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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. 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, December.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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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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