Research Article
Evaluation of Provincial Economic Resilience in China Based on the TOPSIS-XGBoost-SHAP Model
Table 2
Values of economic resilience of China in 2007, 2010, 2016, and 2021.
| | Provinces | 2007 | 2010 | 2016 | 2021 | | Rating | Grade | Rating | Grade | Rating | Grade | Rating | Grade |
| | Beijing | 0.12 | I | 0.18 | I | 0.35 | II | 0.52 | III | | Tianjin | 0.10 | I | 0.11 | I | 0.15 | I | 0.21 | II | | Hebei | 0.11 | I | 0.13 | I | 0.16 | I | 0.19 | I | | Liaoning | 0.11 | I | 0.12 | I | 0.14 | I | 0.18 | I | | Shanghai | 0.15 | I | 0.19 | I | 0.28 | II | 0.39 | II | | Jiangsu | 0.16 | I | 0.23 | II | 0.39 | II | 0.57 | III | | Zhejiang | 0.12 | I | 0.16 | I | 0.27 | II | 0.44 | III | | Fujian | 0.11 | I | 0.12 | I | 0.18 | I | 0.25 | II | | Shandong | 0.13 | I | 0.19 | I | 0.29 | II | 0.42 | III | | Guangdong | 0.21 | II | 0.33 | II | 0.45 | III | 0.73 | IV | | Hainan | 0.10 | I | 0.09 | I | 0.09 | I | 0.30 | II | | Shanxi | 0.09 | I | 0.10 | I | 0.11 | I | 0.13 | I | | Jilin | 0.10 | I | 0.10 | I | 0.11 | I | 0.11 | I | | Heilongjiang | 0.11 | I | 0.11 | I | 0.12 | I | 0.11 | I | | Anhui | 0.11 | I | 0.11 | I | 0.17 | I | 0.26 | II | | Jiangxi | 0.09 | I | 0.10 | I | 0.13 | I | 0.18 | I | | Henan | 0.10 | I | 0.13 | I | 0.19 | I | 0.26 | II | | Hubei | 0.11 | I | 0.13 | I | 0.18 | I | 0.27 | II | | Hunan | 0.11 | I | 0.12 | I | 0.17 | I | 0.22 | II | | Inner Mongolia | 0.10 | I | 0.11 | I | 0.13 | I | 0.15 | I | | Guangxi | 0.10 | I | 0.11 | I | 0.12 | I | 0.15 | I | | Chongqing | 0.10 | I | 0.11 | I | 0.14 | I | 0.18 | I | | Sichuan | 0.11 | I | 0.12 | I | 0.18 | I | 0.28 | II | | Guizhou | 0.10 | I | 0.10 | I | 0.11 | I | 0.16 | I | | Yunnan | 0.11 | I | 0.12 | I | 0.12 | I | 0.16 | I | | Shaanxi | 0.10 | I | 0.11 | I | 0.14 | I | 0.22 | II | | Gansu | 0.09 | I | 0.09 | I | 0.09 | I | 0.12 | I | | Qinghai | 0.10 | I | 0.11 | I | 0.10 | I | 0.09 | I | | Ningxia | 0.12 | I | 0.12 | I | 0.12 | I | 0.13 | I | | Xinjiang | 0.11 | I | 0.10 | I | 0.11 | I | 0.12 | I |
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