Tobit model data
| Country | Efficiency | GCI | Corruption | IND |
|---|---|---|---|---|
| Seychelles | 0.110 | 59.6 | 66 | 7.4 |
| Rwanda | 0.140 | 52.8 | 56 | 6.4 |
| Ethiopia | 0.200 | 44.4 | 34 | 6.7 |
| Kenya | 0.210 | 54.1 | 27 | 8.8 |
| Mauritius | 0.230 | 64.3 | 51 | 13.4 |
| Uganda | 0.230 | 48.9 | 26 | 9.4 |
| Congo, Dem | 0.240 | 36.1 | 19 | 20.6 |
| Egypt | 0.260 | 54.5 | 35 | 16.7 |
| Malawi | 0.340 | 43.7 | 32 | 9.8 |
| Zambia | 0.380 | 46.5 | 35 | 8.7 |
| Zimbabwe | 0.470 | 44.2 | 22 | 12.3 |
| Burundi | 1.000 | 40.3 | 17 | 13.2 |
| Eswatini (Swaziland) | 1.000 | 46.4 | 38 | 32 |
| Country | Efficiency | GCI | Corruption | IND |
|---|---|---|---|---|
| Seychelles | 0.110 | 59.6 | 66 | 7.4 |
| Rwanda | 0.140 | 52.8 | 56 | 6.4 |
| Ethiopia | 0.200 | 44.4 | 34 | 6.7 |
| Kenya | 0.210 | 54.1 | 27 | 8.8 |
| Mauritius | 0.230 | 64.3 | 51 | 13.4 |
| Uganda | 0.230 | 48.9 | 26 | 9.4 |
| Congo, Dem | 0.240 | 36.1 | 19 | 20.6 |
| Egypt | 0.260 | 54.5 | 35 | 16.7 |
| Malawi | 0.340 | 43.7 | 32 | 9.8 |
| Zambia | 0.380 | 46.5 | 35 | 8.7 |
| Zimbabwe | 0.470 | 44.2 | 22 | 12.3 |
| Burundi | 1.000 | 40.3 | 17 | 13.2 |
| Eswatini (Swaziland) | 1.000 | 46.4 | 38 | 32 |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.