Research Article
Measuring Green Innovation Efficiency for China’s High-Tech Manufacturing Industry: A Network DEA Approach
Table 3
Conventional innovation efficiency and its decompositions from 2006 to 2015.
| Area | Conventional innovation efficiency | R&D efficiency | Achievement transformation efficiency |
| Beijing | 1.000 | 1.000 | 1.000 | Tianjin | 0.870 | 0.748 | 0.991 | Hebei | 0.276 | 0.200 | 0.351 | Shanxi | 0.444 | 0.608 | 0.280 | Inner Mongolia | 0.987 | 0.979 | 0.995 | Liaoning | 0.390 | 0.287 | 0.493 | Jilin | 0.515 | 0.452 | 0.578 | Heilongjiang | 0.208 | 0.114 | 0.301 | Shanghai | 0.915 | 0.830 | 1.000 | Jiangsu | 0.958 | 0.915 | 1.000 | Zhejiang | 0.507 | 0.244 | 0.770 | Anhui | 0.336 | 0.232 | 0.440 | Fujian | 0.695 | 0.489 | 0.900 | Jiangxi | 0.284 | 0.233 | 0.334 | Shandong | 0.607 | 0.489 | 0.726 | Henan | 0.411 | 0.412 | 0.409 | Hubei | 0.311 | 0.203 | 0.419 | Hunan | 0.356 | 0.304 | 0.408 | Guangdong | 1.000 | 1.000 | 1.000 | Guangxi | 0.479 | 0.541 | 0.416 | Hainan | 0.945 | 0.922 | 0.969 | Chongqing | 0.605 | 0.517 | 0.694 | Sichuan | 0.415 | 0.375 | 0.456 | Guizhou | 0.284 | 0.161 | 0.407 | Yunnan | 0.526 | 0.448 | 0.603 | Shaanxi | 0.182 | 0.095 | 0.268 | Gansu | 0.456 | 0.447 | 0.465 | Ningxia | 0.886 | 0.772 | 1.000 | Eastern region | 0.742 | 0.648 | 0.836 | Middle region | 0.358 | 0.320 | 0.396 | Western region | 0.535 | 0.482 | 0.589 | Overall | 0.566 | 0.501 | 0.631 |
|
|