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Radial and nonradial technical efficiency measures on a DEA reference technology: a comparison using US banking data

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  • FERRIER, G. D.
  • KERSTENS, K.
  • VANDEN EECKAUT, P.

Abstract

Technical efficiency measure 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 ranking of these efficiency scores are examined for a sample of US banks.
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Suggested Citation

  • Ferrier, G. D. & Kerstens, K. & Vanden Eeckaut, P., 1994. "Radial and nonradial technical efficiency measures on a DEA reference technology: a comparison using US banking data," LIDAM Reprints CORE 1156, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:1156
    Note: In : Recherches Economiques de Louvain, 60 (4), 449-479, 1994. (Special issue on Efficiency Analysis in Financial Institutions / Analyse d'efficacité appliquée aux institutions financières.)
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    Cited by:

    1. 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.
    2. André Leclerc & Mario Fortin, 2003. "Production et rationalisation des intermédiaires financiers: Leçons à tirer de l’expérience des Caisses Populaires Acadiennes," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 74(3), pages 397-432, September.
    3. Laurens Cherchye & Tom Van Puyenbroeck, 1999. "A Shadow Price Approach to Technical Efficiency Measurement," Public Economics Working Paper Series ces9924, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. KERSTENS , Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Distinguishing technical and scale efficiency on non-convex and convex technologies: theoretical analysis and empirical illustrations," LIDAM Discussion Papers CORE 1998055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Watkins, K. Bradley & Henry, Chris G. & Hardke, Jarrod T. & Mane, Ranjitsinh U. & Mazzanti, Ralph & Baker, Ron, 2021. "Non-radial technical efficiency measurement of irrigation water relative to other inputs used in Arkansas rice production," Agricultural Water Management, Elsevier, vol. 244(C).
    16. 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.
    17. 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.
    18. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    19. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

    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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