Research Article
[Retracted] How to Evaluate the Efficiency of Green Economy and Its Regional Differences: Evidence from China
Table 4
Green economic efficiency in all regions from 2010 to 2019.
| Region | Province year | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| Eastern China | Beijing | 1.222 | 1.212 | 1.205 | 1.205 | 1.208 | 1.212 | 1.205 | 1.202 | 1.195 | 1.316 | Tianjin | 0.576 | 0.605 | 1.011 | 1.017 | 1.022 | 1.018 | 1.002 | 0.596 | 0.567 | 0.271 | Hebei | 1.002 | 1.005 | 1.011 | 1.005 | 1.000 | 0.550 | 0.542 | 1.036 | 1.007 | 0.427 | Shanghai | 1.076 | 1.019 | 1.014 | 1.022 | 0.753 | 0.739 | 1.018 | 1.063 | 1.056 | 1.030 | Jiangsu | 1.041 | 1.055 | 1.067 | 1.027 | 1.018 | 1.024 | 1.026 | 1.037 | 1.035 | 1.058 | Zhejiang | 1.014 | 1.009 | 1.011 | 1.006 | 1.002 | 1.016 | 1.018 | 1.016 | 1.014 | 1.012 | Fujian | 0.565 | 0.515 | 0.573 | 0.657 | 1.006 | 0.628 | 1.003 | 0.664 | 1.005 | 1.016 | Shandong | 1.088 | 1.081 | 1.086 | 1.091 | 1.078 | 1.090 | 1.082 | 1.082 | 1.069 | 1.015 | Guangdong | 1.079 | 1.070 | 1.066 | 1.072 | 1.059 | 1.050 | 1.052 | 1.057 | 1.054 | 1.048 | Hainan | 0.192 | 0.210 | 0.218 | 0.217 | 0.223 | 0.211 | 0.210 | 0.206 | 0.196 | 0.179 | Mean | 0.886 | 0.878 | 0.926 | 0.932 | 0.937 | 0.854 | 0.916 | 0.896 | 0.920 | 0.837 |
| Central China | Shanxi | 0.346 | 0.372 | 0.370 | 0.354 | 0.341 | 0.352 | 0.319 | 0.333 | 0.339 | 0.293 | Anhui | 0.422 | 0.420 | 0.443 | 0.476 | 0.489 | 0.469 | 0.444 | 0.462 | 0.459 | 0.503 | Jiangxi | 0.367 | 0.364 | 0.383 | 0.409 | 0.425 | 0.406 | 0.381 | 0.379 | 0.379 | 0.374 | Henan | 0.627 | 0.646 | 0.652 | 0.624 | 1.007 | 0.608 | 1.001 | 0.668 | 0.734 | 0.594 | Hubei | 0.501 | 0.482 | 0.518 | 0.575 | 0.581 | 0.590 | 0.608 | 0.601 | 0.677 | 1.011 | Hunan | 0.495 | 0.512 | 0.549 | 0.570 | 1.003 | 1.011 | 1.023 | 1.003 | 1.002 | 0.582 | Mean | 0.460 | 0.466 | 0.486 | 0.501 | 0.641 | 0.573 | 0.629 | 0.574 | 0.598 | 0.559 |
| Northeastern China | Liaoning | 0.594 | 0.553 | 0.581 | 0.622 | 0.599 | 0.569 | 0.392 | 0.395 | 0.386 | 0.340 | Jilin | 0.352 | 0.338 | 0.384 | 0.386 | 0.384 | 0.368 | 0.380 | 0.351 | 0.341 | 0.231 | Heilongjiang | 0.374 | 0.351 | 0.355 | 0.383 | 0.394 | 0.365 | 0.325 | 0.327 | 0.326 | 0.240 | Mean | 0.440 | 0.414 | 0.440 | 0.464 | 0.459 | 0.434 | 0.366 | 0.357 | 0.351 | 0.270 |
| Western China | Inner Mongolia | 0.447 | 0.434 | 1.014 | 0.509 | 0.447 | 0.415 | 0.422 | 0.341 | 0.334 | 0.291 | Guangxi | 0.327 | 0.360 | 0.369 | 0.404 | 0.417 | 0.419 | 0.394 | 0.354 | 0.358 | 0.334 | Chongqing | 0.350 | 0.380 | 0.437 | 0.454 | 0.459 | 0.459 | 0.479 | 0.478 | 0.456 | 0.434 | Sichuan | 0.561 | 0.554 | 0.622 | 0.715 | 0.623 | 0.592 | 1.007 | 0.607 | 0.646 | 1.006 | Guizhou | 0.283 | 0.261 | 0.290 | 0.328 | 0.334 | 0.356 | 0.368 | 0.366 | 0.362 | 0.334 | Yunnan | 0.347 | 0.316 | 0.353 | 0.402 | 0.409 | 0.395 | 0.355 | 0.375 | 0.373 | 0.414 | Shanxi | 0.428 | 0.434 | 1.004 | 0.544 | 0.613 | 0.488 | 0.455 | 0.475 | 0.487 | 0.407 | Gansu | 0.222 | 0.208 | 0.230 | 0.249 | 0.254 | 0.239 | 0.209 | 0.210 | 0.213 | 0.204 | Ningxia | 0.087 | 0.095 | 0.103 | 0.106 | 0.110 | 0.113 | 0.116 | 0.111 | 0.108 | 0.103 | Qinghai | 0.084 | 0.090 | 0.097 | 0.100 | 0.110 | 0.108 | 0.103 | 0.103 | 0.105 | 0.099 | Xinjiang | 0.218 | 0.209 | 0.220 | 0.232 | 0.242 | 0.232 | 0.207 | 0.215 | 0.221 | 0.225 | Mean | 0.305 | 0.304 | 0.431 | 0.368 | 0.365 | 0.347 | 0.374 | 0.331 | 0.333 | 0.350 |
| Nationwide | Mean | 0.541 | 0.536 | 0.604 | 0.589 | 0.618 | 0.568 | 0.601 | 0.567 | 0.580 | 0.541 |
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