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Cooperative bank efficiency in Japan: a parametric distance function analysis

Author

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  • J. Colin Glass
  • Donal G. McKillop
  • Barry Quinn
  • John Wilson

Abstract

This study examines the relative performance of Japanese cooperative banks between 1998 and 2009, explicitly modelling non-performing loans as an undesirable output. Three key findings emerge. First, the sector is characterized by increasing returns to scale which supports the ongoing amalgamation process within the sector. Second, although restricted in product offerings, markets and their membership base, Japanese cooperatives secured both technical progress (a positive shift in the frontier) and a decrease in technical inefficiency (distance from the frontier). Third, the analysis highlighted that regulatory pressure to reduce non-performing loans will have an adverse impact on both output and performance.

Suggested Citation

  • J. Colin Glass & Donal G. McKillop & Barry Quinn & John Wilson, 2014. "Cooperative bank efficiency in Japan: a parametric distance function analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 20(3), pages 291-317, March.
    • Handle: RePEc:taf:eurjfi:v:20:y:2014:i:3:p:291-317
    DOI: 10.1080/1351847X.2012.698993
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    Citations

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    Cited by:

    1. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    2. Debdatta Pal & Subrata K. Mitra, 2018. "The efficiency of microfinance institutions with problem loans: A directional distance function approach," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 285-307, September.
    3. Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
    4. Arandarage Mayura Prasad Arandara & Shingo Takahashi, 2023. "Productivity analysis of Sri Lankan cooperative banks: input distance function approach," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 93-117, March.
    5. Almudena Martínez-Campillo & Yolanda Fernández-Santos, 2017. "What About the Social Efficiency in Credit Cooperatives? Evidence from Spain (2008–2014)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 607-629, March.
    6. Abreu, Emmanuel Sousa de & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2019. "What is going on with studies on banking efficiency?," Research in International Business and Finance, Elsevier, vol. 47(C), pages 195-219.
    7. 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.
    8. María-Celia López-Penabad & José Manuel Maside-Sanfiz & Juan Torrelles Manent & Ana Iglesias-Casal, 2020. "Application of the DEA Double Bootstrap to Analyze Efficiency in Galician Sheltered Workshops," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    9. Almudena Martínez-Campillo & Yolanda Fernández-Santos & María Pilar Sierra-Fernández, 2018. "How Well Have Social Economy Financial Institutions Performed During the Crisis Period? Exploring Financial and Social Efficiency in Spanish Credit Unions," Journal of Business Ethics, Springer, vol. 151(2), pages 319-336, August.
    10. Hirofumi Fukuyama & William L. Weber, 2017. "Measuring bank performance with a dynamic network Luenberger indicator," Annals of Operations Research, Springer, vol. 250(1), pages 85-104, March.
    11. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    12. Besstremyannaya, Galina, 2017. "Heterogeneous effect of the global financial crisis and the Great East Japan Earthquake on costs of Japanese banks," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 66-89.
    13. Jean Joseph Minviel & Timo Sipiläinen, 2018. "Dynamic stochastic analysis of the farm subsidy-efficiency link: evidence from France," Journal of Productivity Analysis, Springer, vol. 50(1), pages 41-54, October.
    14. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    15. Yao Hu & Tai-Hua Yan & Feng-Wen Chen, 2020. "Energy and Environment Performance of Resource-Based Cities in China: A Non-Parametric Approach for Estimating Hyperbolic Distance Function," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    16. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    17. McKillop, Donal & French, Declan & Quinn, Barry & Sobiech, Anna L. & Wilson, John O.S., 2020. "Cooperative financial institutions: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 71(C).

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