Research Article
Prediction of High-Tech Talents Flow Impact on Labor Income Share: Based on DEA and Fractional Hausdorff Grey Model
Table 3
Calculation results of the catching-up index of carbon emission reduction technology of 25 provinces.
| | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| Beijing | 0.9446 | 0.9457 | 0.9524 | 0.9658 | 0.8997 | 0.9548 | 0.9556 | 0.9556 | 0.9214 | 0.9569 | 0.9446 | Hebei | 1.0263 | 1.0266 | 1.0365 | 1.2359 | 1.4518 | 0.8332 | 1.3260 | 0.9366 | 1.1145 | 1.0602 | 1.0263 | Liaoning | 1.0724 | 1.0425 | 1.2363 | 0.8162 | 1.4020 | 0.8307 | 1.1872 | 0.9811 | 1.0120 | 1.1599 | 1.0724 | Shanghai | 1.1533 | 1.0561 | 1.0575 | 0.9455 | 1.8105 | 0.8391 | 0.7910 | 1.0219 | 1.0714 | 1.0344 | 1.1533 | Jiangsu | 1.0954 | 0.8462 | 1.1477 | 1.0494 | 1.2848 | 0.8284 | 1.1547 | 0.9651 | 1.0231 | 1.8397 | 1.0954 | Zhejiang | 3.9718 | 1.0373 | 1.2618 | 0.9638 | 1.6673 | 0.8959 | 0.9256 | 1.1459 | 1.1502 | 1.1526 | 3.9718 | Fujian | 1.3510 | 0.6361 | 0.8955 | 0.9148 | 1.0991 | 0.8334 | 2.8946 | 0.8428 | 0.9319 | 0.9271 | 1.3510 | Guangdong | 0.9489 | 0.9769 | 0.9536 | 1.1109 | 1.7218 | 0.8514 | 1.2096 | 0.9449 | 0.9354 | 1.0549 | 0.9489 | Hainan | 1.0866 | 0.9768 | 1.0040 | 0.8610 | 1.5238 | 0.8919 | 1.0119 | 0.9482 | 0.9572 | 0.9454 | 1.0866 | Shanxi | 1.1439 | 1.0853 | 1.0432 | 0.8373 | 1.7721 | 0.8303 | 1.2128 | 0.9287 | 0.9227 | 1.0225 | 1.1439 | Heilongjiang | 1.1570 | 1.0495 | 1.0294 | 0.8728 | 1.8425 | 0.7653 | 0.9361 | 0.9677 | 0.8112 | 0.7858 | 1.1570 | Anhui | 1.1848 | 0.9097 | 1.1665 | 0.7849 | 1.5672 | 0.7369 | 1.6225 | 0.9496 | 0.9881 | 0.9901 | 1.1848 | Jiangxi | 1.2237 | 0.9598 | 1.0798 | 1.0459 | 1.3491 | 0.7635 | 0.9284 | 0.9527 | 0.8512 | 0.9799 | 1.2237 | Henan | 0.9951 | 0.8830 | 1.0078 | 1.1832 | 1.9368 | 0.7182 | 0.6317 | 0.8950 | 0.8401 | 0.9646 | 0.9951 | Hubei | 0.9782 | 0.9519 | 0.9612 | 0.9858 | 1.1457 | 0.9099 | 0.9538 | 0.9148 | 0.9099 | 0.9929 | 0.9782 | Inner Mongolia | 1.0685 | 0.9725 | 1.1531 | 1.0356 | 1.4335 | 0.8619 | 0.9953 | 0.9309 | 0.7904 | 1.0830 | 1.0685 | Guangxi | 1.2016 | 1.2232 | 1.0483 | 0.7745 | 1.8389 | 0.8419 | 1.0350 | 0.9473 | 0.9803 | 0.7784 | 1.2016 | Sichuan | 1.0237 | 1.4018 | 0.9239 | 0.7602 | 1.8070 | 0.8177 | 0.6335 | 1.0754 | 0.8125 | 0.9031 | 1.0237 | Chongqing | 1.2734 | 1.0912 | 1.1330 | 0.9675 | 1.3034 | 0.9318 | 0.9681 | 0.8812 | 0.8137 | 0.8754 | 1.2734 | Guizhou | 0.9740 | 0.7245 | 1.1168 | 0.8621 | 1.4658 | 0.8872 | 0.7985 | 0.7707 | 0.7578 | 1.0482 | 0.9740 | Shaanxi | 1.3562 | 1.0042 | 0.9906 | 1.0737 | 1.4602 | 0.9488 | 0.8585 | 0.9689 | 0.9596 | 0.9696 | 1.3562 | Gansu | 1.0873 | 1.0969 | 0.8864 | 1.3545 | 1.3644 | 0.9326 | 0.9972 | 0.9231 | 0.9777 | 0.9258 | 1.0873 | Qinghai | 0.9594 | 1.1734 | 1.0877 | 0.7152 | 1.5505 | 1.0609 | 0.9969 | 0.9489 | 1.0723 | 1.2762 | 0.9594 | Ningxia | 1.0923 | 0.8763 | 1.0631 | 0.9953 | 2.5201 | 0.7490 | 0.9739 | 0.9827 | 1.0514 | 0.9085 | 1.0923 | Xinjiang | 1.1100 | 1.1129 | 1.4142 | 0.8259 | 1.7506 | 1.1823 | 1.2763 | 1.1507 | 1.0958 | 1.2594 | 1.1100 |
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Data source: calculation.
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