Research Article
A Network DEA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China
Table 1
Pooled descriptive statistics of inputs and outputs (185 observations).
| Variable | Mean | Std. Dev. | Min. | Max. |
| Subprocess 1 inputs | | | | | = fixed assets | 2489.101 | 5914.042 | 2.561 | 28267.010 | = equity | 17342.500 | 38230.240 | 80.385 | 212196.100 | = personnel expenses | 1612.693 | 3565.357 | 6.613 | 18097.020 | Intermediates | | | | | = deposits and short-term funding | 257641.300 | 550848.900 | 1286.135 | 2897070.000 | = other raised funds | 4941.384 | 12923.420 | 0.010 | 106278.600 | Final outputs | | | | | = gross loans | 146832.400 | 314206.600 | 892.766 | 1655451.000 | = other earning assets | 130770.400 | 282761.900 | 287.213 | 1537414.000 | = NPLs | 1860.672 | 4234.151 | 0.038 | 19615.920 |
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Note: all are in million USD.
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