IDEAS home Printed from https://ideas.repec.org/a/eee/ememar/v34y2018icp77-86.html
   My bibliography  Save this article

Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR

Author

Listed:
  • Wu, Meiqin
  • Li, Changhong
  • Fan, Jianping
  • Wang, Xiangyu
  • Wu, Zhenyu

Abstract

The banking industry plays an essential role in China's economic growth, and the assessment of bank efficiency has attracted increasing interest in the past two decades. Given that the data envelopment analysis cross-efficiency method can provide a more reliable reference set, a large number of studies targeting performance evaluation and its applications adopt this method. Few studies, however, address the issue of the non-uniqueness of weights in cross-efficiency evaluation. Whereas, this paper proposes a cross-efficiency interval considering all weighting schemes along with a VIKOR aggregate model to gauge the universal productive efficiency of 16 major Chinese commercial banks of China and rank them for the period of 2007–14. Specifically, we use the cross-efficiency interval to generate the global performance of each bank based on internal and external assessment while using VIKOR to compare the solution with the attitude index which ranks all of the banks. The results indicate that the cross-efficiency interval can provide more information than the traditional DEA model, that the banking system efficiency of China has been improved during the study period, especially for SOBs; that JSBs are more efficient compared with SOBs; and the efficiency gap narrowed during the study period.

Suggested Citation

  • Wu, Meiqin & Li, Changhong & Fan, Jianping & Wang, Xiangyu & Wu, Zhenyu, 2018. "Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR," Emerging Markets Review, Elsevier, vol. 34(C), pages 77-86.
  • Handle: RePEc:eee:ememar:v:34:y:2018:i:c:p:77-86
    DOI: 10.1016/j.ememar.2017.10.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1566014117304016
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ememar.2017.10.005?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. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    2. Raghuram G. Rajan & Luigi Zingales, 1998. "Which Capitalism? Lessons Form The East Asian Crisis," Journal of Applied Corporate Finance, Morgan Stanley, vol. 11(3), pages 40-48, September.
    3. Yuan, Chaoqing & Liu, Sifeng & Xie, Naiming, 2010. "The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis," Energy, Elsevier, vol. 35(4), pages 1805-1812.
    4. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    5. Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
    6. Leony, Larissa & Romeu, Rafael, 2011. "A model of bank lending in the global financial crisis and the case of Korea," Journal of Asian Economics, Elsevier, vol. 22(4), pages 322-334, August.
    7. Dan Luo & Shujie Yao & Jian Chen & Jianling Wang, 2011. "World Financial Crisis and Efficiency of Chinese Commercial Banks," The World Economy, Wiley Blackwell, vol. 34, pages 805-825, May.
    8. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2007. "Cost X-efficiency in China's banking sector," China Economic Review, Elsevier, vol. 18(1), pages 35-53.
    9. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    10. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    11. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    12. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    13. Fu, Xiaoqing (Maggie) & Heffernan, Shelagh, 2009. "The effects of reform on China's bank structure and performance," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 39-52, January.
    14. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    15. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    16. Hou, Xiaohui & Wang, Qing & Zhang, Qi, 2014. "Market structure, risk taking, and the efficiency of Chinese commercial banks," Emerging Markets Review, Elsevier, vol. 20(C), pages 75-88.
    17. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    18. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
    19. 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.
    20. Schooner, Heidi Mandanis & Schooner, Heidi Mandanis & Taylor, Michael W. & Taylor, Michael W., 2009. "Global Bank Regulation," Elsevier Monographs, Elsevier, edition 1, number 9780126410037.
    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. Otero, Luis & Razia, Alaa & Cunill, Onofre Martorell & Mulet-Forteza, Carles, 2020. "What determines efficiency in MENA banks?," Journal of Business Research, Elsevier, vol. 112(C), pages 331-341.
    2. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.

    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. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    2. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    3. Huang, Tai-Hsin & Lin, Chung-I & Chen, Kuan-Chen, 2017. "Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 93-110.
    4. Zhu, Ning & Hougaard, Jens Leth & Yu, Zhiqian & Wang, Bing, 2020. "Ranking Chinese commercial banks based on their expected impact on structural efficiency," Omega, Elsevier, vol. 94(C).
    5. Liangliang He & Lei Chen & Frank Hong Liu, 2017. "Banking reforms, performance and risk in China," Applied Economics, Taylor & Francis Journals, vol. 49(40), pages 3995-4012, August.
    6. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    7. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    8. Mei-Ying Huang & Tsu-Tan Fu, 2013. "An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function," Journal of Productivity Analysis, Springer, vol. 40(3), pages 387-406, December.
    9. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).
    10. Yong Tan & Peter Wanke & Jorge Antunes & Ali Emrouznejad, 2021. "Unveiling endogeneity between competition and efficiency in Chinese banks: a two-stage network DEA and regression analysis," Annals of Operations Research, Springer, vol. 306(1), pages 131-171, November.
    11. Carlos Barros & Hidemichi Fujii & Shunsuke Managi, 2015. "How scale and ownership are related to financial performance? A productivity analysis of the Chinese banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    12. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    13. Sunil Mohanty & Hong-Jen Lin, 2021. "Efficiency in China’s Banking Sector: A Comparative Analysis of Pre- and Post-Basel II Eras," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 1-29, June.
    14. HSIAO, Cheng & SHEN, Yan & BIAN, Wenlong, 2015. "Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks," China Economic Review, Elsevier, vol. 35(C), pages 70-82.
    15. Dong, Yizhe & Girardone, Claudia & Kuo, Jing-Ming, 2017. "Governance, efficiency and risk taking in Chinese banking," The British Accounting Review, Elsevier, vol. 49(2), pages 211-229.
    16. Paul W. Wilson & Shirong Zhao, 2023. "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, vol. 321(1), pages 663-692, February.
    17. Dan Li & Yanfeng Li & Yeming Gong & Jiawei Yang, 2021. "Estimation of bank performance from multiple perspectives: an alternative solution to the deposit dilemma," Journal of Productivity Analysis, Springer, vol. 56(2), pages 151-170, December.
    18. Qiubin Huang & Jakob De Haan & Bert Scholtens, 2019. "Analysing Systemic Risk in the Chinese Banking System," Pacific Economic Review, Wiley Blackwell, vol. 24(2), pages 348-372, May.
    19. Hirofumi Fukuyama & Yong Tan, 2021. "Corporate social behaviour: Is it good for efficiency in the Chinese banking industry?," Annals of Operations Research, Springer, vol. 306(1), pages 383-413, November.
    20. Xiaohong Liu & Jiasen Sun & Feng Yang & Jie Wu, 2020. "How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 290(1), pages 983-1008, July.

    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:eee:ememar:v:34:y:2018:i:c:p:77-86. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620356 .

    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.