国内耦合协调度模型的误区及修正
|
王淑佳, 孔伟, 任亮, 治丹丹, 戴彬婷
|
Research on misuses and modification of coupling coordination degree model in China
|
WANG Shu-jia, KONG Wei, REN Liang, ZHI Dan-dan, DAI Bin-ting
|
|
表9 原模型与修正后模型计算京津冀13市生态—经济协调发展度D值
|
Table 9 Comparation of D-values of eco-economic coordinated development degree in 13 cities of Beijing-Tianjin-Hebei Region between original model and modified model
|
|
年份/D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 | 0.5736 | 0.4999 | 0.4328 | 0.4457 | 0.4415 | 0.3926 | 0.3598 | 0.3867 | 0.3899 | 0.3779 | 0.4013 | 0.4038 | 0.3402 | 新 | 0.5565 | 0.4667 | 0.3390 | 0.3554 | 0.2931 | 0.2974 | 0.2520 | 0.2830 | 0.2693 | 0.2514 | 0.2964 | 0.2949 | 0.2453 | 2009 | 原 | 0.6145 | 0.5039 | 0.4588 | 0.4676 | 0.4480 | 0.4136 | 0.3964 | 0.4013 | 0.3956 | 0.4195 | 0.4078 | 0.4237 | 0.3474 | 新 | 0.5911 | 0.4957 | 0.3583 | 0.3711 | 0.2951 | 0.3061 | 0.2722 | 0.2918 | 0.2775 | 0.2746 | 0.3004 | 0.3007 | 0.2524 | 2010 | 原 | 0.6390 | 0.5257 | 0.4806 | 0.4920 | 0.4593 | 0.4402 | 0.4014 | 0.4291 | 0.4063 | 0.4322 | 0.4340 | 0.4335 | 0.3798 | 新 | 0.6337 | 0.4865 | 0.3796 | 0.3949 | 0.3037 | 0.3273 | 0.2783 | 0.3127 | 0.2903 | 0.2759 | 0.3226 | 0.3087 | 0.2676 | 2011 | 原 | 0.6761 | 0.5681 | 0.5003 | 0.5088 | 0.4734 | 0.4591 | 0.4109 | 0.4443 | 0.4052 | 0.4597 | 0.4415 | 0.4520 | 0.3817 | 新 | 0.6247 | 0.5087 | 0.4092 | 0.4216 | 0.3224 | 0.3441 | 0.2906 | 0.3246 | 0.2945 | 0.2914 | 0.3364 | 0.3304 | 0.2759 | 2012 | 原 | 0.6727 | 0.5914 | 0.5818 | 0.5309 | 0.5138 | 0.4614 | 0.4096 | 0.4494 | 0.4183 | 0.4713 | 0.4580 | 0.4723 | 0.3923 | 新 | 0.6540 | 0.5425 | 0.5803 | 0.4247 | 0.3132 | 0.3468 | 0.2945 | 0.3302 | 0.3033 | 0.2975 | 0.3519 | 0.3411 | 0.2826 | 2013 | 原 | 0.6747 | 0.5540 | 0.4727 | 0.4929 | 0.4590 | 0.4196 | 0.3839 | 0.4269 | 0.4304 | 0.4571 | 0.4396 | 0.4413 | 0.3777 | 新 | 0.5985 | 0.4406 | 0.4301 | 0.4476 | 0.3156 | 0.3421 | 0.2902 | 0.3292 | 0.3095 | 0.2944 | 0.3555 | 0.3505 | 0.2771 | 2014 | 原 | 0.6784 | 0.5791 | 0.4944 | 0.4985 | 0.5074 | 0.4445 | 0.3973 | 0.4274 | 0.4216 | 0.4539 | 0.4399 | 0.4465 | 0.3820 | 新 | 0.6281 | 0.4739 | 0.4442 | 0.4453 | 0.3116 | 0.3515 | 0.2995 | 0.3369 | 0.2989 | 0.3014 | 0.3595 | 0.3556 | 0.2889 | 2015 | 原 | 0.6983 | 0.5914 | 0.5201 | 0.5149 | 0.4621 | 0.4639 | 0.4067 | 0.4387 | 0.4444 | 0.4682 | 0.4800 | 0.4805 | 0.4083 | 新 | 0.6165 | 0.4718 | 0.4722 | 0.4620 | 0.3315 | 0.3713 | 0.3165 | 0.3539 | 0.3152 | 0.3079 | 0.3831 | 0.3844 | 0.3044 | 2016 | 原 | 0.7283 | 0.6111 | 0.5472 | 0.5302 | 0.5140 | 0.4725 | 0.4428 | 0.4591 | 0.4498 | 0.4936 | 0.4801 | 0.5010 | 0.4044 | 新 | 0.6498 | 0.4962 | 0.4812 | 0.4800 | 0.3575 | 0.3835 | 0.3327 | 0.3747 | 0.3225 | 0.3163 | 0.3974 | 0.3986 | 0.3148 | 2017 | 原 | 0.7524 | 0.5727 | 0.5155 | 0.5220 | 0.5022 | 0.4419 | 0.4522 | 0.4342 | 0.4582 | 0.5128 | 0.4945 | 0.5110 | 0.4333 | 新 | 0.6177 | 0.5179 | 0.4426 | 0.4409 | 0.3641 | 0.3597 | 0.3411 | 0.3408 | 0.3377 | 0.3324 | 0.4051 | 0.4090 | 0.3286
|
|
|
|