Table 7.
Tobit regression analyses
| MODEL_1 – Technical efficiency (VRS) | MODEL_2 – Scale efficiency | |||||||
| Explanatory Variables | Coefficient | Std. Err. | t-ratio | P-value | Coefficient | Std. Err. | t-ratio | P-value |
| Constant | 75.93 | 4.36 | 17.43 | 0.000 | 79.58 | 2.57 | 30.94 | 0.000 |
| TYPE_2 | 20.90 | 3.62 | 5.77 | 0.000 | 2.62 | 2.11 | 1.23 | 0.218 |
| SIZE_2 | -11.59 | 4.58 | -2.53 | 0.012 | 12.91 | 2.71 | 4.77 | 0.000 |
| SIZE_3 | -10.25 | 4.64 | -2.21 | 0.028 | 17.62 | 2.74 | 6.42 | 0.000 |
| LOCAT_2 | 8.79 | 4.67 | 1.88 | 0.061 | -8.75 | 2.70 | -3.24 | 0.001 |
| Log likelihood | -708.701 | -716.349 | ||||||
| Chi-square | 44.33 * | 80.57 * | ||||||
| Pseudo R2 | 0.031 | 0.053 | ||||||
TYPE_2: IKA units, SIZE_2: medium size units, SIZE_3: large size units, LOCAT_2: remote/island units
*P < 0.001