Table 6. The values of SCC, SCI, PSCC and determination coefficients of the 29 Chinese regions (2000–2013).
Year | 2000 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 |
---|---|---|---|---|---|---|---|---|---|---|
SCC R 0 | 0.9142 | 0.9451 | 0.9447 | 0.9470 | 0.9523 | 0.9512 | 0.9577 | 0.9520 | 0.9457 | 0.9428 |
SCI R c | 0.0995 | 0.1382 | 0.1409 | 0.1415 | 0.1521 | 0.1550 | 0.1566 | 0.1575 | 0.1566 | 0.1556 |
PSCC R p | 0.8147 | 0.8068 | 0.8038 | 0.8056 | 0.8001 | 0.7962 | 0.8011 | 0.7945 | 0.7891 | 0.7872 |
R 2 (x-y) | 0.1704 | 0.2940 | 0.3031 | 0.3015 | 0.3431 | 0.3499 | 0.3750 | 0.3756 | 0.3710 | 0.3623 |
R 2 (y-x) | 0.1540 | 0.2450 | 0.2544 | 0.2576 | 0.2846 | 0.2975 | 0.3056 | 0.3133 | 0.3139 | 0.3189 |
R 2 (x-y)+ R 2 (y-x) | 0.3244 | 0.5391 | 0.5575 | 0.5591 | 0.6277 | 0.6474 | 0.6807 | 0.6889 | 0.6848 | 0.6813 |
F (x-y) | 5.7531 | 11.6628 | 12.1773 | 12.0834 | 14.6235 | 15.0728 | 16.8033 | 16.8437 | 16.5136 | 15.9081 |
δ (x-y) | 0.0415 | 0.0405 | 0.0404 | 0.0407 | 0.0398 | 0.0399 | 0.0382 | 0.0384 | 0.0385 | 0.0390 |
P (x-y) | 0.0234 | 0.0020 | 0.0016 | 0.0017 | 0.0007 | 0.0006 | 0.0003 | 0.0003 | 0.0004 | 0.0004 |
F (y-x) | 5.0965 | 9.0879 | 9.5518 | 9.7173 | 11.1373 | 11.8579 | 12.3233 | 12.7729 | 12.8075 | 13.1127 |
δ (y-x) | 0.0441 | 0.0459 | 0.0456 | 0.0454 | 0.0456 | 0.0450 | 0.0446 | 0.0441 | 0.0438 | 0.0430 |
P (y-x) | 0.0320 | 0.0054 | 0.0045 | 0.0042 | 0.0024 | 0.0018 | 0.0015 | 0.0013 | 0.0013 | 0.0011 |
Note: The statistical data of the level of urbanization from 2001 to 2004 are absent in the website of China’s NBS. The statistic R 2 (x-y) denotes the goodness of fit for the regression of nWy depending on x, and R 2 (y-x) refers to the goodness of fit for the regression of nWx depending on y. Based on the R 2 values, the F statistics, t statistics, and parameter standard errors δ can be calculated with the formulae such as F = t 2 = (n-1)R 2/(1-R 2) and δ = R c[(1/R 2-1)/(n-1)]1/2. Further, the significance, P, can be reckoned using the F distribution function of MS Excel.