Research Article
The Impact of Spatial Structure on Economic Efficiency of Beijing-Tianjin-Hebei Megalopolis in China
Table 3
Results of dispersion degree of Beijing-Tianjin-Hebei Metropolitan (2008–2017).
| Cities | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Mean |
| Beijing | 0.405 | 0.405 | 0.403 | 0.405 | 0.407 | 0.628 | 0.628 | 0.629 | 0.635 | 0.642 | 0.519 | Tianjin | 0.672 | 0.686 | 0.689 | 0.699 | 0.715 | 0.667 | 0.667 | 0.684 | 0.685 | 0.685 | 0.685 | Shijiazhuang | 0.552 | 0.557 | 0.559 | 0.560 | 0.544 | 0.681 | 0.581 | 0.578 | 0.576 | 0.577 | 0.577 | Tangshan | 0.589 | 0.586 | 0.587 | 0.587 | 0.587 | 0.585 | 0.584 | 0.584 | 0.582 | 0.584 | 0.586 | Qinhuangdao | 0.514 | 0.514 | 0.519 | 0.520 | 0.519 | 0.520 | 0.517 | 0.510 | 0.512 | 0.549 | 0.519 | Handan | 0.666 | 0.664 | 0.664 | 0.665 | 0.667 | 0.661 | 0.660 | 0.660 | 0.678 | 0.678 | 0.666 | Xingtai | 0.903 | 0.905 | 0.906 | 0.906 | 0.905 | 0.909 | 0.900 | 0.900 | 0.898 | 0.900 | 0.903 | Baoding | 0.734 | 0.733 | 0.736 | 0.736 | 0.736 | 0.726 | 0.724 | 0.726 | 0.726 | 0.726 | 0.730 | Zhangjiakou | 0.708 | 0.709 | 0.710 | 0.712 | 0.720 | 0.713 | 0.713 | 0.713 | 0.708 | 0.735 | 0.714 | Chengde | 0.850 | 0.843 | 0.817 | 0.816 | 0.815 | 0.815 | 0.814 | 0.814 | 0.814 | 0.867 | 0.827 | Cangzhou | 0.887 | 0.886 | 0.887 | 0.886 | 0.881 | 0.883 | 0.888 | 0.887 | 0.886 | 0.884 | 0.886 | Langfang | 0.852 | 0.856 | 0.856 | 0.856 | 0.857 | 0.857 | 0.854 | 0.853 | 0.852 | 0.852 | 0.855 | Hengshui | 0.809 | 0.809 | 0.810 | 0.810 | 0.809 | 0.809 | 0.809 | 0.808 | 0.807 | 0.798 | 0.808 | SD | 0.134 | 0.134 | 0.132 | 0.132 | 0.132 | 0.102 | 0.107 | 0.107 | 0.106 | 0.105 | 0.119 | Max | 0.903 | 0.905 | 0.906 | 0.906 | 0.905 | 0.909 | 0.900 | 0.900 | 0.898 | 0.900 | 0.903 | Min | 0.405 | 0.405 | 0.403 | 0.405 | 0.407 | 0.520 | 0.517 | 0.510 | 0.512 | 0.549 | 0.463 | Mean | 0.703 | 0.704 | 0.703 | 0.704 | 0.705 | 0.727 | 0.718 | 0.719 | 0.720 | 0.729 | 0.713 |
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