Research Article
Research on Dynamic Comprehensive Evaluation of Resource Allocation Efficiency of Technology Innovation in the Aerospace Industry
Table 9
Static and dynamic evaluation of resource allocation efficiency in the aerospace industry.
| Region | Static evaluation value | Dynamic evaluation value | Static rank | Dynamic rank |
| Beijing | 0.3490 | 0.0316 | 19 | 5 | Tianjin | 0.4936 | 0.0641 | 7 | 3 | Hebei | 0.3689 | −0.0288 | 16 | 11 | Liaoning | 0.6310 | −0.2944 | 2 | 17 | Heilongjiang | 0.4183 | −0.1370 | 11 | 15 | Shanghai | 0.3201 | 0.0032 | 20 | 7 | Jiangsu | 0.5459 | 0.0971 | 5 | 2 | Zhejiang | 0.4095 | −0.0362 | 12 | 14 | Anhui | 0.4266 | 0.0064 | 10 | 6 | Jiangxi | 0.3969 | −0.0054 | 13 | 8 | Shandong | 0.3755 | −0.0362 | 14 | 13 | Henan | 0.5596 | 0.0349 | 4 | 4 | Hubei | 0.3642 | −0.0350 | 17 | 12 | Hunan | 0.4912 | −0.2725 | 8 | 16 | Guangdong | 0.5167 | −0.4685 | 6 | 20 | Chongqing | 0.3636 | −0.0068 | 18 | 9 | Sichuan | 0.4749 | −0.3380 | 9 | 19 | Guizhou | 0.5899 | −0.3209 | 3 | 18 | Shaanxi | 0.6741 | 0.1515 | 1 | 1 | Gansu | 0.3732 | −0.0243 | 15 | 10 |
|
|