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Albanian Banking Efficiency Analysis: A Production Dea Approach - Comparision Of Crs And Vrs Model

Author

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  • Erjola BARBULLUSHI (SAKTI)

    (University of Shkodra "Luigj Gurakuqi", Economic Faculty, Finance-Accounting Department, Sheshi 2 Prilli, Rektorati, postal code 4001, Shkoder, Albania)

  • Orfea DHUCI

    (University of Tirana, Faculty of Economy, Finance Department, Rr. Elbasanit, Tirane, Albania)

Abstract

For performance evaluation purposes of economic entity one should consider different aspects of its activity. In case of banks this objective is quite difficult since they offer a wide range of services and the activities performed are such complex. Researchers all over the world have adopted different approaches and techniques for bank evaluation from different point of view: from shareholder`s or regulators. From the literature review we cannot observe the most preferred approach implemented for this purpose. Last years the economic models , parametric and non-parametric approaches have gained much interest in the field. In this study we propose a non-parametric approach for bank evaluation known as Data Envelopment Analysis (DEA). Shortly, here in it is presented the DEA background and its development from the original work of Charnes, Cooper and Rhodes (1978), followed by a literature review on the implementation of this approach in the banking sector in the region and more. Third, there are discussed so

Suggested Citation

  • Erjola BARBULLUSHI (SAKTI) & Orfea DHUCI, 2015. "Albanian Banking Efficiency Analysis: A Production Dea Approach - Comparision Of Crs And Vrs Model," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 59-68, December.
    • Handle: RePEc:hrs:journl:v:vii:y:2015:i:2:p:59-68
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    References listed on IDEAS

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    1. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, January.
    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, January.
    3. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    4. Abhiman Das & Saibal Ghosh, 2006. "Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period," Review of Financial Economics, John Wiley & Sons, vol. 15(3), pages 193-221.
    5. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    6. A S Camanho & R G Dyson, 1999. "Efficiency, size, benchmarks and targets for bank branches: an application of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 903-915, September.
    7. Sherman, H. David & Rupert, Timothy J., 2006. "Do bank mergers have hidden or foregone value? Realized and unrealized operating synergies in one bank merger," European Journal of Operational Research, Elsevier, vol. 168(1), pages 253-268, January.
    8. 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.
    9. Wheelock, David C & Wilson, Paul W, 1999. "Technical Progress, Inefficiency, and Productivity Change in U.S. Banking, 1984-1993," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(2), pages 212-234, May.
    10. 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.
    11. A. Camanho & R. Dyson, 2006. "Data envelopment analysis and Malmquist indices for measuring group performance," Journal of Productivity Analysis, Springer, vol. 26(1), pages 35-49, August.
    12. Allen N. Berger & David B. Humphrey, 1992. "Measurement and Efficiency Issues in Commercial Banking," NBER Chapters, in: Output Measurement in the Service Sectors, pages 245-300, National Bureau of Economic Research, Inc.
    13. Brown, Rayna, 2006. "Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1100-1116, October.
    14. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    15. 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.
    16. Hancock, Diana, 1985. "Bank Profitability, Interest Rates, and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(2), pages 189-202, May.
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    More about this item

    Keywords

    efficiency; DEA; production approach; CRS; VRS; Albanian banks;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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