The analysis of the total factors productivity growth in waemu banks:the x efficiency approach

Zoma, Isaїe Armand (2010): The analysis of the total factors productivity growth in waemu banks:the x efficiency approach.

Abstract

In this paper, we make an analysis of productivity’s gaps in WAEMU’s banks; the intra-organizational strategy is privileged. For that purpose, we study the progression of the global factors productivity using the Data Envelopment Analysis (DEA), and then the X efficiency scores are calculated using stochastical frontier approach (SFA). The study period (2002 to 2006) corresponds to the post financial liberalization in the zone and to a changed banking and financial environment. We find that the global productivity of the factors remained relatively unchanged but that globally the X efficiency of the banks lightly decreased, remaining nevertheless at a relatively high level of the order of 80% .Big banks, of the viewpoint of their size and the private and semi-public banks, of the viewpoint of their capital structure, have the biggest mean scores of X efficiency.

• Item Type: MPRA Paper
• Language: English
• Keywords: bank; WAEMU; productivity; global productivity; X efficiency; DEA; SFA
• Subjects: D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity; G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages

References

[1] Aigner, D.J; Lovell, C.A.K.; Schmidt, P. (1977) .Formulation and estimation of stochastic frontier production functions. Journal of Econometrics, 6:21--37.

[2] Allen N. Berger, David B. Humphrey (1997). Efficiency of Financial institutions: International Survey and Directions for Future Research. European Journal of Operational Research, Vol 98, pp. 175 – 212, 37p

[3] Battese GE, Coelli TJ (1992) .Frontier production functions, technical efficiency and panel data with application to paddy fanners in India. Journal of Productivity Analysis 3: 1 S3-169

[4]Battese GE, Coelli TJ (1993) .A stochastic frontier production function incorporating a model for technical inefficiency effects. Working Papers in Econometrics and Applied Statistics No 69, Department of Econometrics. University of New England. Armidale

[5] Battese GE, Coelli TJ (1995) .A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics (1995) 20:325-332

[6] Bceao (2002 à 2006), Bilans des Banques et Établissements financiers de l’UMOA, divers numéros, Dakar

[7] Bceao (2002 à 2007).Rapports annuels, divers numéros, Dakar

[8] Bceao (2003, 2004,2006, 2007). Rapports de la commission bancaire de l’UMOA, divers numéros,Dakar .

[9] Emili Tortosa-Ausina, Emili Grifell-Tatjé, Carmen Armero ,David Conesa (2002). Sensitivity analysis of efficiency and malmquist productivity indices: an application to spanish savings banks. Instituto Valenciano de Investigaciones Económicas working paper, WP-EC 2002-30

[10] Farrel (1957).The Measurement of Productive Efficiency.Journal of the Royal Statistical Society. Series A (General), Vol. 120, No. 3 (1957), pp. 253-290

[11] Grifell-Tatje, E., Lovell, C.A.K. (1997).The sources of productivity change in Spanish banking.European Journal of Operational Research, Vol. 98 pp.364-80

[12] Joumady, O. (2000). Efficacité et productivité des banques au Maroc durant la période de libéralisation financière : 1990-1996. 17èmes Journées Internationales d'Economie Monétaire et Bancaire Lisbonne, 7-9 juin 2000

[13] Kablan S. (2007). Mesure de la performance des banques des pays en développement: le cas de l’UEMOA. Workshop du 2 au 7 Juin.

[14] Kablan S (2008). Mesure de la performance des banques dans une zone d’ancrage monétaire : cas de la France et des pays de l’UEMOA