Research Article
Evaluation Index System and Evaluation Method of China’s Regional Potential for Electrical Energy Substitution
Table 8
Relative close degree of each evaluated object and ideal point based on the distance of connection vectors.
| Evaluation object | | | | Rank |
| Beijing | 0.8185 | 0.6789 | 0.4534 | 18 | Shanghai | 0.8887 | 0.7346 | 0.4525 | 19 | Tianjin | 0.9511 | 0.7358 | 0.4362 | 21 | Chongqing | 0.9363 | 0.7473 | 0.4439 | 20 | Sichuan | 0.6543 | 0.9212 | 0.5847 | 4 | Hebei | 0.5638 | 0.8804 | 0.6096 | 3 | Shanxi | 0.6937 | 0.8633 | 0.5545 | 6 | Shandong | 0.3324 | 0.8702 | 0.7236 | 1 | Jiangsu | 0.6177 | 0.7978 | 0.5636 | 5 | Zhejiang | 0.7659 | 0.8069 | 0.5130 | 10 | Anhui | 0.8587 | 0.7895 | 0.4790 | 14 | Fujian | 0.8837 | 0.7561 | 0.4611 | 16 | Hubei | 0.8276 | 0.8119 | 0.4952 | 13 | Hunan | 0.8134 | 0.8099 | 0.4989 | 12 | Henan | 0.4955 | 1.0342 | 0.6761 | 2 | Jiangxi | 0.8769 | 0.7427 | 0.4585 | 17 | Liaoning | 0.7537 | 0.8194 | 0.5209 | 9 | Shaanxi | 0.7910 | 0.8808 | 0.5269 | 7 | Gansu | 0.9698 | 0.6777 | 0.4113 | 23 | Ningxia | 1.0660 | 0.4821 | 0.3114 | 24 | Xinjiang | 0.8070 | 0.7239 | 0.4729 | 15 | Heilongjiang | 0.8053 | 0.8296 | 0.5074 | 11 | Inner Mongolia | 0.7406 | 0.8101 | 0.5224 | 8 | Qinghai | 1.0844 | 0.2240 | 0.1712 | 25 | Jilin | 0.9447 | 0.6647 | 0.4130 | 22 |
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