Research Article
How to Evaluate the Coordination of Green Economy, Education Development, and Technological Innovation? Take China as Example
Table 3
Comprehensive level of green economy, educational development, and technological innovation.
| Regions | Provinces and cities | Green economy | Provinces and cities | Education | Provinces and cities | Technological innovation | 2005 | 2009 | 2013 | 2016 | 2005 | 2009 | 2013 | 2016 | 2005 | 2009 | 2013 | 2016 |
| Eastern region | Beijing | 0.297 | 0.477 | 0.561 | 0.838 | Beijing | 0.321 | 0.437 | 0.510 | 0.614 | Beijing | 0.202 | 0.417 | 0.773 | 0.928 | Tianjin | 0.197 | 0.411 | 0.591 | 0.837 | Tianjin | 0.227 | 0.487 | 0.667 | 0.707 | Tianjin | 0.186 | 0.309 | 0.745 | 0.921 | Hebei | 0.138 | 0.383 | 0.601 | 0.846 | Hebei | 0.185 | 0.433 | 0.612 | 0.770 | Hebei | 0.098 | 0.320 | 0.532 | 0.847 | Shandong | 0.184 | 0.384 | 0.575 | 0.827 | Shandong | 0.142 | 0.385 | 0.577 | 0.810 | Shandong | 0.119 | 0.366 | 0.671 | 0.910 | Shanghai | 0.167 | 0.438 | 0.519 | 0.789 | Shanghai | 0.164 | 0.380 | 0.600 | 0.815 | Shanghai | 0.241 | 0.451 | 0.704 | 0.896 | Jiangsu | 0.170 | 0.407 | 0.587 | 0.672 | Jiangsu | 0.157 | 0.388 | 0.649 | 0.843 | Jiangsu | 0.111 | 0.323 | 0.796 | 0.984 | Zhejiang | 0.156 | 0.453 | 0.657 | 0.859 | Zhejiang | 0.204 | 0.357 | 0.519 | 0.771 | Zhejiang | 0.143 | 0.382 | 0.647 | 0.908 | Fujian | 0.116 | 0.404 | 0.592 | 0.843 | Fujian | 0.203 | 0.361 | 0.577 | 0.810 | Fujian | 0.129 | 0.276 | 0.677 | 0.901 | Guangdong | 0.174 | 0.401 | 0.576 | 0.843 | Guangdong | 0.325 | 0.506 | 0.534 | 0.697 | Guangdong | 0.102 | 0.291 | 0.692 | 0.991 | Hainan | 0.126 | 0.333 | 0.605 | 0.781 | Hainan | 0.117 | 0.402 | 0.656 | 0.827 | Hainan | 0.059 | 0.395 | 0.677 | 0.734 | Average | 0.173 | 0.409 | 0.586 | 0.813 | Average | 0.205 | 0.413 | 0.590 | 0.766 | Average | 0.139 | 0.353 | 0.691 | 0.902 |
| Northeastern region | Liaoning | 0.183 | 0.406 | 0.639 | 0.793 | Liaoning | 0.159 | 0.444 | 0.630 | 0.828 | Liaoning | 0.184 | 0.423 | 0.660 | 0.689 | Jilin | 0.175 | 0.376 | 0.563 | 0.890 | Jilin | 0.088 | 0.350 | 0.709 | 0.880 | Jilin | 0.147 | 0.410 | 0.441 | 0.674 | Heilongjiang | 0.179 | 0.373 | 0.592 | 0.821 | Heilongjiang | 0.150 | 0.451 | 0.650 | 0.773 | Heilongjiang | 0.220 | 0.464 | 0.613 | 0.668 | Average | 0.179 | 0.385 | 0.598 | 0.835 | Average | 0.132 | 0.415 | 0.663 | 0.827 | Average | 0.184 | 0.432 | 0.572 | 0.677 |
