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2017 | OriginalPaper | Chapter

Estimation of Efficiency Change in the Czech Banking Sector Employing the Window Malmquist Approach

Author : Iveta Palečková

Published in: Financial Environment and Business Development

Publisher: Springer International Publishing

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Abstract

The aim of this chapter is to examine efficiency change in the Czech banking sector using the Window Malmquist approach within the period 2004–2013. We use the Window Malmquist model to estimate efficiency change of commercial banks in the Czech Republic. The Window Malmquist index is determined in order to investigate the levels of and the changes in the efficiency of the Czech commercial banks over the analysed period. By this approach, the technical efficiency is examined sequentially with a certain window width (i.e. the number of years in a window) using a panel data of the Czech commercial banks. The Window Malmquist index is based on Data Envelopment Analysis (DEA) models. We found that the average Window Malmquist index reaches the annual average growth of 5 % in CCR and 3 % in BCC models. This positive efficiency change was caused by average annual growth of technological change. In the period 2010–2013, the positive value of Window Malmquist index was as a result of positive value of efficiency change (catch-up effect).

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Anayiotos, G., Toroyan, H., & Vamvakidis, A. (2010). The efficiency of emerging Europe’s banking sector before and after the recent economic crisis. Financial Theory and Practice, 34(3), 247–267.

Andries, A. M., & Cocris, V. (2010). A comparative analysis of the efficiency of Romanian banks. Romanian Journal of Economic Forecasting, 4, 54–75.

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, 1078–1092.CrossRef

Caves, D. C., Christensen, L. R., & Dievert, W. E. (1982). The economic theory of index number and the measurement of input, output, and productivity. Econometrica, 50(1982), 1393–1414.CrossRef

Charnes, A., Clark, T., Cooper, W. W., & Golany, B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in U. S. Air Forces. In R. Thompson & R. M. Thrall (Eds.), Annals of Operational Research, 2, 95–112.

Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (1995). Data envelopment analysis: Theory, methodology and applications. New York: Springer.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.CrossRef

Coelli, T. J., Prasada Rao, D. S., & Battese, G. E. (1998). An introduction to efficiency and productivity analysis. Boston, MA: Kluwer Academic.CrossRef

Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis, a comprehensive text with models, applications, references and DEA-Solver software. New York: Springer.

Fare, R., Grosskopf, S., Lindgren, B., & Roose, P. (1992). Productivity change in Swedish analysis, Pharmacies 1980–1989: A nonparametric Malmquist approach. Journal of Productivity, 3, 85–102.CrossRef

Fare, R., Grosskopf, S., Norris, M., & Zhang, A. (1994). Productivity growth, technical progress, and efficiency changes in industrial country. American Economic Review, 84, 66–83.

Hančlová, J., & Staníčková, M. (2012, September 20–22). Assessment of the Visegrad countries performance by application of the DEA based Malmquist productivity index. In WSEAS. (Ed.), Advances in Economics, Risk Management, Political and Law Science, Proceedings of the 1st WSEAS International Conference on Economics, Political and Law Science (EPLS ’12), Zlín, Czech Republic. Zlín: Tomas Bata University.

Lyroudi, K., & Angelidis, D. (2006). Measuring banking productivity of the most recent European Union member countries; A non-parametric approach. Journal of Economics and Business, 9(1), 37–57.

Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de Estadistica, 4, 209–242.CrossRef

Melecký, L., & Staníčková, M. (2012, September 11–13). National efficiency evaluation of Visegrad countries in comparison with Austria and Germany by selected DEA models. In J. Ramík & D. Stavárek (Eds.), Proceedings of 30th International Conference Mathematical Methods in Economics, Karviná, Czech Republic. Karviná: Silesian University, School of Business Administration.

Palečková, I. (2015, April 23–24). Efficiency change in banking sectors of Visegrad countries. In E. Pastuszková et al. (Eds.), Proceedings of the 7th International Scientific Conference Finance and the Performance of Firms in Science, Education, and Practic, Zlín, Czech Republic. Zlín: Tomas Bata University.

Řepková, I. (2012, September 11–13). Measuring the efficiency in the Czech banking industry: Data envelopment analysis and Malmquist index. In J. Ramík & D. Stavárek (Eds.) Proceedings of 30th International Conference Mathematical Methods in Economics, Karviná, Czech Republic. Karviná: Silesian University, School of Business Administration.

Řepková, I. (2013). Estimation of banking efficiency in the Czech Republic: Dynamic data envelopment analysis. DANUBE: Law and Economics Review, 4(4), 261–275.

Řepková, I. (2014). Efficiency of the Czech banking sector employing the DEA window analysis approach. Procedia Economics and Finance, 12, 587–596.CrossRef

Rezitis, A. N. (2010). Agricultural productivity and convergence: Europe and the United States. Applied Economics, 42(8), 1029–1044.CrossRef

Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: The mathematical programming approach to frontier analysis. Journal of Econometrics, 46, 7–38.CrossRef

Staněk, R. (2010). Efektivnost českého bankovního sektoru v letech 2000–2009. In Konkurenceschopnost a stabilita [Efficiency of the Czech banking sector in the period 2000–2009]. Brno: Masaryk University.

Stavárek, D. (2005). Restrukturalizace bankovních sektorů a efektivnost bank v zemích Visegrádské skupiny [Efficiency of banks in the Visegrad countries]. Karviná: Silesian University, School of Business Administration.

Stavárek, D., & Polouček, S. (2004). Efficiency and profitability in the banking sector. In S. Polouček (Ed.), Reforming the financial sector in central European countries (pp. 75–135). Hampshire: Palgrave Macmillan.

Stavárek, D., & Řepková, I. (2012). Efficiency in the Czech banking industry: A non-parametric approach. Acta Universitatis Agriculturae et Silviculturae Mendeleianae Brunensis, 60, 357–366.CrossRef

Title: Estimation of Efficiency Change in the Czech Banking Sector Employing the Window Malmquist Approach
Author: Iveta Palečková
Publisher: Springer International Publishing
Book: Financial Environment and Business Development
Print ISBN: 978-3-319-39918-8

Electronic ISBN: 978-3-319-39919-5

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-39919-5_1