国内耦合协调度模型的误区及修正
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王淑佳, 孔伟, 任亮, 治丹丹, 戴彬婷
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Research on misuses and modification of coupling coordination degree model in China
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WANG Shu-jia, KONG Wei, REN Liang, ZHI Dan-dan, DAI Bin-ting
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表8 原模型与修正后模型计算京津冀13市生态—经济耦合协调度C值
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Table 8 Comparation of C-values of eco-economic coupling coordination degree of 13 cities in Beijing-Tianjin-Hebei Region between the original model and the modified model
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年份/C值 | 北京 | 天津 | 石家庄 | 唐山 | 秦皇岛 | 邯郸 | 邢台 | 保定 | 张家口 | 承德 | 沧州 | 廊坊 | 衡水 | 2008 | 原 | 0.9989 | 0.9935 | 0.8868 | 0.9073 | 0.6821 | 0.8328 | 0.6816 | 0.7789 | 0.6871 | 0.6101 | 0.8017 | 0.7867 | 0.7191 | 新 | 0.9404 | 0.8660 | 0.5440 | 0.5769 | 0.3006 | 0.4780 | 0.3344 | 0.4171 | 0.3278 | 0.2700 | 0.4374 | 0.4196 | 0.3738 | 2009 | 原 | 0.9984 | 0.9997 | 0.8912 | 0.9079 | 0.6790 | 0.8114 | 0.6839 | 0.7786 | 0.7180 | 0.6377 | 0.8018 | 0.7587 | 0.7396 | 新 | 0.9238 | 0.9675 | 0.5435 | 0.5716 | 0.2946 | 0.4445 | 0.3224 | 0.4117 | 0.3533 | 0.2731 | 0.4352 | 0.3821 | 0.3906 | 2010 | 原 | 0.9999 | 0.9920 | 0.9071 | 0.9224 | 0.6957 | 0.8309 | 0.7044 | 0.7992 | 0.7556 | 0.6212 | 0.8277 | 0.7707 | 0.7109 | 新 | 0.9835 | 0.8497 | 0.5659 | 0.5942 | 0.3041 | 0.4593 | 0.3385 | 0.4245 | 0.3857 | 0.2533 | 0.4574 | 0.3908 | 0.3529 | 2011 | 原 | 0.9939 | 0.9848 | 0.9373 | 0.9468 | 0.7446 | 0.8488 | 0.7437 | 0.8114 | 0.7806 | 0.6469 | 0.8601 | 0.8162 | 0.7560 | 新 | 0.8485 | 0.7896 | 0.6271 | 0.6503 | 0.3454 | 0.4767 | 0.3720 | 0.4332 | 0.4123 | 0.2600 | 0.4994 | 0.4361 | 0.3951 | 2012 | 原 | 0.9992 | 0.9913 | 1.0000 | 0.9276 | 0.6720 | 0.8527 | 0.7674 | 0.8211 | 0.7859 | 0.6561 | 0.8749 | 0.8133 | 0.7577 | 新 | 0.9445 | 0.8342 | 0.9949 | 0.5937 | 0.2497 | 0.4816 | 0.3967 | 0.4433 | 0.4134 | 0.2615 | 0.5164 | 0.4243 | 0.3931 | 2013 | 原 | 0.9858 | 0.9280 | 0.9867 | 0.9866 | 0.7442 | 0.9215 | 0.8259 | 0.8680 | 0.7819 | 0.6619 | 0.9183 | 0.9025 | 0.7773 | 新 | 0.7757 | 0.5868 | 0.8169 | 0.8135 | 0.3519 | 0.6125 | 0.4721 | 0.5160 | 0.4043 | 0.2746 | 0.6006 | 0.5692 | 0.4184 | 2014 | 原 | 0.9942 | 0.9488 | 0.9834 | 0.9815 | 0.6713 | 0.8995 | 0.8283 | 0.8917 | 0.7556 | 0.6955 | 0.9270 | 0.9064 | 0.8257 | 新 | 0.8523 | 0.6353 | 0.7939 | 0.7829 | 0.2532 | 0.5627 | 0.4708 | 0.5540 | 0.3797 | 0.3067 | 0.6191 | 0.5750 | 0.4723 | 2015 | 原 | 0.9854 | 0.9367 | 0.9873 | 0.9836 | 0.7994 | 0.9146 | 0.8719 | 0.9160 | 0.7731 | 0.6982 | 0.9156 | 0.9176 | 0.8183 | 新 | 0.7682 | 0.5963 | 0.8137 | 0.7917 | 0.4115 | 0.5861 | 0.5281 | 0.5961 | 0.3889 | 0.3019 | 0.5833 | 0.5873 | 0.4547 | 2016 | 原 | 0.9886 | 0.9490 | 0.9781 | 0.9867 | 0.7982 | 0.9274 | 0.8444 | 0.9292 | 0.7908 | 0.6964 | 0.9424 | 0.9175 | 0.8714 | 新 | 0.7870 | 0.6257 | 0.7564 | 0.8085 | 0.3862 | 0.6110 | 0.4765 | 0.6189 | 0.4065 | 0.2861 | 0.6457 | 0.5805 | 0.5280 | 2017 | 原 | 0.9685 | 0.9876 | 0.9664 | 0.9589 | 0.8336 | 0.9242 | 0.8532 | 0.8893 | 0.8293 | 0.7264 | 0.9375 | 0.9241 | 0.8514 | 新 | 0.6527 | 0.8079 | 0.7122 | 0.6842 | 0.4381 | 0.6124 | 0.4857 | 0.5479 | 0.4504 | 0.3052 | 0.6292 | 0.5920 | 0.4896 |
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