中国人口健康脆弱性地区差异与影响因素分析
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杨振, 丁启燕, 王念, 刘会敏
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Distribution Characteristics of Health Vulnerability and Its Influence Factors in China
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Zhen Yang, Qiyan Ding, Nian Wang, Huimin Liu
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| 表2 各省区人口健康脆弱性、敏感性与应对性指数差异 |
| Table 2 The provincial differences of population health vulnerability, sensitivity and response index |
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| 地区 | 脆弱性指数 | 排序 | 敏感性指数 | 排序 | 应对性指数 | 排序 | 地区 | 脆弱性指数 | 排序 | 敏感性指数 | 排序 | 应对性指数 | 排序 | | 贵州 | 0.6289 | 1 | 0.5632 | 6 | 0.3293 | 27 | 湖北 | 0.5331 | 17 | 0.4113 | 17 | 0.3909 | 18 | | 新疆 | 0.6089 | 2 | 0.6730 | 3 | 0.4464 | 14 | 广东 | 0.4984 | 18 | 0.3676 | 24 | 0.4094 | 17 | | 甘肃 | 0.6029 | 3 | 0.5505 | 7 | 0.3647 | 23 | 陕西 | 0.4978 | 19 | 0.4261 | 12 | 0.4542 | 13 | | 河南 | 0.5947 | 4 | 0.4034 | 18 | 0.2954 | 31 | 青海 | 0.4937 | 20 | 0.6866 | 1 | 0.6288 | 3 | | 云南 | 0.5905 | 5 | 0.4859 | 8 | 0.3444 | 26 | 黑龙江 | 0.4928 | 21 | 0.3629 | 27 | 0.4177 | 16 | | 安徽 | 0.5816 | 6 | 0.4228 | 13 | 0.3242 | 28 | 重庆 | 0.4925 | 22 | 0.4637 | 10 | 0.4880 | 10 | | 广西 | 0.5804 | 7 | 0.4128 | 16 | 0.3125 | 30 | 海南 | 0.4872 | 23 | 0.3714 | 22 | 0.4332 | 15 | | 西藏 | 0.5647 | 8 | 0.6769 | 2 | 0.5430 | 6 | 内蒙古 | 0.4698 | 24 | 0.5679 | 5 | 0.6001 | 5 | | 四川 | 0.5639 | 9 | 0.4550 | 11 | 0.3684 | 22 | 浙江 | 0.4685 | 25 | 0.3636 | 25 | 0.4606 | 12 | | 山西 | 0.5606 | 10 | 0.4765 | 9 | 0.3802 | 19 | 吉林 | 0.4654 | 26 | 0.4173 | 15 | 0.5008 | 8 | | 山东 | 0.5498 | 11 | 0.4184 | 14 | 0.3684 | 21 | 辽宁 | 0.4468 | 27 | 0.3693 | 23 | 0.4928 | 9 | | 宁夏 | 0.5447 | 12 | 0.6367 | 4 | 0.5222 | 7 | 江苏 | 0.4138 | 28 | 0.2919 | 30 | 0.4845 | 11 | | 湖南 | 0.5410 | 13 | 0.3860 | 20 | 0.3574 | 24 | 天津 | 0.3821 | 29 | 0.3807 | 21 | 0.6169 | 4 | | 河北 | 0.5391 | 14 | 0.3632 | 26 | 0.3449 | 25 | 上海 | 0.3303 | 30 | 0.3134 | 29 | 0.6575 | 2 | | 江西 | 0.5365 | 15 | 0.3139 | 28 | 0.3139 | 29 | 北京 | 0.2269 | 31 | 0.2218 | 31 | 0.7694 | 1 | | 福建 | 0.5343 | 16 | 0.3960 | 19 | 0.3781 | 20 | 平均值 | 0.5104 | - | 0.4403 | - | 0.4451 | - |
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