Full
Outline
To assess the current level of medical-service resistance across prefectures in Sichuan and to provide evidence for building a highly resilient healthcare system.
Using panel data for 21 prefectures from 2013 to 2022, an evaluation index system for medical service resistance in Sichuan Province was constructed. CRITIC-Entropy Weight Method and TOPSIS were applied to calculate resistance scores, while kernel density, Moran's I and Markov-chain models were employed to analyze spatiotemporal evolution and state-transition probabilities.
Resistance rose from 0.431 to 0.477, with 90.48% of prefectures recording positive growth. The resistance level shifted from medium to high, and the high level was the dominant category. LISA maps revealed “high-low”, “low-high” and “low-low” clusters. Transition probabilities showed a gradient effect and a pronounced lock-in, making leapfrog upgrades difficult.
Overall resistance in Sichuan is improving, but significant regional disparities persist, local spatial clustering is evident, and a strong lock-in effect governs state transitions.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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