On the Comparability of the Production and Intermediation Approach in Banking Efficiency Studies

• Autorzy: Martin Boďa , Zuzana Piklová

Warianty tytułu

Porównywalność podejścia produkcyjnego i intermediacyjnego w badaniach dotyczących efektywności bankowej

• Języki publikacji: EN

Abstrakty

EN

The paper analyses the question of comparability of results that arise from application of the production and intermediation approach in practical efficiency measurement in banking. Its goal is to assess the comparability or congruence of efficiency scores yielded by these two approaches when applied in a case study of Slovak commercial banks for a period of 11 years between 2005 and 2015, using data envelopment analysis (DEA). The paper acknowledges that the chief distinction between the two approaches residing in the treatment of deposits passes into the resulting efficiency scores and troubles their comparability.(original abstract)

Badanie to analizuje kwestię porównywalności wyników po zastosowaniu podejścia produkcyjnego i intermediacyjnego w praktycznym pomiarze efektywności bankowości. Celem jest ocena, za pomocą metody DEA, porównywalności lub spójności przyrostu wydajności uzyskanego dzięki dwóm podejściom stosowanym w studium przypadku słowackich banków komercyjnych w okresie 11 lat w latach 2005-2015. W badaniu stwierdzono, że główna różnica między podejściem produkcyjnym i intermediacyjnym polega na innym rozumieniu roli depozytów bankowych, co znajduje odzwierciedlenie w końcowym wyniku skuteczności.(abstrakt oryginalny)

Słowa kluczowe

EN

Effectiveness; Commercial banks; Comparative analysis; Data Envelopment Analysis (DEA)

PL

Efektywność; Banki komercyjne; Analiza porównawcza; Metoda DEA (analiza obwiedni danych)

• Czasopismo: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
• Rocznik: 2018
• Numer: nr 519 Wrocław Conference in Finance: Contemporary Trends and Challenges
• Strony: 9--25

