutta, P., Jain, A. & Gupta, A. (2020), Performance analysis of non-banking finance companies using two-stage data envelopment analysis. Ann Oper Res 295, 91–116, Doi:10.1007/s10479-020-03705-6
- Hammami, H., Ngo, T., Tripe, D. & Vo, D. T. (2020) Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector. Ann Oper Res, S.I. : MOPGP19. 1-20, Doi:10.1007/s10479-020-03759-6
- Kutlar, A. and Salamov, F. (2018), Azerbaycan Devlet Hastanelerinin Stokastik Sınır Analizi Metodu ile Değerlendirilmesi, Balkan and Near Eastern Journal of Social Sciences, 04 (02), 55-64
- Küçükkaksoy, I., & Selcan, O. (2013). Türk bankacılık sektöründe faaliyet gösteren bankaların etkinliklerinin veri zarflama analizi yöntemi ile ölçülmesi: 2004-2011 yılları uygulaması. Ekonometri & İstatistik e-Publisher, (18), 56-80
- Prawo bankowe, Ustawa z dnia 29 sierpnia 1997 r. (Dz.U. 1997 Nr 140 poz. 939)
- Pawłowska M. (2019), Konkurencja na rynku sprzedaży detalicznej w Polsce: badanie z wykorzystaniem indeksu Linda, Kwartalnik KES, 4/36, p. 20-40.
- System bankowy w Polsce w latach dziewięćdziesiątych, National Bank of Poland, December 2001, p. 2.
- Solarz, J. K., Wybrane aspekty dostosowania polskiego systemu bankowego do wymogów Wspólnot Europejskich i OECD, ”Bank i Kredyt” 1996, No 5, p. 32–37.
- Tsionas, M.G. (2020). A coherent approach to Bayesian data envelopment analysis, European Journal of Operational Research, 281(2), 439-448, Doi:10.1016/j.ejor.2019.08.039
- Ustawa Prawo bankowe z dnia 29 sierpnia 1997 r. (Dz.U. 1997, nr 140, poz. 939).
- Yagubov, S. & Yagubov, U. (2020). The efficiency of Azerbaijani banks: an empiric analysis, 55th International Scientific Conference on Economic and Social Development – Baku/Azerbaijan, 581-587.
- Yalçın H. (2012), Veri Zarflama Analizi ile Vergi Dairesi Başkanlıklarının Performansının Ölçülmesi, Kadir Has Üniversitesi Sosyal Bilimler Enstitüsü Doktora Tezi, İstanbul