Financial and Operative Cost EfficiencySpanish Savings Banks in Pre-Crisis Period
- María Concepción Pérez-Cárceles 1
- Juan Cándido Gómez-Gallego 1
- Juan Gómez-García 2
-
1
Universidad Católica San Antonio
info
-
2
Universidad de Murcia
info
ISSN: 1133-3197, 1697-5731
Año de publicación: 2015
Título del ejemplar: El futuro de los métodos cuantitativos en economía aplicada: la herencia de Klein
Volumen: 33
Número: 2
Páginas: 633-648
Tipo: Artículo
Otras publicaciones en: Estudios de economía aplicada
Resumen
With the aim of knowing if a relationship exists between cost inefficiency and instability of financial entities before the 2008 financial crisis, a stochastic frontier approach is applied to Spanish savings banks in the period (2002-2007). Moreover, translog financial and operative cost functions are estimated by Maximum-Likelihood to determine the influence of each field of cost efficiency on financial instability. The results show that biggest inefficiencies are associated with operative cost, so management policies should be specially oriented to reduction of physical capital. On the other hand, the financial covariates show that the most effective strategies in this field consist of looking for advantages in deposits market and increases in resources and in quality of assets through provisions.
Referencias bibliográficas
- AIGNER, D.; LOVELL, C.A. and SCHMIDT, P. (1977). “Formulation and estimation of stochastic frontier production models”. Journal of Econometrics, 6(1), pp. 21-37.
- ALTUNBAS, Y.; CARBÓ, S.; GARDENER, E.P.M. and MOLYNEUX, P. (2007). “Examining the relationships between capital, risk and efficiency in European banking”. European Financial Management, 13(1), pp. 49-70.
- BATTESE, G.E. and COELLI, T.J. (1992). “Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India”. Journal of Productivity Analysis, 3(1), pp. 153-169.
- BATTESE, G.E. and COELLI, T.J. (1995). “A model for technical inefficiency effects in a stochastic frontier production function for panel data”. Empirical Economics, 20(1), pp. 325-332.
- BERGER, A. (1993). “Distribution-Free estimates of efficiency in the U.S. banking industry and tests of the standard distributional assumptions. Journal of Productivity Analysis, 4, pp. 261-292.
- BERGER, A. and HUMPHREY, D. (1991). “The dominance of inefficiencies over scale and product mix economies in banking”. Journal of Monetary Economics, 28, pp. 117-148.
- BERGER, A. and HUMPHREY, D. (1997). “Efficiency of financial institutions: international survey and directions for future research”. European Journal of Operational Research, 98(2), pp. 175-212.
- BERGER, A. and MESTER, L. (1997). “Inside the black box: What explains differences in the efficiencies of financial institutions?”. Journal of Banking and Finance, 21, pp. 895-947.
- BONIN, J.; HASAN, I. and WACHTEL, P. (2005). “Bank performance, efficiency and ownership in transition countries”. Journal of Banking and Finance, 29(1), pp. 31-53.
- BOS, J.W.B.; KOETTER, M.; KOLARI, J.W. and KOOL, C.J.M. (2009). “Effects of heterogeneity on bank efficiency scores”. European Journal of Operational Research, 195(1), pp. 251-261.
- BOS, J.W.B. and SCHMIEDEL, H. (2007). “Is there a single frontier in a single European banking market?”. Journal of Banking and Finance, 31(7), pp. 2081-2102.
- CARBÓ, S.; GARDENER, E.P.M. and WILLIAMS, J. (2002). “Efficiency in banking: empirical evidence from the savings banks sector”. The Manchester School, 70(2), pp. 204-228.
- CARBÓ, S.; HUMPHREY, D. and LÓPEZ DEL PASO, R. (2004). “Eficiencias externa, técnica, interna y de gestión de las entidades financieras”. Papeles de Economía Española, 101(1), pp. 212-220.
- CARVALLO, O. and KASMAN, K. (2005). “Cost efficiency in the Latin American and Caribbean banking systems”. Journal of International Financial Markets, Institutions and Money, 15(1), pp. 55-72.
- CASU, B. and GIRARDONE, C. (2004). “Financial conglomeration: efficiency, productivity and strategic drive”. Applied Financial Economics, 14(10), pp. 687-696.
- CHANG, T. and CHIU, Y. (2006). “Affecting factors on risk-adjusted efficiency in Taiwan's banking industry”. Contemporary Economic Policy, 24(4), pp. 634-648.
- CHARNES, A.; COOPER, W.W. and RHODES, E. (1978). “Measuring the efficiency of Decision Making Units”. European Journal Operational Research, 2, pp. 429-444.
- CHORTAREAS, G.E.; GIRARDONE, C. and Ventouri, A. (2013). “Financial freedom and bank efficiency: evidence from the European Union”. Journal of Banking and Finance, 37(4), pp. 1223-1231.
- COELLI, T.J. (1995). “Estimators and hypothesis tests for a stochastic frontier function: a Monte Carlo analysis”. Journal of Productivity Analysis, 6(3), pp. 247-268.
- COELLI, T.J. (1996). A guide to FRONTIER version 4.1: a computer program for frontier production function estimation, University of New England.
- COELLI, T.J.; RAO, D.S.P. and BATTESE, G.E. (1998). An introduction to efficiency and productivity analysis (Chapter 8), Massachusetts: Kluwer Academic Publishers.
- CORNWELL, C.; SCHIMDT, P. and SICKLES, C. (1990). “Production frontiers with cross-sectional and time-series variation in efficiency levels”. Journal of Econometrics, 46(1-2), pp. 185-200.
