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Analyse der Mehrjahresentwicklung der Effizienz von Sparkassen unter Einsatz der Data Envelopment Analysis und des Malmquist-Index

Author

Listed:
  • Thomas Padberg

    (Fachhochschule der Wirtschaft)

  • Thomas Werner

    (Universität Paderborn)

Abstract

Summary This study analyses the changes in efficiency of German savings banks between 1995 and 1999. For this study both the non-parametric Data Envelopment Analysis (DEA) and the Malmquist-Index are used. In prior research one of the main problems was the falsification of results through outliers. Due to an improved modelling of DEA, extraordinary effects were identified and eliminated. Between 1995 and 1999 the technological change in savings banks measured by the Malmquist-Index was +2.3%. During the same period the average total efficiency of the savings banks declined from 82.2% to 81.2%. This indicates that the technological improvement was not fully shared by many banks. Furthermore the gap between efficient and non-efficient savings banks has grown.

Suggested Citation

  • Thomas Padberg & Thomas Werner, 2005. "Analyse der Mehrjahresentwicklung der Effizienz von Sparkassen unter Einsatz der Data Envelopment Analysis und des Malmquist-Index," Schmalenbach Journal of Business Research, Springer, vol. 57(3), pages 214-236, May.
    • Handle: RePEc:spr:sjobre:v:57:y:2005:i:3:d:10.1007_bf03372764
    DOI: 10.1007/BF03372764
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    References listed on IDEAS

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    1. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Grifell-Tatje, E. & Lovell, C. A. K., 1997. "The sources of productivity change in Spanish banking," European Journal of Operational Research, Elsevier, vol. 98(2), pages 364-380, April.
    4. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    5. Pedro Cantos & José Pastor & Lorenzo Serrano, 1999. "Productivity, efficiency and technical change in the European railways: A non-parametric approach," Transportation, Springer, vol. 26(4), pages 337-357, November.
    6. Saha, Asish & Ravisankar, T. S., 2000. "Rating of Indian commercial banks: A DEA approach," European Journal of Operational Research, Elsevier, vol. 124(1), pages 187-203, July.
    7. Margit Sommersguter-Reichmann, 2000. "The impact of the Austrian hospital financing reform on hospital productivity: empirical evidence on efficiency and technology changes using a non-parametric input-based Malmquist approach," Health Care Management Science, Springer, vol. 3(4), pages 309-321, September.
    8. 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.
    9. Grifell-Tatje, E. & Lovell, C. A. K., 1996. "Deregulation and productivity decline: The case of Spanish bavings banks," European Economic Review, Elsevier, vol. 40(6), pages 1281-1303, June.
    10. Arcelus, Francisco J. & Arocena, Pablo, 2000. "Convergence and productive efficiency in fourteen OECD countries: A non-parametric frontier approach," International Journal of Production Economics, Elsevier, vol. 66(2), pages 105-117, June.
    11. 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.
    12. Garden, Kaylee A. & Ralston, Deborah E., 1999. "The x-efficiency and allocative efficiency effects of credit union mergers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(3), pages 285-301, August.
    13. Odeck, James, 2000. "Assessing the relative efficiency and productivity growth of vehicle inspection services: An application of DEA and Malmquist indices," European Journal of Operational Research, Elsevier, vol. 126(3), pages 501-514, November.
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    More about this item

    Keywords

    G21; G28;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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