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Technical efficiency in the Chinese banking sector

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  • Barros, Carlos P.
  • Chen, Zhongfei
  • Liang, Qi Bin
  • Peypoch, Nicolas

Abstract

This paper applies an innovative DEA (Data Envelopment Analysis) model, the Inverse -convex model, in order to investigate the technical efficiency of a representative sample of Chinese banks. The banks are ranked according to their efficiency over the period 1998-2008. The results paint a mixed picture of the Chinese banks' performance. The influence of firm size and ownership on bank efficiency is not observed. However, the study shows that overall efficiency improved over time, especially after the entry of China into the WTO. Policy implications are derived.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecmode:v:28:y:2011:i:5:p:2083-2089
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    References listed on IDEAS

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    1. James Laurenceson & Zhao Yong, "undated". "Efficiency Amongst China’s Banks:A DEA Analysis Five Years after WTO Entry," EAERG Discussion Paper Series 1605, School of Economics, University of Queensland, Australia.
    2. 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.
    3. Bonin, John P. & Huang, Yiping, 2001. "Dealing with the bad loans of the Chinese banks," Journal of Asian Economics, Elsevier, vol. 12(2), pages 197-214.
    4. Alicia García-Herrero & Sergio Gavilá & Daniel Santabárbara, 2006. "China's Banking Reform: An Assessment of its Evolution and Possible Impact," CESifo Economic Studies, CESifo, vol. 52(2), pages 304-363, June.
    5. Altunbas, Yener & Molyneux, Philip & Thornton, John, 1997. "Big-Bank Mergers in Europe: An Analysis of the Cost Implications," Economica, London School of Economics and Political Science, vol. 64(254), pages 317-329, May.
    6. John Whalley, 2003. "Liberalization in China's Key Service Sectors Following WTO Accession: Some Scenarios and Issues of Measurement," NBER Working Papers 10143, National Bureau of Economic Research, Inc.
    7. 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.
    8. García-Herrero, Alicia & Gavilá, Sergio & Santabárbara, Daniel, 2009. "What explains the low profitability of Chinese banks?," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2080-2092, November.
    9. 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.
    10. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
    11. 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.
    12. Tarun Khanna & Krishna Palepu, 2000. "Is Group Affiliation Profitable in Emerging Markets? An Analysis of Diversified Indian Business Groups," Journal of Finance, American Finance Association, vol. 55(2), pages 867-891, April.
    13. Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-244, May.
    14. Antonio Alvarez & Carlos Arias, 2003. "Diseconomies of Size with Fixed Managerial Ability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 134-142.
    15. Ghemawat, Pankaj & Khanna, Tarun, 1998. "The Nature of Diversified Business Groups: A Research Design and Two Case Studies," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 35-61, March.
    16. 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.
    17. 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.
    18. Richard Podpiera, 2006. "Progress in China’s Banking Sector Reform; Has Bank Behavior Changed?," IMF Working Papers 06/71, International Monetary Fund.
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    Citations

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    Cited by:

    1. E. Avisoa, 2016. "European banks’ technical efficiency and performance: do business models matter? The case of European co-operatives banks," Débats économiques et financiers 25, Banque de France.
    2. 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.
    3. Matos, Pedro Verga & Faustino, Horácio C., 2012. "Beta-convergence and sigma-convergence in corporate governance in Europe," Economic Modelling, Elsevier, vol. 29(6), pages 2198-2204.
    4. repec:eee:ecofin:v:43:y:2018:i:c:p:71-86 is not listed on IDEAS
    5. 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.
    6. 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.
    7. Chen, Pei-Fen & Liu, Ping-Chin, 2013. "Bank ownership, performance, and the politics: Evidence from Taiwan," Economic Modelling, Elsevier, vol. 31(C), pages 578-585.
    8. Bing Xu & Adrian Van Rixtel & Michiel Van Leuvensteijn, 2013. "Measuring bank competition in China: a comparison of new versus conventional approaches applied to loan markets," BIS Working Papers 422, Bank for International Settlements.
    9. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
    10. Jingzhong Li & Yongmei Liu & Mingming Cao & Bing Xue, 2015. "Space-Time Characteristics of Vegetation Cover and Distribution: Case of the Henan Province in China," Sustainability, MDPI, Open Access Journal, vol. 7(9), pages 1-13, August.
    11. Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    12. Kok Fong See & Yong He, 2015. "Determinants of Technical Efficiency in Chinese Banking: A Double Bootstrap Data Envelopment Analysis Approach," Global Economic Review, Taylor & Francis Journals, vol. 44(3), pages 286-307, September.
    13. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    14. Chang, Tzu-Pu & Hu, Jin-Li & Chou, Ray Yeutien & Sun, Lei, 2012. "The sources of bank productivity growth in China during 2002–2009: A disaggregation view," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1997-2006.
    15. Jian Chai & Youhong Zhou & Ting Liang & Limin Xing & Kin Keung Lai, 2016. "Impact of International Oil Price on Energy Conservation and Emission Reduction in China," Sustainability, MDPI, Open Access Journal, vol. 8(6), pages 1-17, May.
    16. repec:eee:ememar:v:34:y:2018:i:c:p:77-86 is not listed on IDEAS
    17. Carlos P. Barros & Qi Bin Liang & Nicolas Peypoch, 2014. "Technical Efficiency in the Angolan Banking Sector with the B-convexity Model," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 443-454, September.
    18. Carlos Pestana Barros & Emanuel Reis Leão & Nkanga Pedro João Macanda & Zorro Mendes, 2016. "A Bayesian Efficiency Analysis of Angolan Banks," South African Journal of Economics, Economic Society of South Africa, vol. 84(3), pages 484-498, September.

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    Keywords

    China Banks -convexity Efficiency;

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