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Efficacité technique des banques dans la CEMAC: Approche Data Envelopment Analysis
[Technical Efficiency of Banks in CEMAC Zone : Data Envelopment Analysis Approach]

Author

Listed:
  • Ngwa Edielle, T. H. Jackson
  • Hevi Kodzo, Dodzi

Abstract

The objective of this work is to evaluate and explain technical efficiencies of Banks in CEMAC zone. We use dynamic non parametric approach to estimate efficiencies scores and non parametric regression to explain inefficiencies. Our estimates shows that credits react positively to deposits but the reaction is still very weak indicating bank overliquidity. Technical inefficiencies estimated here are mainly explain by the market size and bank size mesure by net assets.

Suggested Citation

  • Ngwa Edielle, T. H. Jackson & Hevi Kodzo, Dodzi, 2007. "Efficacité technique des banques dans la CEMAC: Approche Data Envelopment Analysis
    [Technical Efficiency of Banks in CEMAC Zone : Data Envelopment Analysis Approach]
    ," MPRA Paper 9462, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:9462
    as

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    File URL: https://mpra.ub.uni-muenchen.de/9462/1/MPRA_paper_9462.pdf
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    References listed on IDEAS

    as
    1. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643.
    2. Bhattacharya Sudipto & Thakor Anjan V., 1993. "Contemporary Banking Theory," Journal of Financial Intermediation, Elsevier, vol. 3(1), pages 2-50, October.
    3. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    4. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 14-23.
    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. Park, B.U. & Simar, L. & Weiner, Ch., 2000. "The Fdh Estimator For Productivity Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 16(06), pages 855-877, December.
    7. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    8. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    9. 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.
    10. repec:cor:louvrp:-571 is not listed on IDEAS
    11. Rangan, Nanda & Grabowski, Richard & Aly, Hassan Y. & Pasurka, Carl, 1988. "The technical efficiency of US banks," Economics Letters, Elsevier, vol. 28(2), pages 169-175.
    12. Berg, Sigbjorn Atle & Forsund, Finn R. & Hjalmarsson, Lennart & Suominen, Matti, 1993. "Banking efficiency in the Nordic countries," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 371-388, April.
    13. Igor Jemrić & Boris Vujčić, 2002. "Efficiency of Banks in Croatia: A DEA Approach," Working Papers 7, The Croatian National Bank, Croatia.
    14. D H Kim, 2002. "Another look at yield spreads: The role of liquidity," Centre for Growth and Business Cycle Research Discussion Paper Series 04, Economics, The Univeristy of Manchester.
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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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