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Efficiency and Convergence in the Jamaican banking sector 1998-2007

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Author Info

  • Daley, Jenifer
  • Matthews, Kent

    ()
    (Cardiff Business School)

Abstract

Deregulation, re-regulation and continuing globalisation embody an imperative that banks increase efficiency to survive. We employ non-parametric bootstrap DEA to measure technical efficiency among Jamaican banks between 1998 and 2007. In addition, we test for conditional convergence to identify pointing variables for technical efficiency. Overall, the results suggest that there has been a tendency towards improvement in bank efficiency levels for the largest banks. The findings show strong evidence of conditional convergence, which means that each bank is converging to its own steady-state and that GDP growth, ownership and size are the major influences on levels of technical efficiency.

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Bibliographic Info

Paper provided by Cardiff University, Cardiff Business School, Economics Section in its series Cardiff Economics Working Papers with number E2009/30.

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Length: 24 pages
Date of creation: Dec 2009
Date of revision:
Handle: RePEc:cdf:wpaper:2009/30

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Keywords: Bank efficiency; DEA; bootstrap; convergence; Jamaica;

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References

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  1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  2. SIMAR, Léopold & WILSON, Paul, 1995. "Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models," CORE Discussion Papers 1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Sala-i-martin, X., 1995. "The Classical Approach to Convergence Analysis," Papers 734, Yale - Economic Growth Center.
  4. Barro, R.J. & Sala-I-Martin, X., 1991. "Convergence Across States and Regions," Papers 629, Yale - Economic Growth Center.
  5. Li, Shanling, et al, 2001. " Comparative Performance of Chinese Commercial Banks: Analysis, Findings and Policy Implications," Review of Quantitative Finance and Accounting, Springer, vol. 16(2), pages 149-70, March.
  6. Allen Berger & John Leusner & John Mingo, 1994. "The Efficiency of Bank Branches," Center for Financial Institutions Working Papers 94-27, Wharton School Center for Financial Institutions, University of Pennsylvania.
  7. Daley, J. & Matthews, K. & Whitfield, K., 2008. "Too-big-to-fail: Bank failure and banking policy in Jamaica," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 290-303, July.
  8. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
  9. 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.
  10. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Bank performance, efficiency and ownership in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 31-53, January.
  11. Elyas Elyasiani & Rasoul Rezvanian, 2002. "A comparative multiproduct cost study of foreign-owned and domestic-owned US banks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(4), pages 271-284.
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Cited by:
  1. Sunil Kumar, 2013. "Banking reforms and the evolution of cost efficiency in Indian public sector banks," Economic Change and Restructuring, Springer, vol. 46(2), pages 143-182, May.

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