Research Article
The Effect of Innovation Investment on Environmental Total Factor Productivity
Table 2
Environmental total factor productivity (ML).
| | Region | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| | Beijing | 1.0702 | 1.1164 | 1.0840 | 1.1122 | 1.3238 | 1.0935 | 1.7648 | 1.2284 | | Tianjin | 1.0560 | 1.0563 | 1.0871 | 1.0333 | 1.1783 | 1.1284 | 1.1482 | 1.0413 | | Hebei | 1.0078 | 1.0109 | 1.0346 | 1.0616 | 1.0793 | 1.2783 | 1.0302 | 1.0290 | | Shanxi | 1.0163 | 0.9810 | 1.0272 | 1.0002 | 1.0418 | 1.1998 | 1.1086 | 1.0200 | | Mongolia | 1.0418 | 0.9926 | 1.0757 | 1.0764 | 1.0770 | 1.1303 | 1.1295 | 1.1108 | | Liaoning | 1.0359 | 0.9825 | 1.0619 | 1.0771 | 1.1966 | 1.1432 | 1.1174 | 1.0598 | | Jilin | 1.0500 | 0.9615 | 1.0629 | 1.0265 | 1.0934 | 1.0789 | 1.0894 | 1.0535 | | Heilongjiang | 1.0353 | 1.0472 | 1.0512 | 1.0009 | 1.0387 | 1.0504 | 1.0450 | 1.0655 | | Shanghai | 1.0135 | 1.0068 | 1.0566 | 1.0462 | 1.1885 | 1.2529 | 1.2830 | 0.9791 | | Jiangsu | 1.0442 | 1.0640 | 1.0369 | 1.1240 | 1.1362 | 1.1226 | 1.1358 | 1.1351 | | Zhejiang | 1.0420 | 1.0786 | 1.0521 | 1.1039 | 1.1669 | 1.0916 | 1.1694 | 1.0954 | | Anhui | 1.0536 | 0.9844 | 1.0833 | 1.0696 | 1.1281 | 1.1294 | 1.0111 | 1.0974 | | Fujian | 0.9842 | 1.0509 | 1.0487 | 1.0451 | 1.1442 | 1.0256 | 1.0394 | 1.0386 | | Jiangxi | 1.0420 | 1.0009 | 1.0527 | 1.0342 | 1.1226 | 1.1094 | 1.2026 | 1.0532 | | Shandong | 1.0449 | 0.9891 | 1.0821 | 1.0972 | 1.0715 | 1.0866 | 1.1049 | 1.2834 | | Henan | 1.0374 | 0.9491 | 1.0579 | 1.0526 | 1.1307 | 1.1253 | 1.2064 | 1.0831 | | Hubei | 1.0842 | 1.0090 | 1.0942 | 1.0766 | 1.1209 | 1.1392 | 1.2127 | 1.1006 | | Hunan | 1.0887 | 1.0575 | 1.0948 | 1.1192 | 1.1168 | 1.1120 | 1.1352 | 1.0567 | | Guangdong | 1.0329 | 0.8669 | 1.0838 | 1.1070 | 1.1222 | 1.0930 | 1.1492 | 1.0475 | | Guangxi | 1.0325 | 0.9973 | 1.0882 | 1.0874 | 1.1209 | 1.0823 | 1.1728 | 1.0504 | | Hainan | 1.0477 | 1.0493 | 1.0586 | 1.0729 | 1.1749 | 1.1039 | 1.1136 | 1.0611 | | Chongqing | 1.0740 | 1.0511 | 1.0790 | 1.0946 | 1.1353 | 1.1239 | 1.1393 | 1.1183 | | Sichuan | 1.0729 | 0.9383 | 1.1157 | 1.0682 | 1.1091 | 1.1537 | 1.2499 | 1.0803 | | Guizhou | 1.0370 | 1.0537 | 1.1093 | 1.1109 | 1.0799 | 1.1140 | 1.1372 | 1.0459 | | Yunnan | 1.0445 | 1.0559 | 1.1035 | 1.0547 | 1.0626 | 1.1431 | 1.1010 | 1.2305 | | Shaanxi | 1.0629 | 0.9697 | 1.0625 | 1.0267 | 1.1200 | 1.1110 | 1.1178 | 1.2256 | | Gansu | 1.0289 | 0.9853 | 1.0394 | 1.0153 | 1.0659 | 1.0403 | 1.0374 | 1.0478 | | Qinghai | 1.0296 | 1.0463 | 1.0841 | 1.0802 | 1.1049 | 1.0886 | 1.0704 | 1.0499 | | Ningxia | 0.9825 | 1.0170 | 1.0473 | 1.0445 | 1.1122 | 1.1445 | 1.1434 | 1.0410 | | Xinjiang | 1.0197 | 1.0297 | 1.0680 | 0.9849 | 1.0351 | 1.1008 | 1.1634 | 1.0206 | | Mean value | 1.0404 | 1.0133 | 1.0694 | 1.0635 | 1.1200 | 1.1199 | 1.1510 | 1.0850 |
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