Polish Banking Industry Efficiency: DEA Window Analysis Approach

Authors

  • Magdalena Kisielewska Szczecin University, Poland
  • Malgorzata Guzowska Szczecin Universit, United Kingdom
  • Joseph G Nellis Cranfield University, United Kingdom
  • Dariusz Zarzecki Szczecin University, United Kingdom

DOI:

https://doi.org/10.32890/ijbf2005.3.2

Keywords:

DEA analysis, Malmquist index, efficiency, productivity, Polish banking

Abstract

The Polish banking industry has been transformed since the country’s transition to a market economy which began at the end of the 1980s. The industry has now developed and expanded to encompass more than 60 participants and it can thus be described today as a relatively competitive market. Against this background, this paper evaluates the financial performance at the industry over time, based on the ten largest Polish banks that represent around 80 percent of the total sector in terms of assets. In particular, cost efficiency of the banks is analyzed on the basis of six production models. Efficiency scores are obtained using Data Envelopment Analysis between 1995-2003 period, using intertemporal and locally intertemporal data. Productivity changes within the sector are investigated using the Malmquist Index approach.

 

References

Althin R., (2001), Measurement of Productivity Changes: Two Malmquist Index Approaches, Journal of Productivity Analysis 16: 107-128.

Asmild.M., Paradi J. C., Aggrawall V., Shaffnit C., (2004), Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry, Journal of Productivity Analysis 21: 67-89.

Berg S.A, Forsund F.R, Jansen E.S., (1992), Malmquist Indices of Productivity Growth during the Deregulation of Norwegian Banking, Scandinavian Jour-nal of Economics (Supplement), 94: Supplement, 211-228.

Berger A.N., Humphrey D.B., (1997), Efficiency of Financial Institutions: Inter-national Survey and Directions for Future Research, European Journal of Operational Research 98: 175-212.

Caves D.W., Christiansen L.R., Diewert W.E., (1982), The economic theory of index numbers and the measurement input, output and productivity. Econometrica 50: 1393-1414.

Charnes A., Cooper W.W., Huang Z.M., Sun D.B., (1990), Polyhedral cone — ratio DEA models, Journal of Econometrics 46: 73-91.

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., Seiford L.M., Tone K., (2000). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, Reference and DEA Solver Software, Kulwer Academic Publishers, Nowell, Massachusetts.

Debreu G., (1951). The Coefficient of Recourse Utilisation, Econometrica 19: 14-22.

Goto M., Tsutsumi M., (1998), Comparison of Productive and Cost Elficiencies Among Japanese and U.S. Electric Utilities, International Journal of Management Science: 26: 177-194.

Fire R., Grosskopf S., (1992). Malmquist index and Fisher ideal index, 7/e Economic Journal, 102: 158-160. 28 The International Journal of Banking and Finance 3-4 (Special Issue): 2005-2006: 15-

Fire R., Grosskopf S., Lovel C.A.K., (1994). Production Frontiers, Cambridge University Press, Cambridge.

Fried H.O., Lovell C.A.K., Schmit S., (1993). The measurement of productive efficiency. Techniques and applications, Oxford University Press, New York.

Farrell M.J., (1957). The Measurement of Productive Efficiency, Journal of the Royal Statistical Society 120: 253-281.

Malmquist S., (1953). Index numbers and indifference surfaces, Trabajos de Estadistic 4: 209-242,

Paradi J.C., Vela S., Yang Z., (2004). Assessing Bank and Bank Branch Performance, [in:| Handbook on Data Envelopment Analysis, ed. W.W. Cooper, L.M. Seiford, J. Zhu, Kluwers Academic Publishers, Boston, Dordrecht, London.

Rogowski G., (1998). Metody analizy i oceny dzia_alno_ci banku na potrzeby zarz_dzania strategicznego, Wydawnictwo WSB w Poznaniu, Pozna_ 1998.

Seiford L.M., Thrall R.M., (1990), Recent Developments in DEA. The mathemati-cal Programming Approach to frontier Analysis, Journal of Econometrics 46: 7-38.

Sueyoshi T., Aoki S. (2001). A Use of Nonparametric Statistic for DEA Frontier Shift: The Kruskal and Wallis Rank Test, OMEGA: International Journal of Management Science 29: 1-18.

Thrall R.M., (2000). Measures in DEA with application to the Malmquist index, Journal of Productivity Analysis 13: 125-137.

Weill L., (2004), Measuring Efficiency in European Banking: A Comparison of Frontier Techniques, Journal of Productivity Analysis 21: 133-152. The International Journal of Banking and Finance 3-4 (Special Issue): 2005-2006: 15-

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Published

03-01-2006

How to Cite

Kisielewska, M., Guzowska, M., Nellis, J. G., & Zarzecki, D. (2006). Polish Banking Industry Efficiency: DEA Window Analysis Approach. International Journal of Banking and Finance, 3, 15-31. https://doi.org/10.32890/ijbf2005.3.2

Research impact

Harvested 2026-09-07
12 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/ijbf2005.3.2 OpenAlex W1522082077