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Efficiency of the Brazilian Banking System in 2014: A DEA-SBM Analysis

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Listed:
  • Adriel Martins de Freitas Branco
  • Alexandre Pereira Salgado Junior
  • Patrícia Benites Cava
  • Eduardo Falsarella Junior
  • Marco Antônio Alves de Souza Junior

Abstract

This study used the DEA-SBM technique to evaluate the efficiency of Brazilian banks in 2014 from the perspective of the three most recurring approaches in this evaluation type: intermediation, production, and profitability. The efficiency scores were evaluated by quintile and the Mann-Whitney test according to (1) capital origin; (2) public vs. private; (3) size; (4) operating segment (5) ratings. The analysis led to ten conclusions and demonstrated that federal public capital banks, micro-sized banks, the banks of the Retail segment (except for the intermediation approach) and AAA-rating banks were the most efficient institutions.JEL classification numbers: E5Keywords: DEA, Bank Efficiency, Brazilian banking system.

Suggested Citation

  • Adriel Martins de Freitas Branco & Alexandre Pereira Salgado Junior & Patrícia Benites Cava & Eduardo Falsarella Junior & Marco Antônio Alves de Souza Junior, 2017. "Efficiency of the Brazilian Banking System in 2014: A DEA-SBM Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(5), pages 1-2.
  • Handle: RePEc:spt:apfiba:v:7:y:2017:i:5:f:7_5_2
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    References listed on IDEAS

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    1. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
    2. 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.
    3. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Bank productivity and performance groups: A decomposition approach based upon the Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 211(3), pages 630-641, June.
    4. 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.
    5. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    6. Eskelinen, Juha & Halme, Merja & Kallio, Markku, 2014. "Bank branch sales evaluation using extended value efficiency analysis," European Journal of Operational Research, Elsevier, vol. 232(3), pages 654-663.
    7. Staub, Roberta B. & da Silva e Souza, Geraldo & Tabak, Benjamin M., 2010. "Evolution of bank efficiency in Brazil: A DEA approach," European Journal of Operational Research, Elsevier, vol. 202(1), pages 204-213, April.
    8. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Karligash Kenjegalieva & Richard Simper, 2009. "A New Approach to Dealing With Negative Numbers in Efficiency Analysis: An Application to the Indonesian Banking Sector," Discussion Paper Series 2009_20, Department of Economics, Loughborough University, revised Dec 2009.
    9. 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.
    10. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    11. Göran Bergendahl, 1998. "DEA and benchmarks – an application to Nordic banks," Annals of Operations Research, Springer, vol. 82(0), pages 233-250, August.
    12. 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.
    13. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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