Competitiveness and Efficiency of the Banking Sector and Economic Growth in Egypt Sunil S. Poshakwale and Binsheng Qian Presentation of the paper for African Economic Conference 2009 Fostering Development in Era of Financial and Economic Crises Addis Ababa, November 11-13, 2009
Sunil S. Poshakwale and Binsheng Qian
Presentation of the paper for
African Economic Conference 2009
Fostering Development in Era of Financial and Economic Crises
Addis Ababa, November 11-13, 2009
1. CCR (Charnes, Cooper, and Rhodes1978),
Where, ECTh,t−1 is the hth error-correction term, the residuals from the hth cointegration equation, lagged one period, and βij,k describes the effect of the kth lagged value of variable j on the current value of variable i: i,j = Y1, Y2, Y3.
Table 5 Random effects regression for industry competition test with Panzar-Rosse
Table 6 H statistics for Egyptian banks by ownership types, 1992 – 2007
This table reports H-statistics based on the Panzar-Rosse model for different ownership types of Egyptian banks during the period 1992 – 2007.
The ownership type classification is based on identity of the owner with over 50% holdings. * indicates that Chi-sq statistic is significant at the 1% level.
Table 8 Results of simultaneous estimation for conjectural variations eq.
Figure 5 The industry average of bank competition in Egypt, 1992 - 2007
Table 11 Estimates of banking competition dynamics for POP model
Robustness Check (1)
Table 12 Empirical measures of productive efficiency for Egyptian banks, 1992 – 2007
Figure 6 Average efficiency score of Egyptian banking sector over time, 1992 – 2007
Table 13 Productive efficiency scores of Egyptian banks by ownership types
Table 14 Determinants of competition status of Egyptian banking sector, 1992 – 2007