Research Article
Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data
Table 2
Comparative analysis of average efficiency value of different regions in 2002–2013.
| Regions | Overall efficiency | Knowledge innovation stage | Commercialization stage of scientific and technological achievements | Technical efficiency | Pure technical efficiency | Scale efficiency | Technical efficiency | Pure technical efficiency | Scale efficiency | Technical efficiency | Pure technical efficiency | Scale efficiency |
| Anhui | 0.141 | 0.239 | 0.508 | 0.155 | 0.233 | 0.556 | 0.327 | 0.592 | 0.597 | Beijing | 0.778 | 0.822 | 0.944 | 0.677 | 0.762 | 0.876 | 0.895 | 0.899 | 0.992 | Chongqing | 0.346 | 0.417 | 0.664 | 0.309 | 0.377 | 0.677 | 0.527 | 0.683 | 0.710 | Fujian | 0.451 | 0.516 | 0.882 | 0.395 | 0.486 | 0.824 | 0.862 | 0.878 | 0.977 | Gansu | 0.081 | 0.632 | 0.128 | 0.081 | 0.647 | 0.128 | 0.208 | 0.929 | 0.249 | Guangdong | 0.644 | 1.000 | 0.644 | 0.588 | 1.000 | 0.588 | 0.735 | 1.000 | 0.735 | Guangxi | 0.162 | 0.618 | 0.225 | 0.146 | 0.612 | 0.198 | 0.241 | 0.814 | 0.279 | Guizhou | 0.077 | 0.267 | 0.295 | 0.065 | 0.259 | 0.349 | 0.141 | 0.337 | 0.392 | Hebei | 0.096 | 0.179 | 0.485 | 0.091 | 0.154 | 0.506 | 0.205 | 0.425 | 0.529 | Henan | 0.201 | 0.272 | 0.636 | 0.191 | 0.277 | 0.624 | 0.327 | 0.440 | 0.676 | Heilongjiang | 0.041 | 0.127 | 0.296 | 0.033 | 0.087 | 0.355 | 0.129 | 0.419 | 0.345 | Hubei | 0.143 | 0.191 | 0.674 | 0.128 | 0.159 | 0.704 | 0.256 | 0.335 | 0.729 | Hunan | 0.173 | 0.273 | 0.563 | 0.172 | 0.248 | 0.595 | 0.283 | 0.481 | 0.612 | Jilin | 0.129 | 0.338 | 0.329 | 0.133 | 0.323 | 0.376 | 0.204 | 0.492 | 0.381 | Jiangsu | 0.527 | 0.894 | 0.604 | 0.418 | 0.804 | 0.563 | 0.934 | 1.000 | 0.934 | Jiangxi | 0.108 | 0.174 | 0.553 | 0.108 | 0.162 | 0.583 | 0.295 | 0.482 | 0.605 | Liaoning | 0.197 | 0.244 | 0.793 | 0.154 | 0.175 | 0.862 | 0.469 | 0.541 | 0.855 | Ningxia | 0.114 | 0.990 | 0.114 | 0.115 | 0.988 | 0.115 | 0.318 | 1.000 | 0.318 | Shangdong | 0.261 | 0.294 | 0.902 | 0.239 | 0.285 | 0.834 | 0.495 | 0.528 | 0.952 | Shanxi | 0.389 | 0.991 | 0.394 | 0.389 | 1.000 | 0.389 | 0.465 | 0.991 | 0.470 | Shaanxi | 0.058 | 0.082 | 0.685 | 0.057 | 0.067 | 0.762 | 0.201 | 0.248 | 0.794 | Shanghai | 0.716 | 0.907 | 0.791 | 0.547 | 0.815 | 0.689 | 0.897 | 1.000 | 0.897 | Sichuan | 0.176 | 0.208 | 0.847 | 0.155 | 0.195 | 0.818 | 0.442 | 0.465 | 0.948 | Tianjin | 0.878 | 0.912 | 0.963 | 0.757 | 0.825 | 0.912 | 1.000 | 1.000 | 1.000 | Yunnan | 0.165 | 0.895 | 0.186 | 0.176 | 0.889 | 0.197 | 0.156 | 0.877 | 0.181 | Zhejiang | 0.168 | 0.194 | 0.868 | 0.150 | 0.183 | 0.816 | 0.298 | 0.308 | 0.972 | Average | 0.278 | 0.488 | 0.576 | 0.247 | 0.462 | 0.573 | 0.435 | 0.660 | 0.659 |
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