Research Article
The Effect of Innovation Investment on Environmental Total Factor Productivity
Table 3
The change in technical efficiency (MEC).
| | Region | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| | Beijing | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | | Tianjin | 1.0312 | 1.0911 | 1.0468 | 0.9267 | 1.0099 | 1.0218 | 1.0243 | 0.9930 | | Hebei | 0.9822 | 1.4048 | 0.9467 | 0.9378 | 0.9861 | 1.1664 | 0.9331 | 0.9181 | | Shanxi | 0.9990 | 1.0877 | 0.9738 | 0.9264 | 0.9578 | 1.1327 | 1.0290 | 1.0545 | | Mongolia | 0.9957 | 1.5740 | 0.9843 | 0.9456 | 0.9833 | 1.0356 | 1.0357 | 1.0055 | | Liaoning | 1.0129 | 1.0430 | 1.0012 | 0.9890 | 1.0766 | 1.0473 | 1.0375 | 1.1010 | | Jilin | 1.0264 | 1.0567 | 1.0210 | 0.9285 | 0.9726 | 1.0100 | 1.0323 | 1.0116 | | Heilongjiang | 1.0155 | 1.0450 | 1.0169 | 0.9228 | 0.9348 | 1.0199 | 1.0217 | 1.0416 | | Shanghai | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | | Jiangsu | 1.0000 | 1.0000 | 0.9969 | 1.0032 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | | Zhejiang | 1.0081 | 1.0514 | 0.9940 | 1.0152 | 0.9856 | 1.0077 | 1.0417 | 1.0369 | | Anhui | 1.0091 | 1.2746 | 1.0000 | 0.9591 | 0.9963 | 1.0061 | 0.9184 | 0.9698 | | Fujian | 0.9365 | 1.0006 | 0.9964 | 0.9958 | 1.0064 | 1.1357 | 0.9436 | 0.9663 | | Jiangxi | 0.9986 | 1.1165 | 0.9616 | 0.9449 | 1.0014 | 1.0176 | 1.0508 | 0.9700 | | Shandong | 1.0062 | 1.1745 | 1.0057 | 0.9899 | 0.9810 | 0.9906 | 1.0127 | 0.9772 | | Henan | 1.0083 | 1.0602 | 1.0088 | 0.9552 | 0.9971 | 1.0326 | 1.1197 | 1.0086 | | Hubei | 1.0524 | 1.0705 | 1.0207 | 0.9730 | 0.9812 | 1.0348 | 1.0588 | 1.0000 | | Hunan | 1.0564 | 1.1501 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 0.9616 | | Guangdong | 1.0000 | 0.9243 | 0.9952 | 1.0347 | 0.9746 | 1.0029 | 0.9508 | 1.0277 | | Guangxi | 1.0074 | 1.0590 | 1.0235 | 0.9904 | 0.9897 | 0.9756 | 1.0262 | 0.9642 | | Hainan | 1.0181 | 1.0109 | 0.9864 | 0.9946 | 0.9601 | 0.9785 | 1.0170 | 1.0110 | | Chongqing | 1.0473 | 1.1015 | 0.9959 | 1.0144 | 1.0149 | 1.0307 | 0.9690 | 1.0373 | | Sichuan | 1.0425 | 0.9585 | 1.0537 | 0.9791 | 0.9930 | 1.0583 | 1.0238 | 1.0405 | | Guizhou | 1.0216 | 1.0988 | 1.0455 | 1.0113 | 0.9936 | 1.0215 | 1.0403 | 0.9345 | | Yunnan | 1.0232 | 1.0888 | 1.0433 | 0.9620 | 0.9723 | 1.0536 | 0.9704 | 1.1184 | | Shaanxi | 1.0322 | 1.1297 | 0.9857 | 0.9322 | 1.0060 | 1.0308 | 1.0444 | 1.1664 | | Gansu | 1.0139 | 1.0044 | 0.9973 | 0.9628 | 0.9630 | 1.0435 | 1.0108 | 1.0598 | | Qinghai | 1.0132 | 1.0903 | 1.0000 | 0.9634 | 1.0163 | 1.0108 | 0.9867 | 0.9887 | | Ningxia | 0.9719 | 1.4535 | 0.9583 | 0.9175 | 1.0126 | 1.0447 | 1.0476 | 0.9115 | | Xinjiang | 1.0055 | 1.1523 | 1.0062 | 0.8971 | 0.9448 | 1.0415 | 1.0986 | 0.9708 | | Mean value | 1.0112 | 1.1091 | 1.0022 | 0.9691 | 0.9904 | 1.0317 | 1.0148 | 1.0082 |
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