IDEAS home Printed from https://ideas.repec.org/a/taf/irapec/v32y2018i1p104-118.html
   My bibliography  Save this article

Applying three-stage DEA on the operational performance of foreign banks in Taiwan

Author

Listed:
  • Hsiang-Hsi Liu

Abstract

This study applies 3-stage data envelopment analysis (DEA) model on a sample of 29 foreign commercial banks in Taiwan in order to measure their overall operational efficiencies. Exploring adjustments on environmental and statistical noise effects incorporated in the pure performance evaluation for input slacks to achieve true managerial efficiency. Through our research, using a three-stage DEA approach, efficiency scores can function as a more specific and precise set of criteria for true managerial efficiency. Our empirical results demonstrated that the operational efficiency values after being adjusted for external environmental factors and statistical noise tend to be higher than the non-adjusted values. Our findings can help the banking management avoid resource misallocations, enhance banking efficiency and improve banking competitiveness.

Suggested Citation

  • Hsiang-Hsi Liu, 2018. "Applying three-stage DEA on the operational performance of foreign banks in Taiwan," International Review of Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 104-118, January.
    • Handle: RePEc:taf:irapec:v:32:y:2018:i:1:p:104-118
    DOI: 10.1080/02692171.2017.1332014
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02692171.2017.1332014
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02692171.2017.1332014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robin Marris & Adrian Wood (ed.), 1971. "The Corporate Economy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-01110-0, December.
    2. 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.
    3. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    4. Michael Gort, 1962. "Diversification and Integration in American Industry," NBER Books, National Bureau of Economic Research, Inc, number gort62-1.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    7. Felisitas Defung & Ruhul Salim & Harry Bloch, 2016. "Has regulatory reform had any impact on bank efficiency in Indonesia? A two-stage analysis," Applied Economics, Taylor & Francis Journals, vol. 48(52), pages 5060-5074, November.
    8. Hung-Jen Tu & Wan-Chu Yen & Jia-Jeng Hou, 2010. "Measuring the operating efficiency of internet channels with DEA," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 2(2), pages 95-106.
    9. Michael Gort, 1962. "Introduction to "Diversification and Integration in American Industry"," NBER Chapters, in: Diversification and Integration in American Industry, pages 3-7, National Bureau of Economic Research, Inc.
    10. Muniz, M. A., 2002. "Separating managerial inefficiency and external conditions in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(3), pages 625-643, December.
    11. David A Grigorian & Vlad Manole, 2006. "Determinants of Commercial Bank Performance in Transition: An Application of Data Envelopment Analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 497-522, September.
    12. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    13. 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.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Salim, Ruhul & Arjomandi, Amir & Seufert, Juergen Heinz, 2016. "Does corporate governance affect Australian banks' performance?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 113-125.
    16. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jamal Ouenniche & Skarleth Carrales, 2018. "Assessing efficiency profiles of UK commercial banks: a DEA analysis with regression-based feedback," Annals of Operations Research, Springer, vol. 266(1), pages 551-587, July.
    2. Zhou, Wei & Chen, Jin, 2021. "Is R&D helpful for China’s energy technology and engineering industry to respond to external uncertainties?," Energy, Elsevier, vol. 226(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eskelinen, Juha & Halme, Merja & Kallio, Markku, 2014. "Bank branch sales evaluation using extended value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 232(3), pages 654-663.
    2. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
    3. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    4. Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
    5. Chortareas, Georgios E. & Girardone, Claudia & Ventouri, Alexia, 2012. "Bank supervision, regulation, and efficiency: Evidence from the European Union," Journal of Financial Stability, Elsevier, vol. 8(4), pages 292-302.
    6. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    7. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    8. Das, Abhiman & Ray, Subhash C. & Nag, Ashok, 2009. "Labor-use efficiency in Indian banking: A branch-level analysis," Omega, Elsevier, vol. 37(2), pages 411-425, April.
    9. Barros, C.P. & Emrouznejad, Ali, 2016. "Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banksAuthor-Name: Wanke, Peter," European Journal of Operational Research, Elsevier, vol. 249(1), pages 378-389.
    10. Taylor, William M. & Thompson, Russell G. & Thrall, Robert M. & Dharmapala, P. S., 1997. "DEA/AR efficiency and profitability of Mexican banks a total income model," European Journal of Operational Research, Elsevier, vol. 98(2), pages 346-363, April.
    11. Thanh, Ngo, 2011. "Effectiveness of the Global Banking System in 2010: A Data Envelopment Analysis approach," MPRA Paper 56389, University Library of Munich, Germany.
    12. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    13. Fatemeh Boloori & Jafar Pourmahmoud, 2016. "A modified SBM-NDEA approach for the efficiency measurement in bank branches," Operational Research, Springer, vol. 16(2), pages 301-326, July.
    14. Yung-Ho Chiu & Chyanlong Jan & Da-Bai Shen & Pen-Chun Wang, 2008. "Efficiency and capital adequacy in Taiwan banking: BCC and super-DEA estimation," The Service Industries Journal, Taylor & Francis Journals, vol. 28(4), pages 479-496, May.
    15. G.S. Donatos & D.I. Giokas, 2008. "Relative Efficiency in the branch network of a Greek bank: A quantitative analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 53-72.
    16. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    17. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    18. Camanho, Ana Santos & Silva, Maria Conceicao & Piran, Fabio Sartori & Lacerda, Daniel Pacheco, 2024. "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 315(1), pages 1-18.
    19. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    20. Udhayakumar, A. & Charles, V. & Kumar, Mukesh, 2011. "Stochastic simulation based genetic algorithm for chance constrained data envelopment analysis problems," Omega, Elsevier, vol. 39(4), pages 387-397, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:irapec:v:32:y:2018:i:1:p:104-118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CIRA20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.