Research Article
Dynamic Measurement Analysis of Urban Innovation Ability and Ecological Efficiency in China
Table 6
Ecological efficiency scores of 30 provinces and cities in China.
| Year | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| Beijing | 0.916 | 0.920 | 0.899 | 1.000 | 0.926 | 1.000 | 0.930 | 0.928 | 0.949 | 0.932 | 0.937 | 1.000 | Tianjin | 0.763 | 0.744 | 0.714 | 0.685 | 0.672 | 0.665 | 0.672 | 0.667 | 0.686 | 0.698 | 0.690 | 0.529 | Hebei | 0.650 | 0.622 | 0.625 | 0.621 | 0.590 | 0.566 | 0.554 | 0.524 | 0.525 | 0.582 | 0.550 | 0.499 | Shanxi | 0.516 | 0.458 | 0.449 | 0.454 | 0.404 | 0.333 | 0.305 | 0.269 | 0.261 | 0.308 | 0.338 | 0.278 | Inner Mongolia | 0.577 | 0.579 | 0.573 | 0.569 | 0.549 | 0.509 | 0.493 | 0.456 | 0.429 | 0.355 | 0.363 | 0.307 | Liaoning | 0.652 | 0.635 | 0.642 | 0.635 | 0.627 | 0.609 | 0.607 | 0.614 | 0.515 | 0.544 | 0.548 | 0.509 | Jilin | 0.617 | 0.595 | 0.596 | 0.601 | 0.602 | 0.579 | 0.578 | 0.615 | 0.610 | 0.611 | 0.592 | 0.442 | Heilongjiang | 0.627 | 0.555 | 0.544 | 0.551 | 0.520 | 0.507 | 0.506 | 0.491 | 0.481 | 0.478 | 0.468 | 0.362 | Shanghai | 0.838 | 0.818 | 0.812 | 0.769 | 0.750 | 0.727 | 0.733 | 0.727 | 0.735 | 0.728 | 0.725 | 0.744 | Jiangsu | 1.000 | 0.964 | 0.945 | 1.000 | 0.884 | 0.707 | 0.703 | 0.692 | 0.694 | 0.702 | 0.707 | 0.714 | Zhejiang | 0.856 | 0.819 | 0.820 | 0.817 | 0.797 | 0.781 | 0.761 | 0.746 | 0.752 | 0.746 | 0.756 | 0.782 | Anhui | 0.701 | 0.663 | 0.653 | 0.651 | 0.620 | 0.569 | 0.540 | 0.512 | 0.512 | 0.523 | 0.484 | 0.551 | Fujian | 0.802 | 0.760 | 0.751 | 0.715 | 0.691 | 0.676 | 0.659 | 0.650 | 0.653 | 0.649 | 0.631 | 0.678 | Jiangxi | 0.660 | 0.642 | 0.634 | 0.629 | 0.596 | 0.560 | 0.526 | 0.484 | 0.466 | 0.465 | 0.430 | 0.430 | Shandong | 0.739 | 0.713 | 0.697 | 0.683 | 0.663 | 0.653 | 0.640 | 0.611 | 0.609 | 0.608 | 0.617 | 0.571 | Henan | 0.691 | 0.643 | 0.627 | 0.593 | 0.583 | 0.551 | 0.522 | 0.512 | 0.513 | 0.535 | 0.551 | 0.599 | Hubei | 0.697 | 0.672 | 0.654 | 0.622 | 0.607 | 0.625 | 0.618 | 0.625 | 0.628 | 0.638 | 0.636 | 0.652 | Hunan | 0.688 | 0.659 | 0.639 | 0.633 | 0.619 | 0.614 | 0.609 | 0.606 | 0.602 | 0.600 | 0.582 | 0.569 | Guangdong | 1.000 | 0.972 | 0.926 | 0.887 | 0.862 | 0.802 | 0.779 | 0.757 | 0.759 | 0.757 | 0.750 | 0.757 | Guangxi | 0.752 | 0.696 | 0.681 | 0.674 | 0.650 | 0.633 | 0.624 | 0.622 | 0.614 | 0.630 | 0.581 | 0.545 | Hainan | 0.851 | 0.797 | 0.770 | 0.741 | 0.708 | 0.678 | 0.666 | 0.647 | 0.648 | 0.642 | 0.642 | 0.650 | Chongqing | 0.656 | 0.669 | 0.635 | 0.590 | 0.572 | 0.596 | 0.536 | 0.566 | 0.564 | 0.550 | 0.550 | 0.590 | Sichuan | 0.715 | 0.674 | 0.677 | 0.675 | 0.656 | 0.603 | 0.603 | 0.633 | 0.633 | 0.642 | 0.645 | 0.656 | Guizhou | 0.466 | 0.434 | 0.398 | 0.359 | 0.315 | 0.281 | 0.288 | 0.292 | 0.280 | 0.288 | 0.296 | 0.298 | Yunnan | 0.575 | 0.502 | 0.452 | 0.445 | 0.394 | 0.361 | 0.375 | 0.372 | 0.365 | 0.367 | 0.345 | 0.505 | Shaanxi | 0.622 | 0.600 | 0.585 | 0.573 | 0.539 | 0.485 | 0.454 | 0.396 | 0.379 | 0.398 | 0.428 | 0.401 | Gansu | 0.578 | 0.534 | 0.513 | 0.484 | 0.439 | 0.336 | 0.300 | 0.225 | 0.213 | 0.241 | 0.262 | 0.241 | Qinghai | 0.509 | 0.497 | 0.512 | 0.492 | 0.419 | 0.375 | 0.382 | 0.368 | 0.327 | 0.299 | 0.319 | 0.271 | Ningxia | 0.356 | 0.379 | 0.393 | 0.403 | 0.350 | 0.300 | 0.271 | 0.242 | 0.261 | 0.246 | 0.262 | 0.206 | Xinjiang | 0.558 | 0.448 | 0.475 | 0.440 | 0.387 | 0.314 | 0.278 | 0.189 | 0.120 | 0.112 | 0.204 | 0.202 |
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