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2014 | 4/2014 (48) t.1 | 93 - 110

Article title

Efektywność techniczna banków spółdzielczych w województwie wielkopolskim w latach 2008–2012


Title variants

Technical efficiency of cooperative banks in the Wielkopolska in 2008-2012

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Artykuł podejmuje problematykę efektywności technicznej banków spółdzielczych z siedzibą w województwie wielkopolskim. Efektywność ta została zbadana za pomocą nieparametrycznej metody DEA. Opracowano cztery ujęcia działalności banków, z których połowa została zakwalifikowana jako modele o charakterze komercyjnym, natomiast druga połowa jako modele reprezentujące społeczny aspekt działalności banków. Celem dokonanego rozgraniczenia była analiza porównawcza dwóch grup modeli w zakresie efektywności technicznej, skali oraz determinant zmian efektywności obliczonych za pomocą indeksu produktywności Malmquista. Na podstawie przeprowadzonych badań można stwierdzić, że banki spółdzielcze w województwie wielkopolskim osiągają wyższą efektywność, gdy ich działalność rozpatrywana jest w ujęciach o charakterze komercyjnym. Należy jednak zwrócić uwagę na większy wzrost efektywności banków w społecznych modelach funkcjonowania, której źródłem w analizowanych latach była głównie poprawa czystej efektywności technicznej, czyli ograniczenie marnotrawstwa zasobów.
This article takes into account the issue of technical efficiency of cooperative banks headquartered in Wielkopolska, which was examined using non-parametric DEA method. The author developed four types of the bank activities, half of which was classified as models of a commercial nature, while the second half as models representing the social aspect of the banks activities. The purpose of demarcation was to conduct a comparative analysis of the two groups of models in terms of technical efficiency, scale and determinants of changes in the efficiency calculated using the Malmquist productivity index. Based on the study it can be stated that the cooperative banks in Wielkopolska achieve higher efficiency in models of a commercial nature. However, greater increase of the efficiency was observed while taking into consideration social models. The main cause of this rise in the analyzed period was mainly due to the improvement of the pure technical efficiency, i.e. reduction of resources wastage.



