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Productivity change of Taiwanese farmers’ credit unions: a nonparametric metafrontier Malmquist–Luenberger productivity indicator

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Abstract

This study proposes a risk-adjusted productivity index based on the concept of the metfrontier. It can be decomposed into different sources beyond the change in technical efficiency and technology. Furthermore, as per the technology gap ratio existing in the relationship between a current (group-specific) technology and its potential technology (the metafrontier), there is a technology adjustment factor (TAF) in the relationship between the group-specific Malmquist–Luenberger productivity index and the metafrontier Malmquist–Luenberger productivity index. TAF can be further decomposed into the technology gap ratio change and the relative technology change of the meatfrontier to a group-specific technology (RTC). All the above components are measured by directional output distance functions which simultaneously accounts for desirable and undesirable outputs. Panel data of the Taiwanese credit departments of farmers’ associations covering the period 2006–2010 are illustrated to implement the above measurement and decomposition.

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References

  • Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092

    Article  Google Scholar 

  • Barros CP, Managi S, Matousek R (2012) The technical efficiency of the Japanese banks: non-radial directional performance measurement with undesirable output. Omega 40:1–8

    Article  Google Scholar 

  • Battese GE, Rao DSP (2002) Technology gap, efficiency, and a stochastic metafrontier function. Int J Bus Econ 1:87–93

    Google Scholar 

  • Battese GE, Rao DSP, O’Donnell CJ (2004) A metafrontier production function for estimation of technical efficiencies and technology potentials for firms operating under different technologies. J Prod Anal 21:91–103

    Article  Google Scholar 

  • Berger AN, Humphrey DB (1997) Efficiency of financial institutions: international survey and directions for future research. Eur J Oper Res 98:175–212

    Article  Google Scholar 

  • Boussemart JP, Briec W, Kerstens K, Poutineau JS (2003) Luenberger and Malmquist productivity indices theoretical comparisons and empirical illustration. Bull Econ Res 55:391–405

    Article  Google Scholar 

  • Caves DW, Christensen LR, Diewert WE (1982) The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 50:1393–1414

    Article  Google Scholar 

  • Chambers RG, Chung YH, Färe R (1996a) Benefit and distance functions. J Econ Theory 70:407–419

    Article  Google Scholar 

  • Chambers RG, Färe R, Grosskopf S (1996b) Productivity growth in APEC countries. Pac Econ Rev 1: 181–190

    Google Scholar 

  • Chang CC (1999) The nonparametric risk-adjusted efficiency measurement: an application to Taiwan’s major rural financial intermediaries. Am J Agric Econ 81:902–913

    Article  Google Scholar 

  • Chen KH, Huang YJ, Yang CH (2009) Analysis of regional productivity growth in China: a generalized metafrontier MPI approach. Chin Econ Rev 20:777–792

    Article  Google Scholar 

  • Chen KH, Yang HY (2008) Extensions of the metafrontier Malmquist productivity index: an empirical study with cross-country macro-data. Taiwan Econ Rev 36:551–588

    Google Scholar 

  • Chen KH, Yang HY (2011) A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China. J Product Anal 35:197–212

    Article  Google Scholar 

  • Chen PC, Yu MM, Chang CC, Hsu SH (2007) Productivity change in Taiwan’s farmers’ credit unions: a nonparametric risk-adjusted Malmquist approach. Agric Econ 36:221–231

    Article  Google Scholar 

  • Chen Y, Ali AI (2004) DEA Malmquist productivity measure: new insights with an application to computer industry. Eur J Oper Res 159:239–249

    Article  Google Scholar 

  • Chung YH, Färe R, Grosskopf S (1997) Productivity and undesirable outputs: a directional distance function approach. J Environ Manag 51:229–240

    Google Scholar 

  • Färe R, Grosskopf S, Norris M, Zhang Z (1994) Productivity growth, technical progress, and efficiency change in industrialized countries. Am Econ Rev 84:6–83

    Google Scholar 

  • Färe R, Grosskopf S, Pasurka CA Jr (2001) Accounting for air pollution emissions in measures of state manufacturing productivity growth. J Reg Sci 41:381–409

    Article  Google Scholar 

  • Färe R, Grosskopf S, Pasurka CA Jr (2007) Environmental production functions and environmental directional distance functions. Energy 32:1055–1066

    Article  Google Scholar 

  • Fethi MD, Pasiouras F (2010) Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey. Eur J Oper Res 204:189–198

    Article  Google Scholar 

  • Fukuyama H, Weber WL (2008) Japanese banking inefficiency and shadow pricing. Math Comput Model 48:1854–1867

    Article  Google Scholar 

  • Fukuyama H, Weber WL (2009) Estimating indirect allocative inefficiency and productivity change. J Oper Res Soc 60:1594–1608

    Article  Google Scholar 

  • Fukuyama H, Weber WL (2010) A slacks-based inefficiency measure for a two-stage system with bad outputs. Omega 38:398–409

    Article  Google Scholar 

  • Kumar S (2006) Environmentally sensitive productivity growth: a global analysis using Malmquist-Luenberger index. Ecol Econ 56:280–293

    Article  Google Scholar 

  • Lee WF, Fan YJ (2010) Evaluating the performance of the Taiwanese banking industry: an application of the Luenberger productivity indicator. Taiwan Econ Rev 38:593–627

    Google Scholar 

  • Li Y (2005) DEA efficiency measurement with undesirable outputs: an application to Taiwan’s commercial banks. Int J Serv Technol Manag 6:544–555

    Article  Google Scholar 

  • Malmquist S (1953) Index numbers and indifference surfaces. Trab Estat 4:209–242

    Article  Google Scholar 

  • Maniakakis N, Thanassoulis E (2004) A cost Malmquist productivity index. Eur J Oper Res 154:396–409

    Article  Google Scholar 

  • O’Donnell CJ, Rao DSP, Battese GE (2008) Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empir Econ 34:231–255

    Article  Google Scholar 

  • Oh DH (2010) Metafrontier approach for measuring an environmentally sensitive productivity growth index. Energy Econ 32:146–157

    Article  Google Scholar 

  • Oh DH, Lee JD (2010) A metafrontier approach for measuring Malmquist productivity index. Empir Econ 38:47–64

    Article  Google Scholar 

  • Park KH, Weber WL (2006) A note on efficiency and productivity growth in the Korean Banking industry, 1992–2002. J Banking Financ 30:2371–2386

    Article  Google Scholar 

  • Pastor JT, Asmild M, Lovell CAK (2011) The biennial Malmquist productivity change index. Socio Econ Plan Sci 45:10–15

    Article  Google Scholar 

  • Portela MCAS, Thanassoulis E (2010) Malmquist-type indices in the presence of negative data: an application to bank branches. J Banking Financ 34:1472–1483

    Article  Google Scholar 

  • Tohidi G, Razavyan S (2013) A circular global profit Malmquist productivity index in data envelopment analysis. Appl Math Model 37:216–227

    Article  Google Scholar 

  • Yu MM, Hsu SH, Chang CC, Lee DH (2008) Productivity growth of Taiwan’s major domestic airports in the presence of aircraft noise. Transp Res Part E Logist Transp Rev 44:543–554

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank two anonymous referees and the Editors of Central European Journal of Operations Research for their valuable comments and suggestions.

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Correspondence to Jia-Ching Juo.

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Juo, JC., Lin, YH. & Chen, TC. Productivity change of Taiwanese farmers’ credit unions: a nonparametric metafrontier Malmquist–Luenberger productivity indicator. Cent Eur J Oper Res 23, 125–147 (2015). https://doi.org/10.1007/s10100-013-0307-6

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