IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v11y2021i2p21582440211005448.html
   My bibliography  Save this article

Evaluating Efficiency Change in Taiwan’s Financial Industry

Author

Listed:
  • Liang-Han Ma
  • Jin-Chi Hsieh
  • Ying Li
  • Yung-Ho Chiu

Abstract

This study evaluates the performance of the financial industry with meta-frontier (MF) dynamic network data envelopment analysis (DN-DEA) from 2009 to 2015. We divide the sample into two groups, Financial Holding group (FHG) and Insurance & Securities group (ISG), for all decision making units (DMUs) of the financial industry. Our goal is to study the effects of operating performance across divisions and across periods and to compare the differences between these two different groups within Taiwan’s bank industry. We find the best business performance was during 2013, where the average value was 0.5485. The best average value of FHG was 0.7192 in 2012, and ISG was 0.7099 in 2010. FHG has best average overall efficiency (OE) value in 2009–2015 periods. However, the average technical efficiency gap ratio (TGR) value of ISG’s (0.7490) is larger than FHG (0.6959), indicating that business performance is affected by group and meta-frontier. FHG has a larger scale than ISG, and so, those firms can input a relatively large proportion of investments and resources to produce better performance. Finally, many DMUs have excess inputs of labor costs and operating expenses, resulting in an average TGR value that is lower than ISG in 2009–2015.

Suggested Citation

  • Liang-Han Ma & Jin-Chi Hsieh & Ying Li & Yung-Ho Chiu, 2021. "Evaluating Efficiency Change in Taiwan’s Financial Industry," SAGE Open, , vol. 11(2), pages 21582440211, April.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:2:p:21582440211005448
    DOI: 10.1177/21582440211005448
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440211005448
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440211005448?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
    ---><---

    References listed on IDEAS

    as
    1. Fukuyama, Hirofumi & Weber, William L., 1999. "The efficiency and productivity of Japanese securities firms, 1988-93," Japan and the World Economy, Elsevier, vol. 11(1), pages 115-133, January.
    2. Zhang, Wei David & Zhang, Shuo & Luo, Xueming, 2006. "Technological progress, inefficiency, and productivity growth in the US securities industry, 1980-2000," Journal of Business Research, Elsevier, vol. 59(5), pages 589-594, May.
    3. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    4. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    5. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    6. 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.
    7. Kaoru Tone & Miki Tsutsui, 2014. "Slacks-Based Network DEA," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 231-259, Springer.
    8. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    9. J-L Hu & C-Y Fang, 2010. "Do market share and efficiency matter for each other? An application of the zero-sum gains data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 647-657, April.
    10. Yantuan Yu & Jianhuan Huang & Yanmin Shao, 2019. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    11. Shih-Fang Lo & Wen-Min Lu, 2006. "Does Size Matter? Finding The Profitability And Marketability Benchmark Of Financial Holding Companies," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 229-246.
    12. Md. Ariful Islam & Mahmudul Hasan Siddiqui & Kh. Fahim Hossain & Luthful Karim, 2014. "Performance Evaluation of the Banking Sector in Bangladesh: A Comparative Analysis," Business and Economic Research, Macrothink Institute, vol. 4(1), pages 70-107, June.
    13. Jin-Li Hu & Hsueh-E. Yu & Yi-Ting Wang, 2012. "Manager Attributes and Fund Performance: Evidence from Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(4), pages 1-6.
    14. Md. Abul Kalam Azad & Susila Munisamy & Abdul Kadar Muhammad Masum & Paolo Saona & Peter Wanke, 2017. "Bank efficiency in Malaysia: a use of malmquist meta-frontier analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 287-311, August.
    15. Alexakis, Christos & Izzeldin, Marwan & Johnes, Jill & Pappas, Vasileios, 2019. "Performance and productivity in Islamic and conventional banks: Evidence from the global financial crisis," Economic Modelling, Elsevier, vol. 79(C), pages 1-14.
    16. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    17. Kofi Adjei-Frimpong & Christopher Gan & Baiding Hu, 2014. "Cost Efficiency of Ghana's Banking Industry: A Panel Data Analysis," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(2), pages 69-86.
    18. 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.
    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. Gajdosikova Dominika & Valaskova Katarina, 2022. "The Impact of Firm Size on Corporate Indebtedness: A Case Study of Slovak Enterprises," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 63-84, June.

    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. Yu, Ming-Miin & Lin, Chung-I & Chen, Kuan-Chen & Chen, Li-Hsueh, 2021. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach," Omega, Elsevier, vol. 98(C).
    2. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    3. Mohammad Nourani & Qian Long Kweh & Wen-Min Lu & Ikhlaas Gurrib, 2022. "Operational and investment efficiency of investment trust companies: Do foreign firms outperform domestic firms?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    4. Chiu, Yung-ho & Huang, Kuei-Ying & Chang, Tzu-Han & Lin, Tai-Yu, 2021. "Efficiency assessment of coal mine use and land restoration: Considering climate change and income differences," Resources Policy, Elsevier, vol. 73(C).
    5. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    6. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    7. Zhen Shi & Shijiong Qin & Yung-ho Chiu & Xiaoying Tan & Xiaoli Miao, 2021. "The impact of gross domestic product on the financing and investment efficiency of China’s commercial banks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
    8. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.
    9. Kao, Han-Ying & Wu, Dong-Jyun & Huang, Chia-Hui, 2017. "Evaluation of cloud service industry with dynamic and network DEA models," Applied Mathematics and Computation, Elsevier, vol. 315(C), pages 188-202.
    10. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    11. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Assessing the dynamic efficiency and technology gap of airports under different ownerships: A union dynamic NDEA approach," Omega, Elsevier, vol. 119(C).
    12. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    13. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    14. Zhen Shi & Yingju Wu & Yung-ho Chiu & Fengping Wu & Changfeng Shi, 2020. "Dynamic Linkages among Mining Production and Land Rehabilitation Efficiency in China," Land, MDPI, vol. 9(3), pages 1-25, March.
    15. 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.
    16. Kelly D.T.Trinh & Valentin Zelenyuk, 2015. "Bootstrap-based testing for network DEA: Some Theory and Applications," CEPA Working Papers Series WP052015, School of Economics, University of Queensland, Australia.
    17. Cossani, Gianfranco & Codoceo, Loreto & Cáceres, Hernán & Tabilo, Jorge, 2022. "Technical efficiency in Chile’s higher education system: A comparison of rankings and accreditation," Evaluation and Program Planning, Elsevier, vol. 92(C).
    18. Wu, Yueh-Cheng & Wei Kiong Ting, Irene & Lu, Wen-Min & Nourani, Mohammad & Kweh, Qian Long, 2016. "The impact of earnings management on the performance of ASEAN banks," Economic Modelling, Elsevier, vol. 53(C), pages 156-165.
    19. Ming-Chung Chang & Chiang-Ping Chen & Chien-Cheng Lin & Yu-Ming Xu, 2022. "The Overall and Disaggregate China’s Bank Efficiency from Sustainable Business Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    20. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.

    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:sae:sagope:v:11:y:2021:i:2:p:21582440211005448. 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: SAGE Publications (email available below). General contact details of provider: .

    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.