Research Article
Spatiotemporal Evolution and Influencing Factors of China’s Agricultural Environmental Efficiency
Table 3
Measured AEEs of each province in China during 2000–2018.
| Province | 2000 | 2002 | 2004 | 2006 | 2008 | 2010 | 2012 | 2014 | 2016 | 2018 | Mean |
| Beijing | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | Hainan | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | Shanghai | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 1.0000 | 0.7609 | 0.7714 | 0.9527 | Guangdong | 0.8869 | 0.8828 | 0.9207 | 0.9551 | 0.9172 | 0.9044 | 0.8784 | 0.8089 | 0.8467 | 0.8618 | 0.8830 | Fujian | 0.9369 | 0.8461 | 0.8733 | 0.8721 | 0.8945 | 0.9049 | 0.8793 | 0.8209 | 0.8674 | 0.8941 | 0.8753 | Liaoning | 0.8265 | 0.8091 | 0.8526 | 0.8627 | 0.8683 | 0.8305 | 0.8154 | 0.7646 | 0.7938 | 0.7998 | 0.8217 | Tianjin | 0.8495 | 0.7442 | 0.7248 | 0.7492 | 0.7673 | 0.7745 | 0.7785 | 0.7658 | 1.0000 | 1.0000 | 0.8108 | Sichuan | 0.7471 | 0.7867 | 0.8404 | 0.8583 | 0.8122 | 0.7961 | 0.7775 | 0.7078 | 0.7716 | 0.7907 | 0.7850 | Jiangsu | 0.7600 | 0.7448 | 0.7750 | 0.7786 | 0.7787 | 0.7862 | 0.7602 | 0.7383 | 0.8156 | 0.8256 | 0.7762 | Zhejiang | 0.8208 | 0.7791 | 0.7617 | 0.7633 | 0.7884 | 0.7691 | 0.7656 | 0.7120 | 0.7597 | 0.7661 | 0.7654 | Qinghai | 0.7591 | 0.7702 | 0.7815 | 0.7993 | 0.7785 | 0.7372 | 0.7127 | 0.6552 | 0.7356 | 0.7424 | 0.7327 | Chongqing | 0.6958 | 0.6959 | 0.7343 | 0.7172 | 0.7423 | 0.7364 | 0.7160 | 0.6784 | 0.7186 | 0.6977 | 0.7128 | Jiangxi | 0.7404 | 0.7375 | 0.7317 | 0.7285 | 0.7085 | 0.6844 | 0.6847 | 0.6479 | 0.7095 | 0.7465 | 0.7073 | Hunan | 0.7420 | 0.7442 | 0.7145 | 0.7269 | 0.7311 | 0.7104 | 0.6973 | 0.6282 | 0.6903 | 0.6828 | 0.7024 | Jilin | 0.7296 | 0.7293 | 0.6919 | 0.7179 | 0.7104 | 0.6801 | 0.6472 | 0.6127 | 0.6940 | 0.7037 | 0.6903 | Guizhou | 0.7451 | 0.7288 | 0.7384 | 0.7173 | 0.6928 | 0.6856 | 0.6393 | 0.6016 | 0.6709 | 0.7243 | 0.6867 | Guangxi | 0.6623 | 0.6563 | 0.6693 | 0.7095 | 0.7143 | 0.7032 | 0.6842 | 0.6369 | 0.6467 | 0.6517 | 0.6704 | Yunnan | 0.6632 | 0.6367 | 0.6569 | 0.6913 | 0.6783 | 0.6450 | 0.6070 | 0.5714 | 0.6008 | 0.6516 | 0.6348 | Inner Mongolia | 0.7470 | 0.7185 | 0.6716 | 0.7013 | 0.6108 | 0.5929 | 0.5694 | 0.5305 | 0.5891 | 0.5853 | 0.6262 | Shandong | 0.6673 | 0.5900 | 0.5606 | 0.5759 | 0.6430 | 0.6340 | 0.6277 | 0.5836 | 0.6605 | 0.7147 | 0.6194 | Hubei | 0.6671 | 0.6389 | 0.6436 | 0.6423 | 0.6251 | 0.6236 | 0.5806 | 0.5352 | 0.6100 | 0.6398 | 0.6157 | Xinjiang | 0.7000 | 0.6521 | 0.6261 | 0.6487 | 0.6015 | 0.5867 | 0.5450 | 0.5107 | 0.5769 | 0.5969 | 0.6083 | Hebei | 0.6533 | 0.5963 | 0.5405 | 0.5778 | 0.6087 | 0.5991 | 0.5963 | 0.5556 | 0.6479 | 0.6766 | 0.5988 | Henan | 0.6170 | 0.6056 | 0.5928 | 0.6232 | 0.6315 | 0.6056 | 0.5887 | 0.5377 | 0.5830 | 0.6059 | 0.5928 | Heilongjiang | 0.5932 | 0.5695 | 0.6122 | 0.6169 | 0.5637 | 0.5565 | 0.5345 | 0.5246 | 0.6142 | 0.6187 | 0.5760 | Shaanxi | 0.4870 | 0.5336 | 0.5639 | 0.6093 | 0.6086 | 0.5588 | 0.5112 | 0.5103 | 0.5215 | 0.5257 | 0.5653 | Anhui | 0.6155 | 0.6065 | 0.5746 | 0.5755 | 0.5720 | 0.5562 | 0.5524 | 0.4927 | 0.5582 | 0.5672 | 0.5578 | Gansu | 0.5662 | 0.5318 | 0.5414 | 0.5522 | 0.5274 | 0.5075 | 0.4980 | 0.4423 | 0.4999 | 0.5236 | 0.5131 | Shanxi | 0.4931 | 0.4994 | 0.4751 | 0.4693 | 0.4764 | 0.4619 | 0.4540 | 0.4059 | 0.4467 | 0.4514 | 0.4569 | Ningxia | 0.4604 | 0.4622 | 0.4460 | 0.4710 | 0.4411 | 0.4588 | 0.4219 | 0.3922 | 0.4586 | 0.4678 | 0.4562 |
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Note. For the lack of space, only the AEEs in even-numbered years are given in the above table.
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