Revenue and cost efficiency of banking sectors in the European Union countries: Do they depend on size, location or crisis period?

Gavurová, Beáta; Belás, Jaroslav; Kočišová, Kristína; Dapkus, Rimantas; Bartkute, Rasa

dc.title	Revenue and cost efficiency of banking sectors in the European Union countries: Do they depend on size, location or crisis period?	en
dc.contributor.author	Gavurová, Beáta
dc.contributor.author	Belás, Jaroslav
dc.contributor.author	Kočišová, Kristína
dc.contributor.author	Dapkus, Rimantas
dc.contributor.author	Bartkute, Rasa
dc.relation.ispartof	Transformations in Business and Economics
dc.identifier.issn	1648-4460 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2017
utb.relation.volume	16
utb.relation.issue	2
dc.citation.spage	124
dc.citation.epage	146
dc.type	article
dc.language.iso	en
dc.publisher	Vilnius University
dc.relation.uri	http://www.transformations.knf.vu.lt/41/article/reve
dc.subject	banking sector	en
dc.subject	cost efficiency	en
dc.subject	revenue efficiency	en
dc.subject	DEA	en
dc.subject	European Union countries	en
dc.description.abstract	The purpose of this study is to examine the revenue and cost efficiency of banking sectors within the European Union during the period from 2008 to 2015 using the extension of basic Data Envelopment Analysis (DEA). The technique of advanced DEA is applied due to its flexibility to include multiple inputs and multiple outputs, and their prices to measure relative efficiency within the dataset under the defined criteria. After the estimation of efficiencies, the nonparametric test for equality of densities is used to test whether two given distributions, estimated nonparametrically via kernel smoothing, differ statistically. The relatively new methodology prepared by Li et al. (2009) is applied to examine the differences in terms of the size, European regions, and the crisis and no-crisis years.	en
utb.faculty	Faculty of Management and Economics
dc.identifier.uri	http://hdl.handle.net/10563/1007189
utb.identifier.obdid	43876640
utb.identifier.scopus	2-s2.0-85026536814
utb.identifier.wok	000402941200008
utb.source	j-wok
dc.date.accessioned	2017-09-03T21:39:58Z
dc.date.available	2017-09-03T21:39:58Z
dc.description.sponsorship	Slovak Scientific Grant Agency [VEGA1/0446/15]
utb.contributor.internalauthor	Belás, Jaroslav
utb.fulltext.affiliation	1Beata Gavurova Department of Banking and Investment, Faculty of Economics, Technical University of Košice Němcovej 32 040 01 Košice Slovakia Tel.:421 55 602 3267 E-mail: [email protected] 2Jaroslav Belas Department of Enterprise Economics Faculty of Management and Economics, Tomas Bata University in Zlín Mostní 5139 760 01 Zlín Czech Republic Tel.: 420 576 032 410 E-mail: [email protected] 3Kristina Kocisova Department of Banking and Investment, Faculty of Economics, Technical University of Košice Němcovej 32 040 01 Košice Slovakia Tel.: 421 55 602 2157 E-mail: [email protected] 4Rimantas Dapkus Business and Rural Development Management Institute Faculty of Economics and Management Aleksandras Stulginskis University Universiteto str. 10-323, LT – LT-53361 Akademija, Kaunas district Lithuania Tel.: 0037 752 214 E-mail: [email protected] 5Rasa Bartkute Department of Business Economics and Management Kaunas Faculty Vilnius University Muitinės st. 8 LT-44280, Kaunas Lithuania Tel.: 0037 037 422 344 E-mail: [email protected]
utb.fulltext.dates	Received: November, 2016 1st Revision: February, 2017 2nd Revision: February, 2017 Accepted: April, 2017
utb.fulltext.references	Aysan, A.F., Karakaya, M.M., Uyanik, M. (2011), “Panel stochastic frontier analysis of profitability and efficiency of Turkish banking sector in the post crisis era”, Journal of Business Economics and Management, Vol. 12, No 4, pp.629-654. 