Research Article
Efficiency Evaluation of Green Technology Innovation of China’s Industrial Enterprises Based on SBM Model and EBM Model
Table 4
Spatial analysis for green innovation efficiency of China’s industrial enterprises (EBM model).
| Region | DMU (province) | The first stage efficiency | The second stage efficiency | Total efficiency |
| Eastern region | Guangdong | 0.923 | 1.791 | 1.286 | Beijing | 0.881 | 1.323 | 1.080 | Zhejiang | 0.995 | 1.128 | 1.059 | Hainan | 1.000 | 1.000 | 1.000 | Jiangsu | 0.837 | 1.086 | 0.954 | Shanghai | 0.827 | 1.000 | 0.909 | Tianjin | 0.678 | 1.000 | 0.823 | Fujian | 0.546 | 0.961 | 0.724 | Shandong | 0.491 | 1.000 | 0.701 | Liaoning | 0.464 | 0.819 | 0.616 | Hebei | 0.356 | 0.961 | 0.585 | Eastern region | 0.690 | 1.074 | 0.861 |
| Central region | Jilin | 0.420 | 1.027 | 0.657 | Hunan | 0.525 | 0.819 | 0.656 | Hubei | 0.473 | 0.893 | 0.650 | Henan | 0.408 | 1.000 | 0.639 | Anhui | 0.463 | 0.725 | 0.580 | Jiangxi | 0.367 | 0.847 | 0.557 | Heilongjiang | 0.347 | 0.843 | 0.541 | Shanxi | 0.239 | 0.640 | 0.391 | Central region | 0.396 | 0.841 | 0.577 |
| Western region | Qinghai | 1.156 | 1.499 | 1.316 | Xinjiang | 0.711 | 0.999 | 0.843 | Chongqing | 0.742 | 0.737 | 0.740 | Sichuan | 0.570 | 0.807 | 0.678 | Ningxia | 0.603 | 0.683 | 0.642 | Guangxi | 0.513 | 0.742 | 0.617 | Shaanxi | 0.378 | 0.893 | 0.581 | Yunnan | 0.418 | 0.738 | 0.556 | Inner Mongolia | 0.257 | 1.000 | 0.507 | Gansu | 0.313 | 0.698 | 0.467 | Guizhou | 0.341 | 0.632 | 0.464 | Western region | 0.498 | 0.831 | 0.643 |
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