Research Article
Analysis of the Coupling Coordination and Spatiotemporal Evolution of High-Tech Industrial Technological Innovation and Regional Economic Development
Table 7
Coupling coordination degree of 24 provinces (cities).
| Province (city) | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Mean value |
| Beijing | 0.4743 | 0.5078 | 0.5487 | 0.5749 | 0.5723 | 0.5492 | 0.6102 | 0.6432 | 0.6215 | 0.7057 | 0.5808 | Tianjin | 0.3477 | 0.4061 | 0.4685 | 0.4890 | 0.5363 | 0.5314 | 0.5706 | 0.6073 | 0.5818 | 0.5977 | 0.5136 | Hebei | 0.3265 | 0.3680 | 0.3909 | 0.4527 | 0.4305 | 0.4555 | 0.4939 | 0.5460 | 0.5034 | 0.5735 | 0.4541 | Shanxi | 0.2137 | 0.2616 | 0.3206 | 0.3473 | 0.3776 | 0.3754 | 0.4162 | 0.4237 | 0.4080 | 0.4197 | 0.3564 | Liaoning | 0.4081 | 0.4541 | 0.5039 | 0.5516 | 0.5043 | 0.4787 | 0.5389 | 0.5211 | 0.5129 | 0.5534 | 0.5027 | Jilin | 0.2457 | 0.2945 | 0.3335 | 0.3638 | 0.3917 | 0.4016 | 0.4180 | 0.4424 | 0.4173 | 0.4572 | 0.3766 | Heilongjiang | 0.2283 | 0.2828 | 0.3270 | 0.3572 | 0.3817 | 0.3953 | 0.4169 | 0.4343 | 0.4083 | 0.4282 | 0.3660 | Shanghai | 0.5354 | 0.5499 | 0.5519 | 0.5935 | 0.5809 | 0.4828 | 0.6152 | 0.6845 | 0.6201 | 0.7182 | 0.5932 | Jiangsu | 0.5715 | 0.6073 | 0.6390 | 0.7144 | 0.6589 | 0.6010 | 0.7166 | 0.8009 | 0.6903 | 0.8072 | 0.6807 | Zhejiang | 0.4819 | 0.5250 | 0.5748 | 0.6216 | 0.6422 | 0.5974 | 0.6774 | 0.7186 | 0.6650 | 0.7531 | 0.6257 | Anhui | 0.2417 | 0.3023 | 0.3436 | 0.3653 | 0.4473 | 0.4650 | 0.4986 | 0.4814 | 0.5288 | 0.5799 | 0.4254 | Fujian | 0.3114 | 0.3816 | 0.4558 | 0.4728 | 0.5211 | 0.5135 | 0.5694 | 0.5955 | 0.5850 | 0.6484 | 0.5054 | Jiangxi | 0.2223 | 0.2730 | 0.3291 | 0.3536 | 0.3959 | 0.4166 | 0.4535 | 0.4799 | 0.4826 | 0.5201 | 0.3927 | Shandong | 0.4787 | 0.5328 | 0.5717 | 0.6214 | 0.5897 | 0.5673 | 0.6563 | 0.7141 | 0.6409 | 0.6994 | 0.6072 | Henan | 0.3155 | 0.3640 | 0.4064 | 0.4537 | 0.4947 | 0.5161 | 0.5567 | 0.5940 | 0.5801 | 0.6434 | 0.4925 | Hubei | 0.2688 | 0.3429 | 0.4012 | 0.4400 | 0.4655 | 0.4702 | 0.5355 | 0.5717 | 0.5246 | 0.6179 | 0.4638 | Hunan | 0.2497 | 0.2976 | 0.3627 | 0.3946 | 0.4547 | 0.4879 | 0.5210 | 0.5511 | 0.5281 | 0.5959 | 0.4443 | Guangdong | 0.5605 | 0.5911 | 0.5608 | 0.6614 | 0.6386 | 0.5133 | 0.6167 | 0.6861 | 0.6705 | 0.7891 | 0.6288 | Guangxi | 0.2142 | 0.2775 | 0.3200 | 0.3537 | 0.3860 | 0.4087 | 0.4407 | 0.4528 | 0.4594 | 0.5050 | 0.3818 | Chongqing | 0.1984 | 0.2640 | 0.3302 | 0.3714 | 0.4342 | 0.4583 | 0.4732 | 0.4867 | 0.5176 | 0.5306 | 0.4065 | Sichuan | 0.3127 | 0.3726 | 0.4019 | 0.4619 | 0.4949 | 0.4991 | 0.5357 | 0.5741 | 0.5713 | 0.6256 | 0.4850 | Guizhou | 0.0583 | 0.1212 | 0.2017 | 0.2228 | 0.3020 | 0.3523 | 0.3819 | 0.4112 | 0.4047 | 0.4545 | 0.2911 | Yunnan | 0.1708 | 0.2135 | 0.2797 | 0.3125 | 0.3768 | 0.3877 | 0.4047 | 0.4387 | 0.4372 | 0.4905 | 0.3512 | Shaanxi | 0.1910 | 0.2804 | 0.3404 | 0.3882 | 0.4281 | 0.4188 | 0.4655 | 0.4980 | 0.4630 | 0.5243 | 0.3998 | Mean value | 0.3178 | 0.3697 | 0.4152 | 0.4558 | 0.4794 | 0.4726 | 0.5243 | 0.5566 | 0.5343 | 0.5933 | 0.4719 |
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