- CRESPÍ, R.; GARCÍA-CESTONA, M. and SALAS, V. (2004). “Governance mechanisms in Spanish banks. Does ownership matter?”. Journal of Banking and Finance, 28(10), pp. 2311-2330.
- DIOS, R.; MARTÍNEZ, J.M. and MARTÍNEZ-CARRASCO, F. (2006). “El análisis de eficiencia con variables de entorno: un método de programas con tres etapas”. Estudios de Economía Aplicada, 24(1), pp. 477-497.
- FITZPATRICK, T. and MCQUINN, F. (2005). “Cost efficiency of UK and Irish credit institutions”. The Economic and Social Review, 36(1), pp. 45-66.
- GÓMEZ-GALLEGO, J.C.; GÓMEZ-GARCÍA, J. and PÉREZ-CÁRCELES, M.C. (2012). “Appropriate distribution of cost inefficiency estimates as predictor of financial instability”. Estudios de Economía Aplicada, 30(3), pp. 1071.
- GREENE, W.H. (1980). “Maximum likelihood estimation of econometric frontier functions”. Journal of Econometrics, 13(1), pp. 27-56.
- GRIGORIAN, D. and MANOLE, V. (2002). “Determinants of commercial bank performance in transition: an application of Data Envelopment Analysis”. Comparative Economic Studies, 48(3), pp. 497-522.
- HAN, Y.; KIM, M.H. and KIM, W.J. (2012). “Determinants of profit efficiency: evidence from Korean savings banks”. Applied Financial Economics, 22(12), pp. 1003-1016.
- HASAN, I. and MARTON, K. (2003). “Development and efficiency of the banking sector in a transitional economy: Hungarian experience”. Journal of Banking and Finance, 27(12), pp. 2249-2271.
- JONDROW, J.; LOVELL, C.A.K.; MATEROV, Y.S. and SCHMIDT, P. (1982). “On the estimation of technical inefficiency in the stochastic frontier production function model”. Journal of Econometrics, 19(2-3), pp. 233-238.
- LOZANO-VIVAS, A. and PASIOURAS, F. (2010). “The impact of non-traditional activities on the estimation of bank efficiency: international evidence”. Journal of Banking and Finance, 34(7), pp. 1436-1449.
- MAUDOS, J. and PASTOR, J.M. (2003). “Cost and profit efficiency in the Spanish banking sector (1985-96): a non-parametric approach”. Applied Financial Economics, 13(1), pp. 1-12.
- MEEUSEN, W. and VAN DEN BROECK, J. (1977). “Efficiency estimation from CobbDouglas production functions with composed error”. International Economic Review, 18(2), pp. 435-444.
- MESTER, L.J. (1993). “Efficiency in the savings and loan industry”. Journal of Banking and Finance, 17(2-3), pp. 267-286.
- MESTER, L.J. (1997). “Measuring efficiency at U.S. banks: accounting for heterogeneity is important”. European Journal of Operational Research, 98(2), pp. 230-242.
- NGUYEN, P.A.H. (2012). “Performance efficiency of Spanish savings banks: an agentbased model of market concentration and competition”. Working Paper, Weber State University.
- NIKIEL, E. and OPIELA, T. (2002). “Customer type and bank efficiency in Poland: implycations for emerging market banking”. Contemporary Economic Policy, 20(3), pp. 244-271.
- ORTEGA, F.J. and GAVILÁN, J.M. (2014). “A comparison between Maximum Likelihood and Bayesian Estimation of Stochastic Frontier Production Models”. Communications in Statistics-Simulation and Computation, 43, pp. 1714-1725.
- PASIOURAS, F. (2008). “Estimating the technical and scale efficiency of Greek commercial banks: the impact of credit risk, off-balance sheet activities and international operations”. Research in International Business and Finance, 22(3), pp. 301-318.
- PITT, M.M. and LEE, L.F. (1981). “The measurement and sources of technical inefficiency in the Indonesian weaving industry”. Journal of Development Economics, 9(1), pp. 43-64.
- RICHMOND, J. (1974). “Estimating the efficiency of production”. International Economic Review, 15(2), pp. 515-521.
- SCHMIDT, P. and SICKLES, R.C. (1984). “Production frontiers and panel data”. Journal of Business and Economic Statistics, 2(4), pp. 367-374.
- SHERMAN, H.D. and GOLD, F. (1985). “Bank branch operating efficiency”. Journal of Banking and Finance, 9(2), pp. 297-315.
- TORTOSA-AUSINA, E.; GRIFELL-TATJÉ, E.; ARMERO, C. and CONESA, D. (2008). “Sensitivity analysis of efficiency and Malmquist productivity índices: an application to Spanish savings banks”. European Journal of Operational Research, 184(3), pp. 1062-1084.
- VAN DEN BROEK, J.; KOOP, G.; OSIEWALSKI, J. and STEEL, M.F.J. (1994). “Stochastic frontier models. A Bayesian perspective”. Journal of Econometrics, 61, pp. 273-303.
- WEILL, L. (2004). “Measuring cost efficiency in European banking: a comparison of frontier techniques”. Journal of Productivity Analysis, 21(2), pp. 133-152.
- WEILL, L. (2009). “Convergence in banking efficiency across European countries”. Journal of International Financial Markets, Institutions and Money, 19(5), pp. 818-833.
- YILDIRIM, H.S.; GEORGE, C. and PHILIPPATOS, G.C. (2007). “Efficiency of banks: recent evidence from the transition economies of Europe, 1993-2000”. European Journal of Finance, 13(2), pp. 123-143.
- ZAJC, P. (2006). “A comparative study of bank efficiency in Central and Eastern Europe: the role of foreign ownership”. International Finance Review, 6(1), pp. 117-156.