Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches

This paper analyzes the productivity and efficiency of Shinkin banks and the various prefectures in Japan, over the period from 2000 to 2006. We obtain estimates of efficiency growth and productivity growth, using the bootstrapped Malmquist index, and estimates of efficiency using the Bayesian distance frontier approach. We confirm that the efficiency growth and productivity growth of Shinkin banks did not improve significantly over the period of this study. In addition, we show that the efficiency of Shinkin banks is homogenous, with little variation across the banks analyzed. Methodologically, we also prove that a failure to impose theoretical regularity on the distance function could lead to false conclusions about the average efficiency or efficiency ranking of Shinkin banks. The study also includes an analysis of the correlates of productivity and efficiency growth, and provides efficiency and productivity estimates of the prefectures in which the banks are located.

[1]  C. W. Sealey,et al.  Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions , 1977 .

[2]  D. Primont,et al.  Multi-Output Production and Duality: Theory and Applications , 1994 .

[3]  Beverly Hirtle,et al.  The Impact of Network Size on Bank Branch Performance , 2005 .

[4]  Léopold Simar,et al.  Estimating and bootstrapping Malmquist indices , 1999, Eur. J. Oper. Res..

[5]  R. Färe,et al.  Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach , 1994 .

[6]  R. Lensink,et al.  Bank efficiency and foreign ownership: Do good institutions matter? , 2008 .

[7]  William L. Weber,et al.  Profitability of Korean banks: Test of market structure versus efficient structure , 2006 .

[8]  Hirofumi Fukuyama,et al.  Estimating Inefficiency, Technological Change and Shadow Prices of Problem Loans for Regional Banks and Shinkin Banks in Japan , 2008 .

[9]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[10]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[11]  Leigh Drake,et al.  Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector , 2009 .

[12]  Rudi Vander Vennet,et al.  Competition versus Efficiency: What Drives Franchise Values in European Banking? , 2008 .

[13]  Consolidation of Cooperative Banks (Shinkin) in Japan:Motives and Consequences , 2006 .

[14]  A. R. Rao,et al.  Linear algebra , 1961 .

[15]  K. Kauko Managers and Efficiency in Banking , 2007 .

[16]  Gary Koop,et al.  Bayesian efficiency analysis through individual effects: Hospital cost frontiers , 1997 .

[17]  Timothy Coelli,et al.  A Bayesian Approach to Imposing Curvature on Distance Functions , 2005 .

[18]  Takatoshi Ito,et al.  Bank Fragility in Japan, 1995-2003 , 2004, SSRN Electronic Journal.

[19]  Allen N. Berger,et al.  Bank Ownership and Efficiency in China: What Will Happen in the World's Largest Nation? , 2006 .

[20]  William L. Weber,et al.  A directional slacks-based measure of technical inefficiency , 2009 .

[21]  Hirofumi Fukuyama,et al.  Estimating output gains by means of Luenberger efficiency measures , 2005, Eur. J. Oper. Res..

[22]  Hirofumi Fukuyama,et al.  Efficiency and ownership: evidence from Japanese credit cooperatives , 1999 .

[23]  M. Steel,et al.  Stochastic frontier models: a bayesian perspective , 1994 .

[24]  Hirofumi Uchida,et al.  Market discipline and bank efficiency , 2009 .

[25]  Emmanuel Thanassoulis,et al.  Malmquist-type indices in the presence of negative data: An application to bank branches , 2010 .

[26]  Allen N. Berger,et al.  The Efficiency of Bank Branches , 1997 .

[27]  Hirofumi Fukuyama,et al.  Returns to scale and efficiency of credit associations in Japan: A nonparametric frontier approach , 1996 .

[28]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[29]  Apostolos Serletis,et al.  Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity , 2010 .

[30]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[31]  John Geweke,et al.  Exact Inference in the Inequality Constrained Normal Linear Regression Model , 1986 .

[32]  Allen N. Berger,et al.  Efficiency of financial institutions: International survey and directions for future research , 1997 .

[33]  M. Hall,et al.  Efficiency in Japanese banking: An empirical analysis , 2003 .

[34]  Hirofumi Fukuyama,et al.  Japanese banking inefficiency and shadow pricing , 2008, Math. Comput. Model..

[35]  M. Steel,et al.  Posterior analysis of stochastic frontier models using Gibbs sampling , 1994 .

[36]  Jin-Li Hu,et al.  The sources of bank productivity growth in China during 2002-2009: A disaggregation view , 2012 .

[37]  P. Bauer Recent developments in the econometric estimation of frontiers , 1990 .

[38]  Dale J. Poirier,et al.  Intermediate Statistics and Econometrics: A Comparative Approach , 1995 .

[39]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[40]  W. Eichhorn,et al.  Models and Measurement of Welfare and Inequality , 1994 .

[41]  Jan-Egbert Sturm,et al.  Characteristics determining the efficiency of foreign banks in Australia , 2008 .

[42]  C. Lovell,et al.  RESOURCES AND FUNCTIONINGS: A NEW VIEW OF INEQUALITY IN AUSTRALIA , 1994 .