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Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches

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  • George Assaf, A.
  • Barros, Carlos P.
  • Matousek, Roman

Abstract

This paper analyzes the productivity and efficiency of Shinkin banks and the various prefectures in Japan, over the period from 2000 to 2006. We obtain estimates of efficiency growth and productivity growth, using the bootstrapped Malmquist index, and estimates of efficiency using the Bayesian distance frontier approach. We confirm that the efficiency growth and productivity growth of Shinkin banks did not improve significantly over the period of this study. In addition, we show that the efficiency of Shinkin banks is homogenous, with little variation across the banks analyzed. Methodologically, we also prove that a failure to impose theoretical regularity on the distance function could lead to false conclusions about the average efficiency or efficiency ranking of Shinkin banks. The study also includes an analysis of the correlates of productivity and efficiency growth, and provides efficiency and productivity estimates of the prefectures in which the banks are located.

Suggested Citation

  • George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
  • Handle: RePEc:eee:jbfina:v:35:y:2011:i:2:p:331-342
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    Citations

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    Cited by:

    1. José L. Gallizo & Jordi Moreno & Manuel Salvador, 2016. "Banking Efficiency in the Enlarged European Union: Financial Crisis and Convergence," International Finance, Wiley Blackwell, vol. 19(1), pages 66-88, April.
    2. repec:eee:ejores:v:261:y:2017:i:3:p:1125-1140 is not listed on IDEAS
    3. repec:eee:ecofin:v:43:y:2018:i:c:p:71-86 is not listed on IDEAS
    4. Juliane Gerstenberger & Gunther Schnabl, 2017. "The Impact of Japanese Monetary Policy Crisis Management on the Japanese Banking Sector," CESifo Working Paper Series 6440, CESifo Group Munich.
    5. Paul Wakke & Knut Blind & Florian Ramel, 2016. "The impact of participation within formal standardization on firm performance," Journal of Productivity Analysis, Springer, vol. 45(3), pages 317-330, June.
    6. Cristi SPULBAR & Mihai NITOI & Lucian ANGHEL, 2015. "Efficiency In Cooperative Banks And Savings Banks : A Stochastic Frontier Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-21, March.
    7. Duygun, Meryem & Sena, Vania & Shaban, Mohamed, 2016. "Trademarking activities and total factor productivity: Some evidence for British commercial banks using a metafrontier approach," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 70-80.
    8. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    9. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    10. 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.
    11. Degl'Innocenti, Marta & Kourtzidis, Stavros A. & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank productivity growth and convergence in the European Union during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 184-199.
    12. Lord Mensah, 2016. "Asset Allocation Brewed Accross African Stock Markets," Proceedings of Economics and Finance Conferences 3205757, International Institute of Social and Economic Sciences.
    13. 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.
    14. repec:ebl:ecbull:eb-16-00470 is not listed on IDEAS
    15. 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.
    16. Montgomery, Heather & Harimaya, Kozo & Takahashi, Yuki, 2014. "Too big to succeed? Banking sector consolidation and efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 86-106.
    17. repec:gam:jijfss:v:6:y:2018:i:1:p:14-:d:128829 is not listed on IDEAS
    18. Mamatzakis, Emmanuel & Matousek, Roman & Vu, Anh Nguyet, 2016. "What is the impact of bankrupt and restructured loans on Japanese bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 187-202.
    19. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1658-1668.
    20. Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
    21. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.

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