Production Efficiency in the South African Banking Sector: A Stochastic Analysis
Econometric estimates of the level of efficiency at bank branches are likely to provide detailed insight into the overall level of efficiency in banking. Therefore this paper uses Bayesian stochastic frontier analysis to assess the production efficiency of 61 bank branches in the nine provinces of the Republic of South Africa. We find that every branch is operating at increasing returns to scale and that the level of production efficiency of bank branches is lower than it could be. We also find that at current levels of output, on average, bank branches can reduce their costs by about 17% if they improve the level of efficiency. In addition, we find that Gauteng Province has the lowest average level of returns to scale, while the Free State Province has the highest average level of the nine provinces. In addition, via estimates of the posterior mean for shares and price elasticities, we find that the price of capital is the largest predicted proportion of costs. These findings suggest that bank branches could also obtain cost reductions by increasing the level of output. Regulatory policy reforms and competitive incentives to enable banks to meet this objective should be encouraged.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 20 (2006)
Issue (Month): 1 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/CIRA20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/CIRA20|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ferrier, Gary D. & Grosskopf, Shawna & Hayes, Kathy J. & Yaisawarng, Suthathip, 1993. "Economies of diversification in the banking industry : A frontier approach," Journal of Monetary Economics, Elsevier, vol. 31(2), pages 229-249, April.
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian efficiency analysis through individual effects: Hospital cost frontiers,"
Journal of Econometrics,
Elsevier, vol. 76(1-2), pages 77-105.
- Koop, G. & Osiewalski, J. & Steel, M. F. J., "undated". "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," CORE Discussion Papers RP 1245, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- KOOP , Gary & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Efficiency Analysis through Individual Effects : Hospital Cost Frontiers," CORE Discussion Papers 1995036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- 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.
- Salvanes, K.G. & Tjotta, S., 1998. "A NOte on the Importance of Testing for Regularities for Estimated Flexible Functional Forms," Norway; Department of Economics, University of Bergen 177, Department of Economics, University of Bergen.
- Mitchell A. Petersen & Raghuram G. Rajan, 1995. "The Effect of Credit Market Competition on Lending Relationships," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 407-443.
- Mitchell A. Petersen & Raghuram G. Rajan, 1994. "The Effect of Credit Market Competition on Lending Relationships," NBER Working Papers 4921, National Bureau of Economic Research, Inc.
- Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, April.
- Kishore Gawande, 1998. "Comparing Theories Of Endogenous Protection: Bayesian Comparison Of Tobit Models Using Gibbs Sampling Output," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 128-140, February.
- Gary Koop & Mark F J Steel, 1999. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
- van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
- Broeck, Julien Van den & Steel, Mark F.J. & Osiewalski, Jacek & Koop, Gary, 1992. "Stochastic frontier models: a bayesian perspective," UC3M Working papers. Economics 2823, Universidad Carlos III de Madrid. Departamento de Economía.
- Masciandaro, Donato, 2002. "What do your customers really know? Bank managers and compliance cost perceptions," Journal of Financial Transformation, Capco Institute, vol. 5, pages 37-42.
- Doris Neu Berger, 1998. "Industrial Organization of Banking: A Review," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 5(1), pages 97-118.
- Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
- Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
- Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, July.
- Kane, Edward J, 1996. "De Jure Interstate Banking: Why Only Now?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(2), pages 141-161, May. Full references (including those not matched with items on IDEAS)