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Efficiency and Convergence in the Jamaican banking sector 1998-2007

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  • 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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  1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor and Francis Journals, vol. 27(6), pages 779-802.
  2. 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.
  3. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-36, July.
  4. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
  5. Robert J. Barro & Xavier Sala-i-Martin, 1991. "Convergence across States and Regions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(1), pages 107-182.
  6. 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.
  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. Daley, J & Matthews, Kent & Whitfield, Keith, 2006. "Too-Big-To-Fail: Bank Failure and Banking Policy in Jamaica," Cardiff Economics Working Papers E2006/4, Cardiff University, Cardiff Business School, Economics Section.
  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 and Francis Journals, vol. 12(4), pages 271-284.
  12. Barro, Robert J & Sala-i-Martin, Xavier, 1992. "Convergence," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 223-51, April.
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