Table 3.
PMC index and ranking of LTCI policy models in 14 pilot cities.
| City | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 | X9 | PMC Index | Ranking |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anqing | 1.000 | 0.500 | 0.333 | 0.750 | 0.750 | 0.500 | 0.600 | 1.000 | 0.500 | 0.593 | 11 |
| Changchun | 0.750 | 0.750 | 0.667 | 0.250 | 0.500 | 0.500 | 0.600 | 0.750 | 0.500 | 0.527 | 14 |
| Chengde | 0.750 | 0.750 | 0.333 | 0.750 | 0.750 | 0.500 | 0.800 | 1.000 | 0.500 | 0.613 | 8 |
| Chengdu | 0.750 | 1.000 | 0.333 | 0.750 | 0.750 | 0.333 | 0.800 | 0.750 | 1.000 | 0.647 | 6 |
| Chongqing | 0.250 | 1.000 | 0.333 | 0.500 | 1.000 | 0.333 | 1.000 | 0.750 | 0.500 | 0.567 | 13 |
| Guangzhou | 1.000 | 0.500 | 0.333 | 0.250 | 1.000 | 0.833 | 0.600 | 1.000 | 0.500 | 0.602 | 9 |
| Jingmen | 0.250 | 1.000 | 1.000 | 0.750 | 0.750 | 1.000 | 0.800 | 1.000 | 0.500 | 0.705 | 4 |
| Nantong | 1.000 | 1.000 | 1.000 | 0.750 | 1.000 | 0.833 | 0.800 | 1.000 | 1.000 | 0.838 | 2 |
| Ningbo | 1.000 | 1.000 | 0.333 | 0.250 | 0.500 | 0.833 | 0.600 | 0.500 | 1.000 | 0.602 | 10 |
| Qingdao | 0.750 | 1.000 | 1.000 | 0.750 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.850 | 1 |
| Qiqihaer | 0.750 | 1.000 | 0.333 | 0.500 | 0.750 | 0.500 | 0.600 | 0.750 | 0.500 | 0.568 | 12 |
| Shanghai | 1.000 | 0.750 | 1.000 | 0.250 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.800 | 3 |
| Shangrao | 0.500 | 1.000 | 1.000 | 1.000 | 0.750 | 0.500 | 0.600 | 0.500 | 0.500 | 0.635 | 7 |
| Suzhou | 1.000 | 0.750 | 1.000 | 0.500 | 1.000 | 0.833 | 0.800 | 0.500 | 0.500 | 0.688 | 5 |
| Mean | 0.768 | 0.857 | 0.643 | 0.571 | 0.821 | 0.679 | 0.757 | 0.821 | 0.679 | ||
| Dispersion coefficient | 0.349 | 0.220 | 0.517 | 0.435 | 0.221 | 0.366 | 0.212 | 0.251 | 0.366 |