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

Author

Listed:
  • Ying Li

    (Sichuan University)

  • Yung-ho Chiu

    (Soochow University)

  • Tai-Yu Lin

    (Soochow University)

  • Yun Yuan Huang

    (Soochow University)

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.

Suggested Citation

  • Ying Li & Yung-ho Chiu & Tai-Yu Lin & Yun Yuan Huang, 2019. "Market share and performance in Taiwanese banks: min/max SBM DEA," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(2), pages 233-252, July.
    • Handle: RePEc:spr:topjnl:v:27:y:2019:i:2:d:10.1007_s11750-019-00504-6
    DOI: 10.1007/s11750-019-00504-6
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    as
    1. Hassan Hassan & Ammar Jreisat, 2016. "Does Bank Efficiency Matter? A Case of Egypt," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 473-478.
    2. Yasemin Keskin Benli & Suleyman Degirmen, 2013. "The Application of Data Envelopment Analysis Based Malmquist Total Factor Productivity Index: Empirical Evidence in Turkish Banking Sector," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 60(2), pages 139-159, April.
    3. Hirofumi Fukuyama & William Weber, 2015. "Measuring Japanese bank performance: a dynamic network DEA approach," Journal of Productivity Analysis, Springer, vol. 44(3), pages 249-264, December.
    4. Usman Owolabi Akeem & Fadipe Moses, 2014. "An Empirical Analysis of Allocative Efficiency of Nigerian CommercialBanks: A DEA Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 4(3), pages 465-475.
    5. Schaffnit, Claire & Rosen, Dan & Paradi, Joseph C., 1997. "Best practice analysis of bank branches: An application of DEA in a large Canadian bank," European Journal of Operational Research, Elsevier, vol. 98(2), pages 269-289, April.
    6. Mu-Jen Chen & Yung-ho Chiu & Chyanlong Jan & Yu-Chuan Chen & Hsiang-Hsi Liu, 2015. "Efficiency and Risk in Commercial Banks - Hybrid DEA Estimation," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 335-352, September.
    7. Cheng-Wen Lee & Chia-Jui Peng & Wen-Chuan Fu, 2015. "Study on Efficiency Sustainability of Taiwan’s Bank Performance under a Dynamic Framework," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 5(2), pages 1-1.
    8. Coert Erasmus, 2014. "An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)," Journal of Economics and Behavioral Studies, AMH International, vol. 6(4), pages 310-317.
    9. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    10. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
    11. Chiu, Ching-Ren & Chiu, Yung-Ho & Chen, Yu-Chuan & Fang, Chen-Ling, 2016. "Exploring the source of metafrontier inefficiency for various bank types in the two-stage network system with undesirable output," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 1-13.
    12. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    13. Tser-Yieth Chen & TSER-LIEN YEH, 2000. "A Measurement of Bank Efficiency, Ownership and Productivity Changes in Taiwan," The Service Industries Journal, Taylor & Francis Journals, vol. 20(1), pages 95-109, January.
    14. Wild, Joerg, 2016. "Efficiency and risk convergence of Eurozone financial markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 196-211.
    15. Raéf Bahrini, 2017. "Efficiency Analysis of Islamic Banks in the Middle East and North Africa Region: A Bootstrap DEA Approach," IJFS, MDPI, vol. 5(1), pages 1-13, February.
    16. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    17. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    18. Kao, Chiang & Liu, Shiang-Tai, 2014. "Multi-period efficiency measurement in data envelopment analysis: The case of Taiwanese commercial banks," Omega, Elsevier, vol. 47(C), pages 90-98.
    19. Sueyoshi, Toshiyuki, 1999. "DEA-discriminant analysis in the view of goal programming," European Journal of Operational Research, Elsevier, vol. 115(3), pages 564-582, June.
    20. Fukuyama, Hirofumi & Guerra, Ramon & Weber, William L., 1999. "Efficiency and ownership: evidence from Japanese credit cooperatives," Journal of Economics and Business, Elsevier, vol. 51(6), pages 473-487.
    21. Amir Moradi-Motlagh & Abbas Valadkhani & Ali Salman Saleh, 2015. "Rising efficiency and cost saving in Australian banks: a bootstrap approach," Applied Economics Letters, Taylor & Francis Journals, vol. 22(3), pages 189-194, February.
    22. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    23. Adriel Martins de Freitas Branco & Alexandre Pereira Salgado Junior & Patrícia Benites Cava & Murilo Carneiro, 2016. "Efficiency of the Brazilian Banking System: An Assessment Using DEA under Three Approaches," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(4), pages 1-3.
    24. Bhattacharyya, Arunava & Lovell, C. A. K. & Sahay, Pankaj, 1997. "The impact of liberalization on the productive efficiency of Indian commercial banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 332-345, April.
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