93 - 110

Physical description




  • Uniwersytet Ekonomiczny w Poznaniu
  • Uniwersytet Ekonomiczny w Poznaniu


  • Ahn, T. i Seiford, L.M. (1993). Sensitivity of DEA to Models and Variable Sets in a Hypothesis Test Setting: The Efficiency of University Operations. W: Y. Ijiri (red.), Creative And Innovative Approaches To The Science Of Management (s. 192–193). New York: Quorum Books.
  • Ataur Rahman, A.F.M. (2012). Performance Measurement of Commercial Banks of Bangladesh: An Application of Two Stage DEA Method. World Journal of Social
  • Sciences, 2 (4), 101–106.
  • Badea, L., Brezeanu, P. i Munteanu, A. (2013). Productivity Change Patterns in the Romanian Banking System: The Impact of Size and Ownership on Total Factor Productivity. Theoretical and Applied Economics, 20 (6), 45–49.
  • Banker, R.D. (1993). Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation. Management Science, 39 (10), http://dx.doi.org/10.1287/mnsc.39.10.1265.
  • Banker, R.D., Charnes, A. i Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30 (9), 1088–1089, http://dx.doi.org/10.1287/mnsc.30.9.1078.
  • Banker, R.D., Cooper, W.W., Seiford, L.M., Thrall, R.M. i Zhu, J. (2004). Returns to Scale in Different DEA Models. European Journal of Operational Research, 154 (2), 349–350, http://dx.doi.org/10.1016/S0377-2217(03)00174-7.
  • Banker, R.D., Cummis, J. i Klumpes, P.J.M. (2010). Performance Measurement in the Financial
  • Services Sector: Frontier Efficiency Methodologies and Other Innovative Techniques. Journal of Banking & Finance, 34 (7), http://dx.doi.org/10.1016/j.jbankfin.2010.02.024.
  • Bogetoft, P. i Otto, L. (2011). Benchmarking with DEA, SFA, and R. New York: Springer
  • Science+Business Media, http://dx.doi.org/10.1007/978-1-4419-7961-2.
  • Charnes, A., Cooper, W.W. i Rhodes, E. (1978). Measuring Efficiency of Decision Making
  • Units. European Journal of Operational Research, 2 (6), 429–444, http://dx.doi.org/10.1016/0377-2217(78)90138-8.
  • Cook, W.D., Hababou M. i Roberts, G.S. (2000). Financial Liberalization and Efficiency in Tunisian Banking Industry: DEA Tests. International Journal of Information Technology and Decision Making, 4 (3), http://dx.doi.org/10.1142/S0219622005001684.
  • Cook, W.D. i Seiford, L.M. (2009). Data Envelopment Analysis (DEA) – Thirty Years on. European Journal of Operational Research, 192 (1–2), http://dx.doi.org/10.1016/j.ejor.2008.01.032.
  • Cook, W.D. i Zhu, J. (2005). Modeling Performance Measurement. Applications and Implementation Issues in DEA. New York: Springer Science+Business Media.
  • Cooper, W.W., Seiford, L.M. i Tone, K. (2006). Introduction to Data Envelopment Analysis and Its Uses. With DEA-Solver Software and References. New York: Springer Science+Business Media.
  • Cooper, W.W., Seiford, L.M. i Tone, K. (2007). Data Envelopment Analysis. A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Second Edition. New York: Springer Science+Business Media.
  • Cooper, W.W., Seiford, L.M., Tone, K. i Zhu, J. (2007). Some Models and Measures forEvaluating Performances with DEA: Past Accomplishments and Future Prospects. New York: Springer Science+Business Media.
  • Cooper, W.W., Seiford, L.M. i Zhu, J. (2011), Handbook on Data Envelopment Analysis. Second Edition. New York: Springer Science+Business Media.
  • Ebrahimnejad, A., Jahanshahloo, G.R., Lotfi, F.H., Mansourzadeh, S.M. i Soltanifar, M. (2010). Target Setting in the General Combined-oriented CCR Model Using an Interactive MOLP Method. Journal of Computational and Applied Mathematics, 34 (1), http://dx.doi.org/10.1016/j.cam.2009.11.045.
  • Eeckaut, P.V., Fried, H.O. i Lovell, C.A.K. (1993). Evaluating the Performance of US Credit Unions. Journal of Banking and Finance, 17 (2–3), 254–256.
  • Farrell, M.J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120 (3), 253, http://dx.doi.org/10.2307/2343100.
  • Guzik, B. (2009). Podstawowe modele DEA w badaniu efektywności gospodarczej i społecznej. Poznań: Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
  • Holod, D. i Lewis, H.F. (2011). Resolving the Deposit Dilemma: A New DEA Bank Efficiency Model. Journal of Banking & Finance, 35 (11), http://dx.doi.org/10.1016/j.jbankfin.2011.03.007.
  • Hoque, R. i Rayhan, I. (2012). Data Envelopment Analysis of Banking Sector in Bangladesh. Russian Journal of Agricultural and Socio-Economic Sciences, 5 (5), 17–21.
  • Kwan, S.H. (2006). The X-efficiency of Commercial Banks in Hong Hong. Journal of Banking & Finance, 30 (4), 1131–1133. Lindley, J.T. i Sealey, C.W. (1977). Inputs, Outputs, and Theory of Production Cost at Depository Financial Institutions. Journal of Finance, 32 (4), 1252–1254, http://
  • dx.doi.org/10.2307/2326527.
  • Liu, J.S., Lu, L.Y.Y., Lu, W.M. i Lin, B.J.Y. (2013). Data Envelopment Analysis 1978– 2010: A Citation-based Literature Survey, Omega-International Journal of Management Science, 41 (1), 7–9, http://dx.doi.org/10.1016/j.omega.2010.12.006.
  • Lovell, C.A.K. (2003). The Decomposition of Malmquist Productivity Indexes. Journal of Productivity Analysis, 20 (3), 440–443.
  • Maniadakis, N. i Thanassoulis, E. (2004). A Cost Malmquist Productivity Index. EuropeanJournal of Operational Research, 154 (2), http://dx.doi.org/10.1016/S0377-2217(03)00177-2.
  • McAlevey, L., Sibbald, A. i Tripe, D. (2010). New Zealand Credit Union Mergers. Annals of Public and Cooperative Economics, 81 (3), 15–18, http://dx.doi.org/10.1111/j.1467-8292.2010.00414.x.
  • Mielnik, M. (2006). Efektywność banków spółdzielczych w Polsce w latach 1997–2003. Niepublikowana praca doktorska. Poznań: Uniwersytet Ekonomiczny w Poznaniu.
  • Rahmani Parchikolaei, B. i Yosefian, R. (2013). Group Malmquist Productivity Index for Two Time Periods: An Application for Ranking Departments of University. Data Envelopment Analysis and Decision Science, (3), http://dx.doi.org/10.5899/2013/dea- 00029.
  • Ramanathan, R. (2003). An Introduction to Data Envelopment Analysis. A Tool for Performance Measurement. London: Sage Publications.
  • Reddy, C.S. i Subramanyam, T. (2008). Measuring the Risk Efficiency in Indian Commercial Banking: A DEA Approach. Journal of Economics and Business, 11 (1–2).
  • Roman, A. i Sargu, A.C. (2012). Bank Efficiency Evaluation: Evidence from a Panel of Romanian Banks. Journal of Eastern Europe Research in Business & Economics, 2012 (2012), http://dx.doi.org/10.5171/2012.592822.
  • Thanassoulis, E. (2001). Introduction to the Theory and Application of Data Envelopment Analysis. A Foundation Text with Integrated Software. New York: Springer Science+Business Media, http://dx.doi.org/10.1007/978-1-4615-1407-7.
  • Yilmaz, A.A. (2013). Bank Efficiency Analysis in Turkish Banking System. WEI International Academic Conference Proceedings, (January).

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