Non-oriented slack-based decompositions of profit change with an application to Taiwanese banking

A change in profit can originate from the output side and the input side. In the spirit of work by Tone [1] and follows Grifell-Tatje and Lovell's [2], we propose a non-oriented slacks-based measure (SBM) model to decompose the change in the operating profit into various meaningful components: quantity effect and a price effect. The quantity effect can be decomposed into a productivity effect and an activity effect. The productivity effect is further decomposed into a technical effect and an operating efficiency effect. Both of them include an output side, which will result in a change in revenue and an input side which will result in a change in cost. The activity effect can be decomposed into a product mix effect, a resource mix effect and a scale effect. We illustrate our decompositions to the Taiwanese banking sector during the period 1994–2002 using the average of the base and current prices to evaluate these contributions. We find ignoring input side effects on the decomposition of profit changes would cause misleading results in managerial issues.

[1]  S. Managi,et al.  The technical efficiency of the Japanese banks : non-radial directional performance measurement with undesirable output , 2012 .

[2]  Tser-Yieth Chen,et al.  A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan , 2002, J. Oper. Res. Soc..

[3]  Biresh K. Sahoo,et al.  Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application , 2011 .

[4]  Kokin Lam,et al.  Operational competitiveness analysis on software development , 1997 .

[5]  Harold O. Fried,et al.  Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency , 1999 .

[6]  Milind Sathye,et al.  Efficiency of banks in a developing economy: The case of India , 2003, Eur. J. Oper. Res..

[7]  Rolf Färe,et al.  Directional distance functions and slacks-based measures of efficiency , 2010, Eur. J. Oper. Res..

[8]  Emili Grifell-Tatjé,et al.  Profits and Productivity , 1999 .

[9]  A. Alchian,et al.  Some Economics of Property Rights , 1965 .

[10]  Arnold Reisman,et al.  The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis , 2003 .

[11]  D. Margaritis,et al.  Profit efficiency under a directional technology distance function approach , 2009 .

[12]  R. Chambers Exact nonradial input, output, and productivity measurement , 2002 .

[13]  Abraham Charnes,et al.  Programming with linear fractional functionals , 1962 .

[14]  Elena Beccalli,et al.  Efficiency and Stock Performance in European Banking , 2003 .

[15]  S. Fries,et al.  Cost Efficiency of Banks in Transition: Evidence from 289 Banks in 15 Post-Communist Countries , 2005 .

[16]  D. Giokas,et al.  A Study of the Relative Efficiency of Bank Branches: An Application of Data Envelopment Analysis , 1990 .

[17]  Kaoru Tone,et al.  Decomposing capacity utilization in data envelopment analysis: An application to banks in India , 2009, Eur. J. Oper. Res..

[18]  Kaoru Tone,et al.  Radial and non-radial decompositions of profit change: With an application to Indian banking , 2009, Eur. J. Oper. Res..

[19]  Yung‐ho Chiu,et al.  Efficiency and capital adequacy in Taiwan banking: BCC and super-DEA estimation , 2008 .

[20]  Kaoru Tone,et al.  A slacks-based measure of super-efficiency in data envelopment analysis , 2001, Eur. J. Oper. Res..

[21]  Hiroshi Morita,et al.  Efficiency improvement from multiple perspectives: An application to Japanese banking industry , 2013 .

[22]  Boaz Golany,et al.  Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions , 1985 .

[23]  John C.S. Tang,et al.  The evaluation of bank branch performance using data envelopment analysis: A framework , 2002 .

[24]  Prithwiraj Nath,et al.  Resource, service quality and performance triad: a framework for measuring efficiency of banking services , 2003, J. Oper. Res. Soc..

[25]  William W. Cooper,et al.  Evaluating Water Supply Services in Japan with RAM: a Range-adjusted Measure of Inefficiency , 1998 .

[26]  Philip Molyneux,et al.  Total factor productivity and shareholder returns in banking. , 2010 .

[27]  Loretta J. Mester,et al.  Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions? , 1997 .

[28]  Yung-Ho Chiu,et al.  Affecting Factors on Risk-Adjusted Efficiency in Taiwan's Banking Industry , 2006 .

[29]  R. R. Russell,et al.  Measures of technical efficiency , 1985 .

[30]  Yu-Chuan Chen,et al.  The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk , 2009 .

[31]  Rulon D. Pope,et al.  Aggregate Productivity Measures , 1996 .

[32]  Saibal Ghosh,et al.  Financial deregulation and profit efficiency: A nonparametric analysis of Indian banks , 2009 .

[33]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[34]  David V. Conesa,et al.  Bootstrapping profit change: An application to Spanish banks , 2012, Comput. Oper. Res..

[35]  Rolf Färe,et al.  The effect of risk-based capital requirements on profit efficiency in banking , 2004 .

[36]  Rolf Färe,et al.  Measuring the technical efficiency of production , 1978 .

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

[38]  Fotios Pasiouras,et al.  Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey , 2009, Eur. J. Oper. Res..

[39]  J. M. Pastor,et al.  Cost and profit efficiency in the Spanish banking sector (1985–1996): a non-parametric approach , 2003 .

[40]  M. Hall,et al.  The Impact of Macroeconomic and Regulatory Factors on Bank Efficiency: A Non-Parametric Analysis of Hong Kong's Banking System , 2005 .

[41]  Hao-Chen Huang,et al.  Rating the relative efficiency of financial holding companies in an emerging economy: A multiple DEA approach , 2009, Expert Syst. Appl..

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

[43]  Rajiv D. Banker,et al.  Productivity Measurement and Management Accounting , 1989 .

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

[45]  Jeh-Nan Pan,et al.  Evolving the latent variable model as an environmental DEA technology , 2013 .

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

[47]  Necmi K. Avkiran,et al.  Opening the black box of efficiency analysis: An illustration with UAE banks , 2009 .

[48]  Allen N. Berger International Comparisons of Banking Efficiency , 2007 .