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Incorporating Credit Quality in Bank Efficiency Measurements: A Directional Distance Function Approach

Author

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  • Abdul Qayyum

    (Department of Management Sciences, COMSATS University Islamabad, 44000 Islamabad, Pakistan)

  • Khalid Riaz

    (Department of Management Sciences, COMSATS University Islamabad, 44000 Islamabad, Pakistan)

Abstract

The objective of the study was to measure the risk-adjusted efficiency of banks in 24 emerging economies for the period of 1999–2013. A two-stage network data envelopment analysis (DEA), with separate deposit mobilization and loan financing stages was used. Efficiency was measured using directional distance functions with DEA, featuring non-performing loans as undesirable outputs. The distributions of efficiency scores were different when credit quality was taken into account. The distribution of efficiency scores varied systematically with accumulation of non-performing loans across regions. The financial crisis of 2007–2008 impacted more adversely the regions that had higher proportions of non-performing loans in banks’ portfolios. The results of a follow-on non-parametric regression showed that smaller, better capitalized, and private banks were more efficient. The conditions conducive for high levels of technical efficiency by banks were found to be characterized by economic growth and low inflation.

Suggested Citation

  • Abdul Qayyum & Khalid Riaz, 2018. "Incorporating Credit Quality in Bank Efficiency Measurements: A Directional Distance Function Approach," JRFM, MDPI, vol. 11(4), pages 1-19, November.
    • Handle: RePEc:gam:jjrfmx:v:11:y:2018:i:4:p:78-:d:181851
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    1. Rolf Färe & Shawna Grosskopf & Gerald Whittaker, 2014. "Network DEA II," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 307-327, Springer.
    2. Sunil Kumar & Rachita Gulati, 2014. "Deregulation and Efficiency of Indian Banks," India Studies in Business and Economics, Springer, edition 127, number 978-81-322-1545-5, September.
    3. Kleff Volker & Weber Martin, 2008. "How Do Banks Determine Capital? Evidence from Germany," German Economic Review, De Gruyter, vol. 9(3), pages 354-372, August.
    4. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    5. Tugba Eyceyurt Batir & David A. Volkman & Bener Gungor, 2017. "Determinants of bank efficiency in Turkey: Participation banks versus conventional banks," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(2), pages 86-96, June.
    6. Angelo Zago & Paola Dongili, 2011. "Credit quality and technical efficiency in banking," Empirical Economics, Springer, vol. 40(2), pages 537-558, April.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Jeffery Racine & Jeffrey Hart & Qi Li, 2006. "Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 523-544.
    9. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    10. Sunil Kumar & Rachita Gulati, 2014. "A Survey of Empirical Literature on Bank Efficiency," India Studies in Business and Economics, in: Deregulation and Efficiency of Indian Banks, edition 127, chapter 0, pages 119-165, Springer.
    11. Volker Kleff & Martin Weber, 2008. "How Do Banks Determine Capital? Evidence from Germany," German Economic Review, Verein für Socialpolitik, vol. 9(3), pages 354-372, August.
    12. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    13. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    14. Racine, Jeff, 1997. "Consistent Significance Testing for Nonparametric Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 369-378, July.
    15. Manuel Illueca & José Pastor & Emili Tortosa-Ausina, 2009. "The effects of geographic expansion on the productivity of Spanish savings banks," Journal of Productivity Analysis, Springer, vol. 32(2), pages 119-143, October.
    16. Racine, Jeffrey S., 2008. "Nonparametric Econometrics: A Primer," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(1), pages 1-88, March.
    17. Acharya, Viral & Naqvi, Hassan, 2012. "The seeds of a crisis: A theory of bank liquidity and risk taking over the business cycle," Journal of Financial Economics, Elsevier, vol. 106(2), pages 349-366.
    18. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    19. Banker, Rajiv D. & Zheng, Zhiqiang (Eric) & Natarajan, Ram, 2010. "DEA-based hypothesis tests for comparing two groups of decision making units," European Journal of Operational Research, Elsevier, vol. 206(1), pages 231-238, October.
    20. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    21. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    22. James R. Barth & Gerard Caprio & Ross Levine, 2013. "Bank regulation and supervision in 180 countries from 1999 to 2011," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 5(2), pages 111-219, May.
    23. Badar Nadeem Ashraf & Sidra Arshad & Liang Yan, 2017. "Trade Openness and Bank Risk-Taking Behavior: Evidence from Emerging Economies," JRFM, MDPI, vol. 10(3), pages 1-18, July.
    24. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    25. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
    26. Fries, Steven & Taci, Anita, 2005. "Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 55-81, January.
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