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Radial and Nonradial Technical Efficiency Measures on a DEA Reference Technology : A Comparison using US Banking Data

Author

Listed:
  • FERRIER, Gary

    (Department of Economics, University of Arkansas, Fayetteville)

  • KERSTENS, Kris

    (Faculteit ETEW, K.U. Brussel)

  • VANDEN EECKAUT, Philippe

    (CORE, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium)

Abstract

Technical efficiency measures can be classified as either radial or nonradial. While the theoretical question of which is the better type of measure is unresolved, the radial measures enjoy much greater popularity than the nonradial measures in the empirical literature. To assess the impact of choice of measure, this paper offers an empirical comparison of one radial and three nonradial measures of technical efficiency, relative to a variable returns to scale DEA model with strong disposability. The distributions and rankings of these efficiency scores are examined for a sample of US banks, as is the ability of the radial efficiency measure to approximate its nonradial alternatives.

Suggested Citation

  • FERRIER, Gary & KERSTENS, Kris & VANDEN EECKAUT, Philippe, 1994. "Radial and Nonradial Technical Efficiency Measures on a DEA Reference Technology : A Comparison using US Banking Data," CORE Discussion Papers 1994023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:1994023
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    Cited by:

    1. Borger, Bruno De & Ferrier, Gary D. & Kerstens, Kristiaan, 1998. "The choice of a technical efficiency measure on the free disposal hull reference technology: A comparison using US banking data," European Journal of Operational Research, Elsevier, vol. 105(3), pages 427-446, March.
    2. Kerstens, Kristiaan & Mounir, Amine & Van de Woestyne, Ignace, 2011. "Geometric representation of the mean-variance-skewness portfolio frontier based upon the shortage function," European Journal of Operational Research, Elsevier, vol. 210(1), pages 81-94, April.
    3. Dervaux, Benoît & Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1998. "Radial and nonradial static efficiency decompositions: a focus on congestion measurement," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 299-312, June.
    4. 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.
    5. Thompson, Russell G. & Brinkmann, Emile J. & Dharmapala, P. S. & Gonzalez-Lima, M. D. & Thrall, Robert M., 1997. "DEA/AR profit ratios and sensitivity of 100 large U.S. banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 213-229, April.
    6. Laurens CHERCHYE & Tom VAN PUYENBROECK, 1999. "A Shadow Price Approach to Technical Efficiency Measurement," Working Papers Department of Economics ces9924, KU Leuven, Faculty of Economics and Business, Department of Economics.
    7. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    8. Athanassopoulos, Antreas D., 1996. "Assessing the comparative spatial disadvantage (CSD) of regions in the European Union using non-radial data envelopment analysis methods," European Journal of Operational Research, Elsevier, vol. 94(3), pages 439-452, November.
    9. Clements Adeyinka Akinsoyinu, 2015. "Efficiency Evaluation of European Financial Cooperative Sector. A Data Envelopment Analysis Approach," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 11-21, October.
    10. Kapelko, M. & Horta, I.M. & Camanho, A.S. & Oude Lansink, A., 2015. "Measurement of input-specific productivity growth with an application to the construction industry in Spain and Portugal," International Journal of Production Economics, Elsevier, vol. 166(C), pages 64-71.
    11. Cherchye, Laurens & Van Puyenbroeck, Tom, 2007. "Profit efficiency analysis under limited information with an application to German farm types," Omega, Elsevier, vol. 35(3), pages 335-349, June.
    12. KERSTENS , Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Distinguishing technical and scale efficiency on non-convex and convex technologies: theoretical analysis and empirical illustrations," CORE Discussion Papers 1998055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. McKillop, D. G. & Glass, J. C. & Ferguson, C., 2002. "Investigating the cost performance of UK credit unions using radial and non-radial efficiency measures," Journal of Banking & Finance, Elsevier, vol. 26(8), pages 1563-1591, August.
    14. Athanassopoulos, Antreas D., 1997. "Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches," European Journal of Operational Research, Elsevier, vol. 98(2), pages 300-313, April.
    15. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.

    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D69 - Microeconomics - - Welfare Economics - - - Other
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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