IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v9y2019i5f9_5_11.html

Gauging the Efficiency of China’s Bank Using a Cost Efficiency Model

Author

Listed:
  • Chen Chunying

Abstract

Most studies on data envelopment analysis arrive at efficiency values that are too similar to be compared. Using a “cost efficiency model†, we gauge the efficiency of China’s banks by analyzing 25 listed banks from 2001 to 2016 to resolve this issue. The results show that the efficiency value of each bank has been clearly differentiated. Moreover, we determine that the banks’ efficiency would only improve by lowering the number of employees, reducing payroll, or increasing loans and making investments to generate higher revenues. Additionally, owing to policies in favor of the development of rural areas, certain rural commercial banks increased their efficiency and gradually displaced urban counterparts in terms of operation efficiency in 2016. JEL Classifications Numbers: G21, D24

Suggested Citation

  • Chen Chunying, 2019. "Gauging the Efficiency of China’s Bank Using a Cost Efficiency Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(5), pages 1-11.
  • Handle: RePEc:spt:apfiba:v:9:y:2019:i:5:f:9_5_11
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%209_5_11.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miranti Kartika Dewi & Maliah Sulaiman & Ilham Reza Ferdian, 2010. "Efficiency of Islamic banks in selected member countries of the Organisation of Islamic Conference," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 3(2), pages 177-205.
    2. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    3. Russell G. Thompson & F. D. Singleton & Robert M. Thrall & Barton A. Smith, 1986. "Comparative Site Evaluations for Locating a High-Energy Physics Lab in Texas," Interfaces, INFORMS, vol. 16(6), pages 35-49, December.
    4. 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.
    5. Nicholas Apergis & Michael L. Polemis, 2016. "Competition and efficiency in the MENA banking region: a non-structural DEA approach," Applied Economics, Taylor & Francis Journals, vol. 48(54), pages 5276-5291, November.
    6. Franklin R. Edwards & Frederic S. Mishkin, 1995. "The decline of traditional banking: implications for financial stability and regulatory policy," Economic Policy Review, Federal Reserve Bank of New York, vol. 1(Jul), pages 27-45.
    Full references (including those not matched with items on IDEAS)

    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. Chun-Ying Chen & Chun-Hung Chen & Ai-Chi Hsu, 2018. "Cost Efficiency Affects Sustainable Operations," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 90-92.
    2. Barros, Carlos Pestana & Peypoch, Nicolas, 2008. "Technical efficiency of thermoelectric power plants," Energy Economics, Elsevier, vol. 30(6), pages 3118-3127, November.
    3. Hashimoto, Akihiro, 1997. "A ranked voting system using a DEA/AR exclusion model: A note," European Journal of Operational Research, Elsevier, vol. 97(3), pages 600-604, March.
    4. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    5. Beasley, J. E., 2003. "Allocating fixed costs and resources via data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 198-216, May.
    6. Kurz, Michael & Kleimeier, Stefanie, 2019. "Credit Supply: Are there negative spillovers from banks’ proprietary trading? (RM/19/005-revised-)," Research Memorandum 026, Maastricht University, Graduate School of Business and Economics (GSBE).
    7. Emil Adamek & Jan Janku, 2022. "What Drives Small Business Crowdfunding? Impact of Macroeconomic and Financial Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 72(2), pages 172-196, June.
    8. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    9. Nandita Bhattacharjee & Ambika Prasad Pati, 2025. "Efficiency of Shadow Banks in India and Its Drivers," Global Business Review, International Management Institute, vol. 26(5), pages 1307-1327, October.
    10. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    11. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    12. Russell Olukayode Christopher Somoye & Bamidele M. Ilo & Lateef Adewale Yunusa, 2019. "INTEREST INCOME AND DEPOSIT MONEY BANKS (DMBs) PERFORMANCE IN NIGERIA," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 17(2), pages 15-25, November.
    13. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    14. Duca, John V., 2013. "Did the commercial paper funding facility prevent a Great Depression style money market meltdown?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 747-758.
    15. Camanho, A. S. & Dyson, R. G., 2005. "Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments," European Journal of Operational Research, Elsevier, vol. 161(2), pages 432-446, March.
    16. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    17. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    18. Alexandr Gedranovich & Mykhaylo Salnykov, 2012. "Productivity analysis of Belarusian higher education system," BEROC Working Paper Series 16, Belarusian Economic Research and Outreach Center (BEROC).
    19. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    20. Ane Elixabete Ripoll-Zarraga & Sebastián Lozano, 2020. "A centralised DEA approach to resource reallocation in Spanish airports," Annals of Operations Research, Springer, vol. 288(2), pages 701-732, May.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:spt:apfiba:v:9:y:2019:i:5:f:9_5_11. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.