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, pp.1078-1092. Coelli, T.J., Rao, D.S.P., O’Donnell, C.J., Battese, G.E. (2005), An Introduction to Efficiency and Productivity Analysis, 2nd Edition, New York, Springer Science & Business Media, pp.183-188. Charnes, A., Cooper, W.W., Rhodes, E. (1978), “Measuring the efficiency of decision-making units”, European Journal of Operational Research, Vol. 2, No 6, pp.429-444. Cooper, W.W., Thompson, R.G., Thrall, R.M. (1996), “Introduction: Extensions and new developments in DEA”, Annals of operations Research, Vol. 66, No 1, pp.1-45. Farrell, M.J. (1957), “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society, Vol. 120, No 3, pp.253-290. Fries, S., Taci, A. (2005), “Cost efficiency of banks in transition: Evidence from 289 banks in 15 postcommunist countries”, Journal of Banking & Finance, Vol. 29, No 1, pp.55-81. Gallizo, J.L., Moreno, J., Salvador, M. (2015), “European banking integration: is foreign ownership affecting banking efficiency?”, Journal of Business Economics and Management, Vol. 16, No 2, pp.340-368. Hernaus, A.I., Stojanovic, A. (2015), “Determinants of bank social responsibility: case of Croatia”, E+M Ekonomie a Management, Vol. 18, No 2, pp.117-134. Irsova, Z., Havranek, T. (2013), “A meta-analysis of bank efficiency measurement in transitional countries”, Transformation in Business & Economics, Vol. 12, No 2, pp.163-183. Kumar, M., Charles, V., Mishra, C.S. (2016), “Evaluating the performance of Indian banking sector using DEA during post-reform and global financial crisis”, Journal of Business Economics and Management, Vol. 17, No 1, pp.156-172. Kuosmanen, T., Post, T. (2003), “Measuring economic efficiency with incomplete price information”, European Journal of Operational Research, Vol. 144, No 2, pp.454-457. Laeven, L., Valencia, F. (2012), “Systemic banking crises database: An update”, International Monetary Fund Working Paper, No WP/12/163, Washington, International Monetary Fund. Li, Q. (1996), “Nonparametric testing of closeness between two unknown distribution functions”, Econometric Reviews, Vol. 15, No 3, pp.261-274. Li, Q., Maasoumi, E., Racine, J.S. (2009), “A nonparametric test for equality of distributions with mixed categorical and continuous data”, Journal of Econometrics, Vol. 148, No 2, pp.186-200. Maudos, J., Pastor, J.M., Perez, F., Quesada, J. (2002), “Cost and profit efficiency in European banks”, Journal of International Financial Markets, Institutions and Money, Vol. 12, No 1, pp.33-58. Mishkin, F.S. (2009), The Economics of Money, Banking, and Financial Markets, 9th Edition, New Jersey, Prentice Hall, pp. 23-37. Nitoi, M. (2009), “Efficiency in the Roman banking system: An application of Data Envelope Analysis”, Romanian Journal of Economics, Vol. 29, No 2, pp.162-176. Pančurová, D., Lyócsa, S. (2013), “Determinants of commercial banks’ efficiency: Evidence from 11 CEE Countries”, Finance a Uver, Vol. 63, No 2, pp.152-179. Pasiouras, F., Tanna, S., Zopounidis, C. (2007), “The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches”, International Review of Financial Analysis, Vol. 16, No 3, pp.262-281. Prior, D., Tortosa-Ausina, E., García-Alcober, M., Illueca, M. (2016), “Costs, revenues and performance in Spanish banking: a comparative analysis of pre-and early crisis years”, Spanish Journal of Finance and Accounting, Vol. 45, No 3, pp.345-364. R core team. (2013), R: a language and environment for statistical computing, available at, http://www.rproject.org/, referred on 18/02/2017. Racine, J.S. (2012), Entropy-Based Inference using R and the np Package: A Primer, R package vignette, version 0.40-13, available at, http://CRAN. R-project. org/package= np, referred on 10/02/2017. Sufian, F., Habibullah, M.S. (2009), “Determinants of bank profitability in a developing economy: empirical evidence from Bangladesh”, Journal of Business Economics and Management, Vol. 10, No 3, pp.207-217. Vunjak, N., Milenković, N., Andrašić, J., Pjanić, M. (2015), “Stress Test Model for Measuring the Effects of the Economic Crisis on the Capital Adequacy Ratio”, Acta Polytechnica Hungarica, Vol. 12, No 5, pp.173-190. Weill, L. (2004), “Measuring cost efficiency in European banking: A comparison of frontier techniques”, Journal of Productivity Analysis, Vol. 21, No 2, pp.133-152.
utb.fulltext.sponsorship	Acknowledgement. Research behind this paper was supported by the Slovak Scientific Grant Agency within the project VEGA 1/0446/15.
utb.wos.affiliation	[Gavurova, Beata; Kocisova, Kristina] Tech Univ Kosice, Fac Econ, Dept Banking & Investment, Nemcovej 32, Kosice 04001, Slovakia; [Belas, Jaroslav] Tomas Bata Univ Zlin, Fac Management & Econ, Dept Enterprise Econ, Mostni 5139, Zlin 76001, Czech Republic; [Dapkus, Rimantas] Aleksandras Stulginskis Univ, Fac Econ & Management, Business & Rural Dev Management Inst, Univ Str 10-323, LT-53361 Akademija, Kaunas District, Lithuania; [Bartkute, Rasa] Vilnius Univ, Kaunas Fac, Dept Business Econ & Management, Muitines St 8, LT-44280 Kaunas, Lithuania