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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Measuring the Efficiency of Pan African Commercial Banks: An Application of Malmquist DEA Methods

Abebe Bayu Cheriye

http://dx.doi.org/10.6007/IJARBSS/v10-i8/7665

Open access

This paper aims to measure the efficiency of Pan African Commercial Banks using Malmquist Data Envelopment Analysis Methods (DEA) over the period 2010-2015. Malmquist DEA methods are used to calculate indices of total factor productivity change; technological change; technical efficiency change and scale efficiency change. According to empirical findings, the total factor productivity of Pan African Commercial banks declined over the study period. The main cause of the decline in total factory production was due to a reduction in technological efficiency. It is therefore recommended that Pan African Commercial banks substantially upgrade technology. Moreover, there is an increase in the technical efficiency of Pan African Commercial Banks over the study period. On average the technical efficiency of the Pan African commercial banks is largely contributed by the scale efficiency than pure technical efficiency. Therefore, Pan African Commercial banks should enhance managerial efficiency.

Almumani, M. A. (2013). The Relative Efficiency of Saudi Banks?: Data Envelopment Analysis Models, 3(3), 152–161. http://doi.org/10.6007/IJARAFMS/v3-i3/115.
Barr, R. S., Seiford, L. M., & Siems, T. F. (1993). An Envelopment analytical approach to measuring the managerial efficiency of banks. Third European Workshop on efficiency and productivity measurement,www.ccsenet.org/ijbm International Journal of Business and Management Vol. 8, No. 4; 2013 center for operational research and econometric, Louvain, Belgium (October).
Charnes, C., and Rhodes. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research. 2 (4). 429-444.
Coelli, T., Rao, P. D. S., and Battese, G. E. (1998). An Introduction to Ef?ciency and Productivity Analysis, Springer, Berlin
Coelli, T. (2008). A Guide to DEAP Version 2 . 1?: A Data Envelopment Analysis ( Computer ) Program by (No. 96/08). Australia.
Cooper, W. W., Seiford, L. M., and Kaoru, T. (2007).Dataenvelopmentanalysis, AComprehensive TextwithModels, Applications, Referencesand DEA-SolverSoftware,Springer,NewYork, NY.
Debreu. (1951). The coefficient of http://dx.doi.org/10.2307/1906814 resource utilization. Econometrica, 273-92.
Ecobank. (2016). reference. Retrieved from http://www.ecobank.com/group/ecobanktoday
Erasmus, C., & Makina, D. (2014). ’An Empirical Study of Bank Efficiency in South Africa Using the Standard and Alternative Approaches to Data Envelopment Analysis (DEA)’. Journal of Economics and Behavioral Studies, 6(4), 310-317.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of royal statistical society series, 253-81. http://dx.doi.org/10.2307/2343100
Ferrier, G., & Lovell, C. A. K. (1990). Measuring cost efficiency in banking: Econometric and linear programming evidence. Journal of Econometrics, 46, 229-245. http://dx.doi.org/10.1016/0304-4076(90)90057-Z
Hassan, T. (2009). Efficiency of convectional versus from Islamic banks: Evidence from Middle East.International Journal of Islamic and Middle Eastern Finance Management, 2(1), 46- 65. http://dx.doi.org/10.1108/17538390910946267
Ikhide, S. I. (2008). Measuring the operational efficiency of commercial banks in Namibia?, South African Journal of Economics. Vol. 76, no. 4, pp. 586 – 95.
Koopmans, T. (1951). Activity analysis of Production and allocation. John Wiley & Sons, Newyork.
KPMG. (2015). Banking in Sub-Saharan Africa.
Malmquist, S. (1953). Index numbers and indifference surfaces, Trabajos de Estadística y de Investigación Operativa, Vol. 4 No. 2, pp. 209-242.
Mathieu, A. B. P. (2015). Continental Reach. Finance & Development, 52, No. 2(June).
Miller, S., and Noulas. (1996). The technical efficiency of Large Banks Production, Journal of Banking and Finance ,20,3,495-509.
Obafemi, F. N. (2012). The technical efficiency of Nigerian banks. Asian Economic and Financial Review, 2(2), 407.
Onour, I. A., & Abdalla, A. M. (2010). Efficiency of Islamic banks in Sudan: a non-parametric approach. API/WPS, 1012.
Raphael, G. (2012). Commercial banks efficiency in Tanzania?: A non parametric approach. European Journal of Business and Management, 4(21), 55–68. http://doi.org/10.5539/ijbm.v8n4p50.
Raphael, G. (2013). Efficiency of Commercial Banks in East Africa: A Non Parametric Approach. International Journal of Business and Management,8(4), p50.
Samy, B. N., Hichen, B. K., & Barbara, C. (2009). What drives efficiency of selected MENA banks? A Meta frontier analysis WP03/09 Cass business school.
Sealey, C., & Lindley, J. (1997). Inputs and outputs, and Theory of production and cost at depository financial institutions. Journal of finance, 32(4).
Siems, T. F. (1992). Quantifying Management`s role in bank survival. Federal Reserve bank of Dallas, Economic Review (January), 29-41.
Singh. (2008). A Cross country comparison of banking efficiency: Asian Pacific Banks. International Review of business research papers, 4(3), 73-95.
Siudek, T. (2008). Theoretical foundation of banks' efficiency and empirical evidence from Poland., 3 (3), 150–158.
Yue, P. (1992). Data Envelopment Analysis and Commercial bank performance: A primer with application to Missouri banks. Federal Reserve Bank of St. Louis Review, 74, 31-45.

In-Text Citation: (Cheriye, 2020)
To Cite this Article: Cheriye, A. B. (2020). Measuring the Efficiency of Pan African Commercial Banks: An Application of Malmquist DEA Methods. International Journal of Academic Research in Business and Social Sciences. 10(8), 942-954.