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Irish credit unions: Investigating performance determinants and the opportunity cost of regulatory compliance

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  • Glass, J. Colin
  • McKillop, Donal G.
  • Rasaratnam, Syamarlah

Abstract

The study investigates how producer-specific environmental factors influence the performance of Irish credit unions. The empirical analysis uses a two-stage approach. The first stage measures efficiency by a data envelopment analysis (DEA) estimator, which explicitly incorporates the production of undesirable outputs such as bad loans in the modelling, and the second stage uses truncated regression to infer how various factors influence the (bias-corrected) estimated efficiency. A key finding of the analysis is that 68% of Irish credit unions do not incur an extra opportunity cost in meeting regulatory guidance on bad debt.

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  • Glass, J. Colin & McKillop, Donal G. & Rasaratnam, Syamarlah, 2010. "Irish credit unions: Investigating performance determinants and the opportunity cost of regulatory compliance," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 67-76, January.
    • Handle: RePEc:eee:jbfina:v:34:y:2010:i:1:p:67-76
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    3. Natalya Zelenyuk & Valentin Zelenyuk, 2015. "Productivity Drivers of Efficiency in Banking: Importance of Model Specifications," CEPA Working Papers Series WP082015, School of Economics, University of Queensland, Australia.
    4. Johann Burgstaller, 2020. "Retail‐bank efficiency: Nonstandard goals and environmental determinants," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(2), pages 269-301, June.
    5. Ayadi, Rym & Naceur, Sami Ben & Casu, Barbara & Quinn, Barry, 2016. "Does Basel compliance matter for bank performance?," Journal of Financial Stability, Elsevier, vol. 23(C), pages 15-32.
    6. Donal G. MCKILLOP & Barry QUINN, 2015. "Web Adoption By Irish Credit Unions: Performance Implications," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(3), pages 421-443, September.
    7. Geoffrey Rubin & George Overstreet & Peter Beling & Kanshukan Rajaratnam, 2013. "A dynamic theory of the credit union," Annals of Operations Research, Springer, vol. 205(1), pages 29-53, May.
    8. Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang & Vardanyan, Michael & Zhu, Ning, 2019. "Decomposing banking performance into economic and credit risk efficiencies," European Journal of Operational Research, Elsevier, vol. 277(2), pages 719-726.
    9. Yimga, Jules, 2018. "Microfinance expansion and its effects on cost efficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 205-216.
    10. Mohamed Dia & Pawoumodom M. Takouda & Amirmohsen Golmohammadi, 2022. "Assessing the performance of Canadian credit unions using a three-stage network bootstrap DEA," Annals of Operations Research, Springer, vol. 311(2), pages 641-673, April.
    11. Theo Benos & Nikos Kalogeras & Martin Wetzels & Ko De Ruyter & Joost M. E. Pennings, 2018. "Harnessing a ‘Currency Matrix’ for Performance Measurement in Cooperatives: A Multi-Phased Study," Sustainability, MDPI, vol. 10(12), pages 1-38, December.
    12. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    13. Unda, Luisa A. & Ranasinghe, Dinithi, 2021. "To pay or not pay: Board remuneration and insolvency risk in credit unions," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    14. Gregory McKee & Albert Kagan, 2016. "Determinants of recent structural change for small asset U.S. credit unions," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 775-795, October.
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    17. Natalya Zelenyuk & Valentin Zelenyuk, 2014. "Regional and Ownership Drivers of Bank Efficiency," CEPA Working Papers Series WP112014, School of Economics, University of Queensland, Australia.

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