Twórcy

autor

Martin Boďa

• Matej Bel University in Banská Bystrica, Slovakia

autor

Zuzana Piklová

• Matej Bel University in Banská Bystrica, Slovakia

Bibliografia

• Ahn H., Le M.H., 2014, An insight into the specification of the input-output set for DEA-based bank efficiency measurement, Management Review Quarterly, vol. 64, no. 1, p. 3-37.
• Andries A.M., 2011, The determinants of bank efficiency and productivity growth in the Central and Eastern European banking systems, Eastern European Economics, vol. 49, no. 6, p. 35-59.
• Ayadi F., Adebayo A., Omolehinwa E., 1998, Bank performance measurement in a developing country: an application of data envelopment analysis, Managerial Finance, vol. 24, p. 5-16.
• Banker R.D., Charnes A., Cooper W.W., 1984, Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, vol. 30, no. 9, p. 1078-1092.
• Banerjee B., 2012, Banking sector efficiency in new EU member states: a survey, Prikazi in analize, vol. 18, no. 3, p. 1-38.
• Benston G., 1965, Branch banking and economies of scale, Journal of Finance, vol. 20, no. 2, p. 312- -331.
• Berger A.N., Mester L.J., 1997, Inside the black box: what explains differences in the efficiencies of financial institutions?, Journal of Banking and Finance, vol. 21, no. 7, p. 895-947.
• Boďa M., 2015, A slacks-based measure DEA methodology for identification of returns to scale in the Slovak banking sector, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, vol. 63, no. 6, p. 1847-1858.
• Boďa M., Zimková E., 2014, An insight into SBM efficiency of Slovak commercial banks, Financial Assets and Investing, vol. 5, no. 2, p. 7-25.
• Boďa M., Zimková E., 2015, Efficiency in the Slovak banking industry: a comparison of three approaches, Prague Economic Papers, vol. 24, no. 4, p. 434-451.
• Canhoto A., Dermine J., 2003, A note on banking efficiency in Portugal, new vs old banks, Journal of Banking and Finance, vol. 27, p. 2087-2098.
• Casu B., Molyneux P., 2003, A comparative study of efficiency in European banking, Applied Economics, vol. 35, no. 17, p. 1865-1876.
• Chortareas G.E., Girardone C., Ventouri A., 2012. Bank supervision, regulation, and efficiency: evidence from the European Union, Journal of Financial Stability, vol. 8, no. 4, p. 292-302.
• Cook W.D., Tone K., Zhu J., 2014, Data envelopment analysis: prior to choosing a model, Omega, vol. 44, p. 1-4.
• Cook W.D., Zhu J., 2007, Classifying inputs and outputs in data envelopment analysis, European Journal of Operational Research, vol. 180, no. 2, p. 692-699.
• Drake L., 2001, Efficiency and productivity change in UK banking, Applied Financial Economics, vol. 11, no. 5, p. 557-571.
• Duygun Fethi M., Pasiouras F., 2010, Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey, European Journal of Operational Research, vol. 204, no. 2, p. 189-198.
• Emrouznejad A., Yang G.I., 2018, A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016, Socio-Economic Planning Sciences, vol. 61, p. 4-8.
• Kazan H., Baydar M., 2013, Performance measurement with data envelopment analysis in service industry: Banking application, Business Management Dynamics, vol. 3, no. 5, p. 37-50.
• Kenjegalieva K., Simper R., Weyman-Jones T., Zelenyuk V., 2009, Comparative analysis of banking production frameworks in Eastern European financial markets, European Journal of Operational Research, vol. 198, no. 1, p. 189-198.
• Kočišová K., 2012, Aplikácia DEA modelov pri analýze technickej efektívnosti pobočiek komerčnej banky, Ekonomicky Casopis, vol. 60, no. 2, p. 169-186.
• Kočišová K., 2013, An analysis of bank efficiency in the Slovak and the Czech Republic by data envelopment analysis, Quaere 2013: recenzovaný sborník příspevků vědecké interdisciplinární mezinárodní vědecké conference doktorandů a odborných asistentů, vol. 3, p. 912-921.
• Kruskal J.B., 1964, Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, vol. 29, no. 1, p. 1-27.
• Levine R., 1997, Financial development and economic growth, Journal of Economic Literature, vol. 35, no. 2, p. 688-726.
• Liu J.S., Lu L.Y.Y., Lu W.M., Lin B.J.Y., 2013a, A survey of DEA applications, Omega, vol. 41, no. 5, p. 893-902.
• Liu J.S., Lu L.Y.Y., Lu W.M., Lin B.J.Y., 2013b, Data envelopment analysis 1978-2010: a citationbased literature survey, Omega, vol. 41, no. 1, p. 3-15.
• Mlima A.P., Hjalmarsson L., 2002, Measurement of inputs and outputs in the banking industry, Tanzanet Journal, vol. 3, no. 1, p. 12-22.
• Nitoi M., 2009, Efficiency in the Romanian banking system: an application of data envelopment analysis, Romanian Journal of Economics, vol. 29, no. 2, p. 162-176.
• Palečková I., 2015, Banking efficiency in Visegrad countries: a dynamic data envelopment analysis, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, vol. 63, no. 6, p. 2085- -2091.
• Paradi J.C., Zhu H., 2013, A survey on bank branch efficiency and performance research with data envelopment analysis, Omega, vol. 41, no. 1, p. 61-79.
• Paradi J.C., Yang Z., Zhu H., 2011, Assessing bank and bank branch performance: modelling considerations and approaches, [in:] Cooper W.W., Seiford L.M., Zhu, J. (eds), Handbook on data envelopment analysis, international series in operations research & management science, 164, Springer, New York, p. 315-361.
• R Core Team, 2014, R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, https://www.r-project.org (14.05.2017).
• Řepková I., 2014, Efficiency of the Czech Banking Sector Employing the DEA Window Analysis Approach, Procedia Economics and Finance, vol. 12, p. 587-596.
• Sealey C.W., Lindley J.T., 1977, Inputs, outputs and a theory of production and cost at depository financial institutions, Journal of Finance, vol. 32, no. 8, p. 1251-1266.
• Simar L., Wilson P.W., 2011, Two-stage DEA: caveat emptor, Journal of Productivity Analysis, vol. 36, p. 205-218.
• Stavárek D., Šulganová J., 2009, Analýza efektívnosti slovenských bank využitím Stochastic Frontier Approach, Ekonomická revue - CEREI, vol. 12, no. 1, p. 27-34.
• Toloo M., Allahyar M., Hančlová J., 2018, A non-radial directional distance method on classifying inputs and outputs in DEA: application to banking industry, Expert Systems with Applications, vol. 92, p. 495-506.
• Tone K., 2001, A slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, vol. 130, no. 3, p. 498-509.
• Wheelock D.C., Wilson P.W., 1995, Evaluating the efficiency of commercial banks: does our view of what banks do matter?, Review of Federal Reserve Bank of St Louis, vol. 77, no. 4, p. 39-52.
• Wu D., Yang Z., Liang, L., 2006, Using DEA - neural network approach to evaluate branch efficiency of a large Canadian bank, Expert Systems with Applications, vol. 31, p. 108-115.
• Yang C-C., 2012, Service, investment, and risk management performance in commercial banks, Service Industries Journal, vol. 32, no. 12, p. 2005-2025.
• Zimková E., 2014, Technical efficiency and super-efficiency of the banking sector in Slovakia, Procedia Economics and Finance, vol. 12, p. 780-787.

Identyfikatory

DOI

10.15611/pn.2018.519.01