Research Article
Industrial Efficiency Algorithm Based on Spatio-Temporal-Data-Driven
Table 6
Average technological efficiency of high-tech industries in 31 provinces.
| Province | TE | Province | TE | Province | TE | Province | TE |
| Anhui | 0.817 | Guizhou | 0.818 | Hunan | 0.812 | Ningxia | 0.786 | Beijing | 0.985 | Hainan | 0.876 | Jilin | 0.835 | Qinghai | 0.733 | Chongqing | 0.912 | Hebei | 0.786 | Jiangsu | 0.951 | Sichuan | 0.851 | Fujian | 0.936 | Heilongjiang | 0.835 | Jiangxi | 0.792 | Shandong | 0.876 | Gansu | 0.932 | Henan | 0.752 | Liaoning | 0.931 | Shanghai | 0.966 | Guangdong | 0.755 | Hubei | 0.851 | Neimenggu | 0.872 | Shǎnxi | 0.795 | Guangxi | 0.785 | Shānxi | 0.787 | Tianjin | 0.975 | Xinjiang | 0.651 | Tibet | 0.668 | Yunnan | 0.815 | Zhejiang | 0.952 | | |
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Data source: calculated based on pattern II stochastic effects model of a function.
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