Sambracos, Evangelos and Maniati, Marina (2015): Technical Efficiency of Shipping Banks: A DEA Approach.
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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.
Item Type: | MPRA Paper |
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Original Title: | Technical Efficiency of Shipping Banks: A DEA Approach |
Language: | English |
Keywords: | Efficiency, shipping banks, DEA, finance, profitability. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General D - Microeconomics > D2 - Production and Organizations > D22 - Firm Behavior: Empirical Analysis G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 63131 |
Depositing User: | E Sambracos |
Date Deposited: | 24 Mar 2015 14:33 |
Last Modified: | 26 Sep 2019 09:50 |
References: | Aly, H.Y., Grabowski, R., Pasurka, C., Rangan, N. (1990). Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation. Review of Economics and Statistics, 72: 211-218. Ataullah, A., Le, H. (2004). Financial repression and liability of foreignness in developing countries. Applied Economics Letters, 11: 545–549. Ataullah, A., Le, H. (2006). Economic reforms and bank efficiency in developing countries: The case of the Indian banking industry. Applied Financial Economics, 16: 653–663. Avkiran, N.K. (1999). The evidence on efficiency gains: The role of mergers and the benefits to the public. Journal of Banking and Finance, 23: 991-1013. Banker, R.D., Morey, R.C. (1986). Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research, 34: 513-521. Barr, R., Siems, T. (1994). Predicting bank failure using DEA to quantify management quality. Working Paper. Federal Reserve Bank of Dallas. Barr, R.S., Killgo, K.A., Siems, T.F., Zimmel, S.A. (2002). Evaluating the productive efficiency and performance of U.S. commercial banks. Manage. Finan., 28 (8): 3–25. Beccalli, E., Casu, B., Girardone, C. (2006). Efficiency and stock performance in european banking. Journal of Business Finance and Accounting, 33: 245–262 Berg, A.S., Claussen, C.A., Forsund, R.F. (1993). Banking efficiency in Nordic countries: A Multi-output analysis, Norges Bank Research paper No.3, Oslo. Berg, S.A., Forsund, F.R., Hjalmarsson, L., Suominen, M. (1993). Banking efficiency in the Nordic countries. Journal of Banking and Finance, 17: 371 – 388. Berg, S.A., Forsund, F.R., Jansen, E.S. (1991). Bank output measurement and the construction of best practice frontiers. Journal of Productivity Analysis: 2, 127-142. Berger, A.N., Humphrey, D.B. (1997). Efficiency of financial institutions: International survey and directions for future research, European Journal of Operational Research, 98: 175-212 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, 98: 251-269 Canhoto, A., Dermine, J. (2003). A note on banking efficiency in Portugal, New vs. Old banks. Journal of Banking and Finance, 27: 2087-2098. Casu, B., Molyneux, P. (2003). A comparative study of efficiency in European banking. Applied Economics, 35: 1865-1876. Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2: 312-329 Coelli, T.J., Perelman, S. (1996). Efficiency Measurement, Multi-Output Technologies and Distance Functions: With Application to European Railways. CreppWp 96/05. Centre de Recherche en Economie Publique Et Economie de la Population, Université de Liège. Coelli, T.J., Prasada-Rao, D.S., O’Donnell, C.J., Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis, (second ed.), Springer, USA. Dermiguc-Kunt, A. (1989). Deposit institutions failure: a review of the empirical literature. Federal Reserve Bank Cleveland Econ. Rev., 25 (4): 2–18 Elayasiani, E., Mehdian, S.M. (1990). A Nonparametric Approach to Measurement of Efficiency and Technological Change: The Case of Large U.S. Commercial Banks. Journal of Financial Services Research, 4: 157-168 Farell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120, Part 111, Series A: 253-81. Ferrier, G.D., Lovell, C.A.K. (1990). Measuring Cost Efficiency in Banking: Econometric and Linear Programming Evidence. Journal of Econometrics, 46: 229-245 Hasan, I., Marton, K. (2003). Development and efficiency of the banking sector in a transitional economy: a Hungarian experience. J. Bank. Finan., 27 (12): 2249–2271. Hauner, D. (2005). Explaining efficiency differences among large German and Austrian banks. Appl. Econ, 37 (9): 969–980. Isik, I., Hassan, M.K. (2002). Technical, scale and allocative efficiencies of Turkish banking industry. J. Bank. Finan, 26 (4): 719–766. Kwan, S.H., Eisenbeis, R. (1995). An analysis of inefficiencies in banking. J. Bank. Finan., 19 (3–4): 733–734. Liebenstein, H. (1966). Allocative efficiency vs. "X-efficiency", American Economic Review, 56: 392- 415. Miller, S.M., Noulas, A.G. (1996). The technical efficiency of large bank production. J. Bank. Finan., 20 (3): 495–509. Noulas, A.G. (1997): Productivity growth in the Hellenic banking industry: state versus private banks. Applied Financial Economics, 7: 223-228. Resti, A. (1997). Evaluating the cost efficiency of the Italian banking system: what can be learned from the joint application of parametric and non-parametric techniques. J. Bank. Finan., 21 (2): 221–250. Ray C. S.,( 2004), Data Envelopment Analysis Theory and Techniques for Economics and Operations Research, Cambridge University Press. Roberta, B., Souza, S.G., Tabak, B.M. (2009). Evolution of Bank Efficiency in Brazil: A DEA Approach, Working Papers Series 200, Central Bank of Brazil, Research Department. Roberta, B., Staub, G., da Silva, G. Souza, B.M. Tabak, L. (2009). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 32: 56-71 Sherman, H.D., Gold, F. (1985). Bank Branch Operating Efficiency. Evaluation with Data Envelopment Analysis. Journal of Banking and Finance, 9: 297-315. Shiang-Tai, L. (2010). Measuring and categorizing technical efficiency and productivity change of commercial banks in Taiwan. Expert Systems with Applications, 37: 2783–2789. Siems, T. F. (1991). An Envelopment-Analysis Approach to Measuring Management Quality and Predicting Failure of Banks. Ph.D. Dissertation, Southern Methodist University Siriopoulos, C., Tziogkidis, P. (2009). How do Greek banking institutions react after significant events? A DEA approach, European Journal of Operational Research, 23: 17-25 Soteriou, A.C., Zenios, S.A. (1999). Using data envelopment analysis for costing bank products. European Journal of Operational Research, 114: 234-24. Sufian, F. (2009). Determinants of bank efficiency during unstable macroeconomic enviroment: Empirical evidence from Malaysia. Research in International Business and Finance, 23: 54-77. Tyrone, T.L., Chia-Chi, L., Tsui-Fen, C. (2009). Application of DEA in analyzing a bank’s operating performance. Research in International Business and Finance, 36: 8883–8891 Whalen, G. (1991). A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool. Federal Reserve Bank Cleveland Econ. Rev., 27 (1): 21–31. Wua J., Yanb H. and Liub J (2010). DEA models for identifying sensitive performance measures in container port evaluation. Maritime Economics & Logistics (2010) 12: 215–236 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/63131 |