Research Article

An Eco-Inefficiency Dominance Probability Approach for Chinese Banking Operations Based on Data Envelopment Analysis

Table 6

Pairwise dominance probability for BOJ, ABC, and RCBZ in 2018.

BanksDominatingDominated
BOJABCRCBZBOJABCRCBZ

DMU10.31070.77080.11020.68930.22920.8898
DMU20.92140.80980.36260.07860.19020.6374
DMU30.90910.80580.12310.09090.19420.8769
DMU40.18130.34930.16160.81870.65070.8384
DMU50.25590.75080.13690.74410.24920.8631
DMU60.90960.80420.11450.09040.19580.8855
DMU70.89280.79900.11070.10720.20100.8893
DMU80.36960.77460.13540.63040.22540.8646
DMU90.17180.12190.15030.82820.87810.8497
DMU101.00000.78200.08051.00000.21800.9195
DMU110.92140.81040.39710.07860.18960.6029
DMU120.21990.66160.15570.78010.33840.8443
DMU130.21250.72020.13690.78750.27980.8631
DMU140.89060.79290.09020.10940.20710.9098
DMU150.96850.79820.14420.03150.20180.8558
DMU160.21801.00000.18950.78201.00000.8105
DMU170.30860.74980.15850.69140.25020.8415
DMU180.19680.70040.13400.80320.29960.8660
DMU190.91870.80810.17520.08130.19190.8248
DMU200.91130.80840.20780.08870.19160.7922
DMU210.56610.78330.11360.43390.21670.8864
DMU220.92040.81040.21320.07960.18960.7868
DMU230.91740.80980.16650.08260.19020.8335
DMU240.91410.80860.13110.08590.19140.8689
DMU250.15590.70140.10990.84410.29860.8901
DMU260.91950.81051.00000.08050.18951.0000
DMU270.92290.80480.14720.07710.19520.8528
DMU280.24990.70600.16840.75010.29400.8316
DMU290.91160.80550.16660.08840.19450.8334
DMU300.18320.41060.15640.81680.58940.8436
DMU310.24050.72030.15290.75950.27970.8471
DMU320.91710.80910.16460.08290.19090.8354
Mean0.60960.73750.18640.42170.29380.8448