Skip to main content
Log in

Market share and performance in Taiwanese banks: min/max SBM DEA

  • Original Paper
  • Published:
TOP Aims and scope Submit manuscript

Abstract

This research used a min/max slacks-based measure data envelopment analysis (SBM DEA) to explore the operational efficiency of 37 banks in Taiwan from 2012 to 2016, with the main research goals being to analyze bank efficiency, compare the differences in the average efficiency values of two models, and identify the need for improvements in the inputs and outputs, from which it was found: (1) the average efficiency of the SBM-max model for each year was higher than the SBM-min model. (2) The best input performance was “deposits”, and the worst input was “the number of employees.” The best output performance was “loans”, and the worse output was “investments”. (3) The average efficiency of the finance holding company subsidiary banks was higher than the non-finance holding banks, the average efficiency of the large-scale banks was higher than the small-scale banks, and the average efficiency of banks with high deposit and loan market share was higher than banks with low deposits and loan market share.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Akeem UO, Moses F (2014) An empirical analysis of allocative efficiency of Nigerian commercial banks: a DEA approach. Int J Econ Fin 4(3):465–475

    Google Scholar 

  • Akther S, Fukuyama H, Weber WL (2013) Estimating two-stage network slacks based inefficiency: an application to Bangladesh banks. Omega 41:88–96

    Article  Google Scholar 

  • Bahrini R (2017) Efficiency analysis of Islamic banks in the Middle East and North Africa region: a Bootstrap DEA approach. Int J Fin Stud 5(1–10):1–12

    Google Scholar 

  • Baten A, Kasim MM, Rahman M (2015) Efficiency and productivity change of selected online banks in Bangladesh: a non-parametric Malmquist approach. J Internet Bank Commerce 20(3):1–16

    Google Scholar 

  • Bell F, Murphy N (1976) Costs in commercial banking: a quantitative analysis of bank behavior and its relation to bank regulation. Research report, 41. Federal Research Bank, Boston

  • Benli YK, Degirmen S (2013) The application of data envelopment analysis based Malmquist total factor productivity index: empirical evidence in Turkish banking sector. Panoeconomicus 60(2):139–159

    Article  Google Scholar 

  • Bhattacharyya A, Lovell CAK, Sahary P (1997) The impact of liberalization on the productive efficiency of Indian commercial banks. Eur J Oper Res 98(2):332–345

    Article  Google Scholar 

  • Cava PB, Junior APS, de Branco AMF (2016) Evaluation of bank efficiency in Brazil: a DEA approach. Revista de Administração Mackenzie 17(4):62–84

    Article  Google Scholar 

  • Chen TY, Yeh TL (2000) A measurement of bank efficiency, ownership and productivity change. Serv Ind J 20(1):95–109

    Article  Google Scholar 

  • Chen MJ, Chiu YH, Jan CL, Chen YC, Liu HH (2015) Efficiency and risk in commercial banks—hybrid DEA estimation. Glob Econ Rev 44(3):335–352

    Article  Google Scholar 

  • Chiu C, Chiu Y, Chen Y, Fang C (2016) Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output. Pacific-Basin Finance J 36:1–13

    Article  Google Scholar 

  • de Branco AMF, Junior APS, Cava PB, Carneiro M (2016) Efficiency of the Brazilian banking system: an assessment using DEA under three approaches. J Appl Fin Bank 6(4):27–42

    Google Scholar 

  • Erasmus C, Makina D (2014) An empirical study of bank efficiency in South Africa using the standard and alternative approaches to data envelopment analysis (DEA). J Econ Behav Stud 6(4):310–317

    Google Scholar 

  • Ferrier GD, Lovell CAK (1990) Measuring cost efficiency in banking: econometric and linear programming evidence. J Econometr 46:229–245

    Article  Google Scholar 

  • Fukuyama H, Matousek R (2016) Modelling bank performance: a network DEA approach. Eur J Oper Res 259:721–732

    Article  Google Scholar 

  • Fukuyama H, Weber WL (2015) Measuring Japanese bank performance: a dynamic network DEA approach. J Prod Anal 44(3):249–264

    Article  Google Scholar 

  • Fukuyama H, Guerra R, Weber WL (1999) Efficiency and ownership: evidence from japanese credit cooperatives. J Econ Bus 51:473–487

