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Opening the black box: Finding the source of cost inefficiency

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  • Santiago Carbó Valverde
  • David Humphrey

    ()

  • Rafael López del Paso

Abstract

Parametric and nonparametric procedures are used to identify the apparent source of cost inefficiency in banking. Inefficiencies of 20–25% from earlier studies are reduced to 1–5% when, in addition to commonly specified cost function influences, variables reflecting banks’ external business environment and industry indicators of “productivity” are added. These productivity indicators explain most of the reduction in bank operating cost over 1992–2001 and was 5 times the reduction in the dispersion of inefficiency. Inefficiency appears stable over time because it is small relative to industry-wide cost changes occurring concurrently and because technology dispersion is imperfect. Copyright Springer Science+Business Media, LLC 2007

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File URL: http://hdl.handle.net/10.1007/s11123-007-0034-x
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Bibliographic Info

Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 27 (2007)
Issue (Month): 3 (June)
Pages: 209-220

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Handle: RePEc:kap:jproda:v:27:y:2007:i:3:p:209-220

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Web page: http://www.springerlink.com/link.asp?id=100296

Related research

Keywords: Cost efficiency; Banks; G21; G28; E58;

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References

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  1. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  2. Allen N. Berger & David B. Humphrey, 1990. "The dominance of inefficiencies over scale and product mix economies in banking," Finance and Economics Discussion Series 107, Board of Governors of the Federal Reserve System (U.S.).
  3. Francisco Pérez García & Javier Quesada Ibañez & Joaquín Maudos Villarroya & José Manuel Pastor Monsálvez, 1999. "- Cost And Profit Efficiency In European Banks," Working Papers. Serie EC 1999-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  4. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Finance and Economics Discussion Series 1997-50, Board of Governors of the Federal Reserve System (U.S.).
  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. Bauer, Paul W. & Hancock, Diana, 1993. "The efficiency of the Federal Reserve in providing check processing services," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 287-311, April.
  7. Lozano-Vivas, Ana & Humphrey, David B., 2002. "Bias in Malmquist index and cost function productivity measurement in banking," International Journal of Production Economics, Elsevier, vol. 76(2), pages 177-188, March.
  8. Humphrey, David & Willesson, Magnus & Bergendahl, Goran & Lindblom, Ted, 2006. "Benefits from a changing payment technology in European banking," Journal of Banking & Finance, Elsevier, vol. 30(6), pages 1631-1652, June.
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Citations

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Cited by:
  1. Kauko, Karlo, 2009. "Managers and efficiency in banking," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 546-556, March.
  2. Bolt, Wilko & Humphrey, David, 2013. "Competition in bank-provided payment services," Working Paper Series 1539, European Central Bank.
  3. Mario Fortin & Andre Leclerc, 2010. "L’Efficience Des Cooperatives De Services Financiers : Une Analyse De La Contribution Du Milieu," Cahiers de recherche 10-14, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.
  4. Mª Pilar García-Alcober & Emili Tortosa-Ausina & Diego Prior & Manuel Illueca, 2014. "Cost and revenue efficiency in Spanish banking: What distributions show," Working Papers 2014/12, Economics Department, Universitat Jaume I, Castellón (Spain).
  5. Koetter, Michael & Poghosyan, Tigran, 2008. "The implications of latent technology regimes for competition and efficiency in banking," Discussion Paper Series 2: Banking and Financial Studies 2008,15, Deutsche Bundesbank, Research Centre.
  6. Manlagñit, Maria Chelo V., 2011. "Cost efficiency, determinants, and risk preferences in banking: A case of stochastic frontier analysis in the Philippines," Journal of Asian Economics, Elsevier, vol. 22(1), pages 23-35, February.
  7. George Furstenberg, 2008. "Assessing the Competitiveness of International Financial Services in Particular Locations: A Survey of Methods and Perspectives," Open Economies Review, Springer, vol. 19(4), pages 539-556, September.
  8. Wilko Bolt & David Humphrey, 2008. "Bank Competition Efficiency in Europe: A Frontier Approach," DNB Working Papers 194, Netherlands Central Bank, Research Department.
  9. Wilko Bolt & David Humphrey, 2012. "A Frontier Measure of U.S. Banking Competition," DNB Working Papers 359, Netherlands Central Bank, Research Department.
  10. Bos, J.W.B. & Koetter, M. & Kolari, J.W. & Kool, C.J.M., 2009. "Effects of heterogeneity on bank efficiency scores," European Journal of Operational Research, Elsevier, vol. 195(1), pages 251-261, May.
  11. Lakshmi Balasubramanyan & Spiro Stefanou & Jeffrey Stokes, 2012. "An entropy approach to size and variance heterogeneity in U.S. commercial banks," Journal of Economics and Finance, Springer, vol. 36(3), pages 728-749, July.
  12. Santiago Carbó-Valverde, 2007. "Implications of Basel II for Different Bank Ownership Patterns in Europe," Atlantic Economic Journal, International Atlantic Economic Society, vol. 35(4), pages 391-397, December.
  13. Humphrey, David, 2009. "Payment scale economies, competition, and pricing," Working Paper Series 1136, European Central Bank.
  14. Tigran Poghosyan & Subal Kumbhakar, 2010. "Heterogeneity of technological regimes and banking efficiency in former socialist economies," Journal of Productivity Analysis, Springer, vol. 33(1), pages 19-31, February.

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