| Central region | Shanxi | 0.172 | 0.398 | 0.505 | 0.859 | Shanxi | 0.127 | 0.432 | 0.675 | 0.872 | Shanxi | 0.103 | 0.345 | 0.686 | 0.824 | Henan | 0.192 | 0.367 | 0.578 | 0.835 | Henan | 0.150 | 0.423 | 0.665 | 0.834 | Henan | 0.079 | 0.266 | 0.587 | 0.875 | Hubei | 0.141 | 0.386 | 0.569 | 0.842 | Hubei | 0.114 | 0.409 | 0.729 | 0.846 | Hubei | 0.092 | 0.352 | 0.608 | 0.866 | Hunan | 0.126 | 0.384 | 0.562 | 0.866 | Hunan | 0.102 | 0.388 | 0.652 | 0.830 | Hunan | 0.068 | 0.330 | 0.643 | 0.868 | Jiangxi | 0.133 | 0.312 | 0.521 | 0.875 | Jiangxi | 0.203 | 0.463 | 0.649 | 0.744 | Jiangxi | 0.108 | 0.340 | 0.554 | 0.881 | Anhui | 0.160 | 0.391 | 0.554 | 0.839 | Anhui | 0.161 | 0.363 | 0.564 | 0.817 | Anhui | 0.074 | 0.300 | 0.604 | 0.934 | Average | 0.157 | 0.375 | 0.555 | 0.850 | Average | 0.141 | 0.413 | 0.657 | 0.824 | Average | 0.101 | 0.338 | 0.608 | 0.846 |
| Central region | Chongqing | 0.134 | 0.386 | 0.593 | 0.888 | Chongqing | 0.135 | 0.389 | 0.643 | 0.846 | Chongqing | 0.070 | 0.202 | 0.514 | 0.903 | Sichuan | 0.127 | 0.364 | 0.615 | 0.840 | Sichuan | 0.171 | 0.326 | 0.587 | 0.773 | Sichuan | 0.109 | 0.347 | 0.639 | 0.858 | Guizhou | 0.141 | 0.343 | 0.461 | 0.836 | Guizhou | 0.119 | 0.373 | 0.649 | 0.845 | Guizhou | 0.107 | 0.378 | 0.503 | 0.749 | Yunnan | 0.114 | 0.314 | 0.473 | 0.772 | Yunnan | 0.079 | 0.340 | 0.632 | 0.880 | Yunnan | 0.083 | 0.308 | 0.470 | 0.644 | Guangxi | 0.184 | 0.354 | 0.591 | 0.649 | Guangxi | 0.072 | 0.307 | 0.614 | 0.897 | Guangxi | 0.109 | 0.319 | 0.608 | 0.834 | Neimenggu | 0.162 | 0.406 | 0.659 | 0.764 | Neimenggu | 0.151 | 0.350 | 0.598 | 0.849 | Neimenggu | 0.103 | 0.303 | 0.438 | 0.719 | Shanxi | 0.194 | 0.377 | 0.622 | 0.737 | Shanxi | 0.124 | 0.400 | 0.615 | 0.827 | Shanxi | 0.119 | 0.305 | 0.494 | 0.793 | Gansu | 0.152 | 0.419 | 0.629 | 0.700 | Gansu | 0.087 | 0.349 | 0.618 | 0.886 | Gansu | 0.136 | 0.380 | 0.579 | 0.805 | Qinghai | 0.152 | 0.390 | 0.573 | 0.807 | Qinghai | 0.159 | 0.359 | 0.582 | 0.835 | Qinghai | 0.082 | 0.382 | 0.419 | 0.688 | Ningxia | 0.140 | 0.325 | 0.544 | 0.859 | Ningxia | 0.143 | 0.433 | 0.635 | 0.777 | Ningxia | 0.114 | 0.342 | 0.473 | 0.921 | Xinjiang | 0.177 | 0.364 | 0.667 | 0.838 | Xinjiang | 0.162 | 0.433 | 0.633 | 0.780 | Xinjiang | 0.125 | 0.348 | 0.378 | 0.686 | Average | 0.152 | 0.367 | 0.584 | 0.790 | Average | 0.127 | 0.369 | 0.619 | 0.836 | Average | 0.105 | 0.329 | 0.501 | 0.782 |
| National | The national average | 0.162 | 0.384 | 0.579 | 0.816 | The national average | 0.156 | 0.398 | 0.622 | 0.810 | The national average | 0.122 | 0.348 | 0.594 | 0.827 |
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