Research Article
Prediction of High-Tech Talents Flow Impact on Labor Income Share: Based on DEA and Fractional Hausdorff Grey Model
Table 2
Calculation results of Malmquist index of carbon emission reduction technology of 25 provinces.
| | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
| Beijing | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | Hebei | 0.2840 | 0.2645 | 0.2476 | 0.2314 | 0.2010 | 0.1666 | 0.1743 | 0.1431 | 0.1412 | 0.1233 | 0.1146 | Liaoning | 0.1852 | 0.1694 | 0.1581 | 0.1359 | 0.1453 | 0.1206 | 0.1237 | 0.1073 | 0.1035 | 0.0948 | 0.0842 | Shanghai | 0.2074 | 0.1822 | 0.1685 | 0.1564 | 0.1553 | 0.1119 | 0.1167 | 0.1240 | 0.1172 | 0.1043 | 0.0981 | Jiangsu | 0.3533 | 0.3200 | 0.3313 | 0.2954 | 0.2761 | 0.2512 | 0.2635 | 0.2318 | 0.2254 | 0.2053 | 0.1449 | Zhejiang | 0.8659 | 0.4150 | 0.3903 | 0.3333 | 0.3249 | 0.2601 | 0.2623 | 0.2577 | 0.2301 | 0.1976 | 0.1762 | Fujian | 1.0000 | 0.7574 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 0.4726 | 0.4919 | 0.4741 | 0.4711 | Guangdong | 0.6185 | 0.6034 | 0.5831 | 0.5742 | 0.5243 | 0.4164 | 0.4246 | 0.3648 | 0.3586 | 0.3417 | 0.3183 | Hainan | 0.7009 | 0.6355 | 0.6114 | 0.5829 | 0.6022 | 0.5157 | 0.4977 | 0.4676 | 0.4589 | 0.4322 | 0.4253 | Shanxi | 0.4249 | 0.3764 | 0.3442 | 0.3230 | 0.3394 | 0.2657 | 0.2784 | 0.2389 | 0.2369 | 0.2273 | 0.2151 | Heilongjiang | 0.7007 | 0.6160 | 0.5712 | 0.5357 | 0.5538 | 0.4150 | 0.4530 | 0.4425 | 0.4298 | 0.4397 | 0.4746 | Anhui | 0.5827 | 0.5054 | 0.5032 | 0.4438 | 0.4821 | 0.3972 | 0.4418 | 0.3278 | 0.3214 | 0.2980 | 0.2865 | Jiangxi | 0.4209 | 0.3613 | 0.3510 | 0.3221 | 0.3042 | 0.2540 | 0.2775 | 0.2722 | 0.2665 | 0.2662 | 0.2573 | Henan | 0.4129 | 0.3917 | 0.3970 | 0.3782 | 0.3332 | 0.2488 | 0.2803 | 0.3333 | 0.3367 | 0.3385 | 0.3298 | Hubei | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | Inner Mongolia | 0.5355 | 0.4898 | 0.4714 | 0.4176 | 0.3963 | 0.3210 | 0.3302 | 0.3128 | 0.3098 | 0.3211 | 0.2952 | Guangxi | 0.7791 | 0.6714 | 0.5717 | 0.5318 | 0.5836 | 0.4174 | 0.4343 | 0.4035 | 0.3961 | 0.3687 | 0.3998 | Sichuan | 0.5419 | 0.5057 | 0.4022 | 0.3986 | 0.4415 | 0.3321 | 0.3507 | 0.4164 | 0.3837 | 0.3922 | 0.3949 | Chongqing | 0.5957 | 0.4973 | 0.4516 | 0.4041 | 0.3968 | 0.3557 | 0.3518 | 0.3379 | 0.3440 | 0.3513 | 0.3593 | Guizhou | 0.1620 | 0.1551 | 0.1716 | 0.1547 | 0.1609 | 0.1289 | 0.1306 | 0.1382 | 0.1504 | 0.1592 | 0.1488 | Shaanxi | 0.4854 | 0.3937 | 0.3700 | 0.3541 | 0.3300 | 0.2656 | 0.2603 | 0.2655 | 0.2577 | 0.2424 | 0.2356 | Gansu | 0.3034 | 0.2744 | 0.2468 | 0.2496 | 0.2071 | 0.1720 | 0.1700 | 0.1609 | 0.1601 | 0.1492 | 0.1483 | Qinghai | 0.3096 | 0.2985 | 0.2595 | 0.2370 | 0.2707 | 0.2108 | 0.1954 | 0.1850 | 0.1813 | 0.1613 | 0.1367 | Ningxia | 0.1453 | 0.1314 | 0.1322 | 0.1221 | 0.1182 | 0.0722 | 0.0796 | 0.0763 | 0.0735 | 0.0660 | 0.0663 | Xinjiang | 0.3158 | 0.2832 | 0.2528 | 0.2025 | 0.2151 | 0.1577 | 0.1385 | 0.1159 | 0.1032 | 0.0908 | 0.0775 |
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Data source: calculation.
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