Research Article
[Retracted] How to Evaluate the Efficiency of Green Economy and Its Regional Differences: Evidence from China
Table 2
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 | 1.106 | 1.093 | 1.096 | 1.098 | 1.104 | 1.097 | 1.109 | 1.098 | 1.095 | 1.000 | Hebei | 0.469 | 0.504 | 0.450 | 0.429 | 0.408 | 0.406 | 0.418 | 0.444 | 0.440 | 0.463 | Shanghai | 1.094 | 1.034 | 1.027 | 1.028 | 1.020 | 1.026 | 1.040 | 1.073 | 1.062 | 1.041 | Jiangsu | 1.044 | 1.076 | 1.080 | 0.628 | 0.589 | 0.628 | 0.620 | 1.005 | 1.019 | 1.040 | Zhejiang | 0.573 | 0.601 | 0.597 | 0.551 | 0.545 | 0.551 | 0.615 | 1.000 | 0.603 | 1.025 | Fujian | 1.016 | 1.007 | 1.001 | 0.530 | 0.537 | 1.002 | 1.023 | 1.022 | 1.032 | 1.045 | Shandong | 0.591 | 0.589 | 0.565 | 0.537 | 0.525 | 0.517 | 0.499 | 0.517 | 0.506 | 1.005 | Guangdong | 1.058 | 1.056 | 1.049 | 1.042 | 1.034 | 1.024 | 0.683 | 0.570 | 0.632 | 0.531 | Hainan | 0.571 | 0.610 | 0.600 | 0.541 | 0.542 | 0.470 | 0.460 | 0.470 | 0.431 | 0.430 | Mean | 0.874 | 0.878 | 0.867 | 0.759 | 0.751 | 0.793 | 0.767 | 0.840 | 0.801 | 0.890 |
| Central China | Shanxi | 0.400 | 0.432 | 0.381 | 0.351 | 0.324 | 0.317 | 0.305 | 0.330 | 0.336 | 0.270 | Anhui | 0.418 | 0.441 | 0.429 | 0.402 | 0.399 | 0.397 | 0.400 | 0.407 | 0.384 | 0.586 | Jiangxi | 0.438 | 0.443 | 0.429 | 0.408 | 0.406 | 0.394 | 0.396 | 0.381 | 0.383 | 0.395 | Henan | 0.457 | 0.449 | 0.440 | 0.410 | 0.415 | 0.409 | 0.419 | 0.420 | 0.436 | 0.506 | Hubei | 0.500 | 0.506 | 0.514 | 0.475 | 0.467 | 0.485 | 0.505 | 0.488 | 0.490 | 1.019 | Hunan | 0.556 | 0.585 | 0.613 | 1.006 | 1.004 | 1.015 | 1.020 | 1.017 | 1.010 | 1.017 | Mean | 0.462 | 0.476 | 0.468 | 0.509 | 0.502 | 0.503 | 0.508 | 0.507 | 0.507 | 0.632 |
| Northeastern China | Liaoning | 0.460 | 0.457 | 0.460 | 0.436 | 0.425 | 0.425 | 0.306 | 0.323 | 0.340 | 0.303 | Jilin | 1.004 | 1.009 | 0.461 | 1.006 | 1.005 | 1.007 | 1.000 | 0.407 | 0.390 | 0.246 | Heilongjiang | 0.423 | 0.433 | 0.414 | 0.397 | 0.401 | 0.378 | 0.353 | 0.335 | 0.324 | 0.235 | Mean | 0.629 | 0.633 | 0.445 | 0.613 | 0.610 | 0.603 | 0.553 | 0.355 | 0.351 | 0.261 |
| Western China | Inner Mongolia | 0.508 | 1.030 | 1.038 | 1.033 | 1.022 | 1.013 | 0.415 | 0.328 | 0.338 | 0.355 | Guangxi | 0.395 | 0.437 | 0.420 | 0.402 | 0.401 | 0.408 | 0.409 | 0.365 | 0.354 | 0.317 | Chongqing | 0.435 | 0.463 | 0.493 | 0.466 | 0.479 | 0.482 | 0.522 | 0.514 | 0.474 | 1.020 | Sichuan | 0.456 | 0.475 | 0.495 | 0.469 | 0.465 | 0.448 | 0.463 | 0.455 | 0.451 | 0.601 | Guizhou | 0.336 | 0.339 | 0.347 | 0.351 | 0.352 | 0.379 | 0.396 | 0.378 | 0.378 | 0.398 | Yunnan | 0.353 | 0.341 | 0.353 | 0.372 | 0.361 | 0.368 | 0.359 | 0.353 | 0.344 | 0.572 | Shanxi | 1.008 | 1.022 | 1.010 | 0.489 | 0.481 | 0.459 | 0.439 | 0.438 | 0.451 | 0.440 | Gansu | 0.308 | 0.313 | 0.308 | 0.289 | 0.272 | 0.257 | 0.241 | 0.231 | 0.240 | 0.212 | Ningxia | 0.256 | 0.275 | 0.269 | 0.257 | 0.246 | 0.247 | 0.254 | 0.253 | 0.258 | 0.236 | Qinghai | 0.321 | 0.334 | 0.337 | 0.314 | 0.309 | 0.305 | 0.298 | 0.287 | 0.294 | 0.250 | Xinjiang | 0.309 | 0.307 | 0.294 | 0.273 | 0.263 | 0.248 | 0.228 | 0.226 | 0.238 | 0.235 | Mean | 0.426 | 0.485 | 0.488 | 0.429 | 0.423 | 0.420 | 0.366 | 0.348 | 0.347 | 0.421 |
| Nationwide | Mean | 0.600 | 0.630 | 0.601 | 0.574 | 0.568 | 0.579 | 0.547 | 0.541 | 0.527 | 0.597 |
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