Research Article
Innovation Efficiency Evaluation of China’s High-Tech Industry considering Subindustry with a Parallel Slack-Based Measure Approach
Table 4
Mean innovation efficiency results in regions under model (2).
| Region | | | | | |
| Beijing | 0.962 | 1.000 | 0.931 | 1.000 | 1.000 | Tianjin | 0.668 | 1.000 | 0.498 | 0.731 | 0.916 | Hebei | 0.272 | 0.519 | 0.219 | 0.144 | 0.336 | Liaoning | 0.393 | 0.401 | 0.415 | 0.229 | 0.591 | Shanghai | 0.593 | 0.852 | 0.586 | 0.286 | 0.708 | Jiangsu | 0.587 | 0.834 | 0.357 | 1.000 | 0.684 | Zhejiang | 0.599 | 0.870 | 0.557 | 0.259 | 1.000 | Anhui | 0.582 | 0.903 | 0.475 | 0.578 | 0.569 | Fujian | 0.417 | 0.536 | 0.382 | 0.386 | 0.450 | Jiangxi | 0.360 | 0.646 | 0.259 | 0.394 | 0.307 | Shandong | 0.500 | 0.948 | 0.294 | 0.646 | 0.544 | Henan | 0.695 | 0.353 | 1.000 | 0.219 | 0.439 | Hubei | 0.397 | 0.684 | 0.355 | 0.161 | 0.534 | Hunan | 0.555 | 1.000 | 0.434 | 0.262 | 1.000 | Guangdong | 0.897 | 0.733 | 1.000 | 0.702 | 1.000 | Sichuan | 0.691 | 0.796 | 0.625 | 0.779 | 0.707 | Shaanxi | 0.484 | 0.602 | 0.393 | 0.668 | 0.433 | East | 0.589 | 0.769 | 0.524 | 0.538 | 0.723 | Center | 0.518 | 0.717 | 0.504 | 0.322 | 0.570 | West | 0.588 | 0.699 | 0.509 | 0.723 | 0.570 |
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