Research Article
The Effect of Innovation Investment on Environmental Total Factor Productivity
Table 4
The change in technological progress (MTC).
| | 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 | 1.0241 | 0.9681 | 1.0384 | 1.1151 | 1.1668 | 1.1043 | 1.1210 | 1.0487 | | Hebei | 1.0261 | 0.7196 | 1.0928 | 1.1320 | 1.0946 | 1.0960 | 1.1041 | 1.1209 | | Shanxi | 1.0173 | 0.9019 | 1.0549 | 1.0798 | 1.0877 | 1.0592 | 1.0773 | 0.9673 | | Mongolia | 1.0463 | 0.6307 | 1.0928 | 1.1384 | 1.0953 | 1.0914 | 1.0906 | 1.1048 | | Liaoning | 1.0227 | 0.9420 | 1.0606 | 1.0891 | 1.1115 | 1.0916 | 1.0771 | 0.9626 | | Jilin | 1.0231 | 0.9098 | 1.0410 | 1.1055 | 1.1243 | 1.0682 | 1.0553 | 1.0414 | | Heilongjiang | 1.0195 | 1.0021 | 1.0337 | 1.0847 | 1.1111 | 1.0299 | 1.0229 | 1.0230 | | Shanghai | 1.0135 | 1.0068 | 1.0566 | 1.0462 | 1.1885 | 1.2529 | 1.2830 | 0.9791 | | Jiangsu | 1.0442 | 0.9200 | 1.0402 | 1.1205 | 1.1362 | 1.1226 | 1.1358 | 1.1351 | | Zhejiang | 1.0336 | 1.0258 | 1.0584 | 1.0874 | 1.1839 | 1.0833 | 1.1227 | 1.0564 | | Anhui | 1.0441 | 0.7723 | 1.0833 | 1.1151 | 1.1322 | 1.1225 | 1.1009 | 1.1316 | | Fujian | 1.0510 | 1.0502 | 1.0525 | 1.0495 | 1.1369 | 0.9030 | 1.1015 | 1.0748 | | Jiangxi | 1.0435 | 0.8964 | 1.0947 | 1.0945 | 1.1210 | 1.0902 | 1.1444 | 1.0857 | | Shandong | 1.0385 | 0.8422 | 1.0760 | 1.1084 | 1.0922 | 1.0969 | 1.0910 | 1.0692 | | Henan | 1.0288 | 0.8952 | 1.0487 | 1.1021 | 1.1341 | 1.0898 | 1.0775 | 1.0738 | | Hubei | 1.0302 | 0.9426 | 1.0720 | 1.1064 | 1.1424 | 1.1009 | 1.1454 | 1.1006 | | Hunan | 1.0306 | 0.9195 | 1.0948 | 1.1192 | 1.1168 | 1.1120 | 1.1352 | 1.0990 | | Guangdong | 1.0329 | 0.9379 | 1.0890 | 1.0698 | 1.1514 | 1.0898 | 1.2086 | 1.0193 | | Guangxi | 1.0249 | 0.9418 | 1.0632 | 1.0980 | 1.1326 | 1.1093 | 1.1428 | 1.0894 | | Hainan | 1.0291 | 1.0379 | 1.0732 | 1.0788 | 1.2238 | 1.1283 | 1.0950 | 1.0495 | | Chongqing | 1.0255 | 0.9542 | 1.0835 | 1.0792 | 1.1186 | 1.0904 | 1.1757 | 1.0780 | | Sichuan | 1.0292 | 0.9789 | 1.0588 | 1.0910 | 1.1169 | 1.0901 | 1.2209 | 1.0382 | | Guizhou | 1.0151 | 0.9589 | 1.0610 | 1.0984 | 1.0868 | 1.0905 | 1.0932 | 1.1193 | | Yunnan | 1.0209 | 0.9698 | 1.0577 | 1.0964 | 1.0928 | 1.0849 | 1.1346 | 1.1003 | | Shaanxi | 1.0297 | 0.8583 | 1.0779 | 1.1013 | 1.1134 | 1.0779 | 1.0702 | 1.0508 | | Gansu | 1.0148 | 0.9810 | 1.0421 | 1.0546 | 1.1069 | 0.9970 | 1.0263 | 0.9886 | | Qinghai | 1.0161 | 0.9596 | 1.0841 | 1.1212 | 1.0872 | 1.0770 | 1.0849 | 1.0619 | | Ningxia | 1.0108 | 0.6997 | 1.0928 | 1.1384 | 1.0984 | 1.0955 | 1.0915 | 1.1421 | | Xinjiang | 1.0141 | 0.8936 | 1.0614 | 1.0978 | 1.0955 | 1.0569 | 1.0590 | 1.0513 | | Mean value | 1.0290 | 0.9211 | 1.0673 | 1.0977 | 1.1308 | 1.0865 | 1.1351 | 1.0697 |
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