    Article  Google Scholar 

  • Grigoroudis E, Tsitsiridi E, Zopounidis C (2013) Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector. Ann Oper Res 205:5–27

    Article  Google Scholar 

  • Hassan H, Jreisat A (2016) Does bank efficiency matter? A case of Egypt. Int J Econ Fin Issues 6(2):473–478

    Google Scholar 

  • Hu JL, Wang SC (2006) Total-factor energy efficiency of regions in China. Energy Policy 34(17):3206–3217

    Article  Google Scholar 

  • Kao C, Liu ST (2014) Multi-period efficiency measurement in data envelopment analysis: the case of Taiwanese commercial banks. Omega 47:90–98

    Article  Google Scholar 

  • Kumar S, Gulati R (2008) Evaluation of technical efficiency and ranking of public sector banks in India. Int J Prod Perform Manag 57(7):540–568

    Article  Google Scholar 

  • Lee CW, Peng CJ, Fu WC (2015) Study on efficiency sustainability of Taiwan’s bank performance under a dynamic framework. J Appl Fin Bank 5(2):1–17

    Google Scholar 

  • Liang L, Cook WD, Zhu J (2008) DEA models for two-stage processes: game approach and efficiency decomposition. Naval Res Log 55:643–653

    Article  Google Scholar 

  • Moradi-Motlagh A, Valadkhani A, Saleh AS (2015) Rising efficiency and cost saving in australian banks: a bootstrap approach. Appl Econ Lett 22(1–3):189–194

    Article  Google Scholar 

  • Radojicic M, Savic G, Radovanovic S, Jeremic V (2015) A novel bootstrap DBA-DEA approach in evaluating efficiency of banks. Sci Bull Mircea cel Batran Naval Acad 18(2):375–384

    Google Scholar 

  • Sanjeev GM (2007) Does banks’ size matter in India? J Serv Res 6(2):135–144

    Google Scholar 

  • Schaffnit C, Rosen D, Paradi JC (1997) Best practice analysis of bank branches: an application of DEA in a large Canadian bank. Eur J Oper Res 98(2):269–289

    Article  Google Scholar 

  • Seiford LM, Zhu J (1999) Profitability and marketability of the top 55 US commercial banks. Manag Sci 45(9):1270–1288

    Article  Google Scholar 

  • Shafiee M, Sangi M, Ghaderi M (2013) Bank performance evaluation using dynamic DEA: a slacks-based measure approach. J Data Envel Anal Decis Sci 2013:1–12

    Google Scholar 

  • Singh RI, Kaur S (2016) Efficiency and profitability of public and private sector banks in India: data envelopment analysis approach. IUP J Bank Manag 15(1):50–68

    Google Scholar 

  • Sueyoshi T (1999) DEA-discriminate analysis in the view of goal programming. Eur J Oper Res 115:564–582

    Article  Google Scholar 

  • Sufian F, Noor MA (2009) The determinants of Islamic banks’ efficiency changes. Int J Islamic Middle East Fin Manag 2(2):120–138

    Article  Google Scholar 

  • Tone K (2001) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130(3):498–509

    Article  Google Scholar 

  • Tone K (2016) Data envelopment analysis as a Kaizen tool: SBM variations revisited. Bull Math Sci Appl 16:49–61

    Google Scholar 

  • Tsolas IE (2011) Bank branch-level DEA to assess overall efficiency. EuroMed J Bus 6(3):359–377

    Article  Google Scholar 

  • Tuskan B, Stojanovic A (2016) Measurement of cost efficiency in the European banking industry. Croat Oper Res Rev 7(1):47–66

    Article  Google Scholar 

  • Wanke P, Barros C (2013) Two-stage DEA: an application to major Brazilian banks. Expert Syst Appl Int J 41:2337–2344

    Article  Google Scholar 

  • Wild J (2016) Efficiency and risk convergence of Eurozone financial markets. Res Int Bus Fin 36:196–211

    Article  Google Scholar 

  • Wong WP, Deng Q (2016) Efficiency analysis of banks in ASEAN countries. Benchmarking 23(7):1798–1817

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 71773082);

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yung-ho Chiu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Chiu, Yh., Lin, TY. et al. Market share and performance in Taiwanese banks: min/max SBM DEA. TOP 27, 233–252 (2019). https://doi.org/10.1007/s11750-019-00504-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11750-019-00504-6

Keywords

Navigation