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Technical Efficiency of Shipping Banks: A DEA Approach

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  • Sambracos, Evangelos
  • Maniati, Marina

Abstract

The international transportation Industry involves various sectors, shipping being one with particular characteristics which differentiates it from others. Within this scope, commercial banks are one of the main entities that may offer the required funding in a market that is characterized by the need for large amounts of capital and high operating costs. Banks play a significant role and are required to assess a number of factors in order to limit the risk from loans as well as to establish an accurate risk-return ratio. The efficiency of banks involved in the shipping industry is particularly important since it may, on one hand, affect financial growth, and on the other, create systemic crisis that may affect the economy as a whole as it directly affects the borrowing and consequently the financial situation and investment activity the shipping companies. This paper presents an effort to assess the shipping banks’ efficiency, and the determination of those factors which affect their technical efficiency, through the application of Data Envelopment Analysis. The results of this research indicate the factors that affect the efficiency of the shipping banks such as ROA, ROE, total loan loss provision to total loans ratio, total deposits and total assets, providing significant information to be considered by management regarding factors on which they should further focus in order to maintain and/or reinforce technical efficiency.

Suggested Citation

  • Sambracos, Evangelos & Maniati, Marina, 2015. "Technical Efficiency of Shipping Banks: A DEA Approach," MPRA Paper 63131, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:63131
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    File URL: https://mpra.ub.uni-muenchen.de/63131/5/MPRA_paper_63131.pdf
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    References listed on IDEAS

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    1. Simon H. Kwan & Robert A. Eisenbeis, 1996. "An analysis of inefficiencies in banking: a stochastic cost frontier approach," Economic Review, Federal Reserve Bank of San Francisco, pages 16-26.
    2. Richard S. Barr & Thomas F. Siems, 1994. "Predicting bank failure using DEA to quantify management quality," Financial Industry Studies Working Paper 94-1, Federal Reserve Bank of Dallas.
    3. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    4. Canhoto, Ana & Dermine, Jean, 2003. "A note on banking efficiency in Portugal, New vs. Old banks," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2087-2098, November.
    5. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    6. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    7. Avkiran, Necmi Kemal, 1999. "The evidence on efficiency gains: The role of mergers and the benefits to the public," Journal of Banking & Finance, Elsevier, vol. 23(7), pages 991-1013, July.
    8. 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.
    9. Ali Ataullah & Hang Le, 2004. "Financial repression and liability of foreignness in developing countries," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 545-549.
    10. Brockett, P. L. & Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1997. "Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances," European Journal of Operational Research, Elsevier, vol. 98(2), pages 250-268, April.
    11. 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.
    12. 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.
    13. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    14. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    15. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    16. David Hauner, 2005. "Explaining efficiency differences among large German and Austrian banks," Applied Economics, Taylor & Francis Journals, vol. 37(9), pages 969-980.
    17. Miller, Stephen M. & Noulas, Athanasios G., 1996. "The technical efficiency of large bank production," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 495-509, April.
    18. Ali Ataullah & Hang Le, 2006. "Economic reforms and bank efficiency in developing countries: the case of the Indian banking industry," Applied Financial Economics, Taylor & Francis Journals, vol. 16(9), pages 653-663.
    19. Gary Whalen, 1991. "A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 21-31.
    20. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    21. Sufian, Fadzlan, 2009. "Determinants of bank efficiency during unstable macroeconomic environment: Empirical evidence from Malaysia," Research in International Business and Finance, Elsevier, vol. 23(1), pages 54-77, January.
    22. Isik, Ihsan & Hassan, M. Kabir, 2002. "Technical, scale and allocative efficiencies of Turkish banking industry," Journal of Banking & Finance, Elsevier, vol. 26(4), pages 719-766, April.
    23. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    24. Richard S. Barr & Kory A. Killgo & Thomas F. Siems & Sheri Zimmel, 1999. "Evaluating the productive efficiency and performance of U.S. commercial banks," Financial Industry Studies Working Paper 99-3, Federal Reserve Bank of Dallas.
    25. Kwan, Simon H. & Eisenbeis, Robert A., 1995. "An analysis of inefficiencies in banking," Journal of Banking & Finance, Elsevier, vol. 19(3-4), pages 733-734, June.
    26. Elena Beccalli & Barbara Casu & Claudia Girardone, 2006. "Efficiency and Stock Performance in European Banking," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(1-2), pages 245-262.
    27. Berg, Sigbjorn Atle & Forsund, Finn R. & Hjalmarsson, Lennart & Suominen, Matti, 1993. "Banking efficiency in the Nordic countries," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 371-388, April.
    28. Athanasios Noulas, 1997. "Productivity growth in the Hellenic banking industry: state versus private banks," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 223-228.
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    Keywords

    Efficiency; shipping banks; DEA; finance; profitability.;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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