中国区域投入产出效率的综合测度与时空格局
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宋周莺, 康蕾, 刘毅
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Spatio-temporal analysis of provincial input-output efficiency in China
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Zhouying SONG, Lei KANG, Yi LIU
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表2 基于Super-CCR模型的1995-2015年中国投入产出效率评价结果 |
Tab. 2 The input-output efficiency of provinces in China based on Super-CCR model, 1995-2015 |
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DMU | 1995年 | | 2000年 | | 2005年 | | 2010年 | | 2015年 | Score | Rank | Score | Rank | Score | Rank | Score | Rank | Score | Rank | 北京 | 1.8996 | 4 | | 1.6290 | 5 | | 1.7783 | 4 | | 2.1187 | 3 | | 2.2354 | 3 | 天津 | 1.1805 | 12 | | 2.1003 | 3 | | 1.8765 | 3 | | 2.6745 | 2 | | 2.6102 | 2 | 河北 | 1.1131 | 15 | | 1.1051 | 13 | | 1.0473 | 11 | | 1.1227 | 10 | | 1.0271 | 16 | 山西 | 0.9354 | 22 | | 0.8840 | 24 | | 0.9969 | 13 | | 0.9630 | 15 | | 0.7515 | 27 | 内蒙古 | 0.8566 | 27 | | 1.0261 | 16 | | 0.8079 | 21 | | 1.2056 | 8 | | 1.1021 | 12 | 辽宁 | 1.0513 | 19 | | 1.1845 | 10 | | 0.9021 | 17 | | 0.9927 | 14 | | 1.0861 | 13 | 吉林 | 0.9808 | 21 | | 1.0163 | 17 | | 0.8301 | 19 | | 0.8182 | 21 | | 0.8867 | 21 | 黑龙江 | 1.2809 | 8 | | 1.2846 | 7 | | 0.9934 | 14 | | 0.6442 | 29 | | 0.7601 | 26 | 上海 | 2.1383 | 3 | | 1.8469 | 4 | | 1.5113 | 7 | | 1.6870 | 5 | | 1.4638 | 6 | 江苏 | 1.2089 | 10 | | 1.0726 | 14 | | 1.0536 | 10 | | 1.1072 | 12 | | 1.2170 | 9 | 浙江 | 1.2202 | 9 | | 1.1561 | 11 | | 1.0614 | 9 | | 1.1207 | 11 | | 1.2136 | 10 | 安徽 | 0.9102 | 24 | | 0.8977 | 23 | | 0.6558 | 29 | | 0.7523 | 24 | | 0.8119 | 25 | 福建 | 1.1874 | 11 | | 1.2592 | 8 | | 1.2525 | 8 | | 1.0690 | 13 | | 1.0690 | 15 | 江西 | 1.0583 | 18 | | 0.9967 | 18 | | 0.7866 | 23 | | 0.9110 | 16 | | 0.9424 | 19 | 山东 | 1.1652 | 13 | | 1.2071 | 9 | | 1.5888 | 5 | | 1.4173 | 7 | | 1.3969 | 7 | 河南 | 1.1266 | 14 | | 1.0383 | 15 | | 0.9863 | 16 | | 1.1404 | 9 | | 1.1361 | 11 | 湖北 | 0.8347 | 28 | | 0.9285 | 21 | | 0.9872 | 15 | | 0.7777 | 22 | | 0.9651 | 18 | 湖南 | 1.0358 | 20 | | 0.9638 | 19 | | 0.8506 | 18 | | 0.8686 | 19 | | 1.0814 | 14 | 广东 | 1.3497 | 6 | | 1.5800 | 6 | | 1.5814 | 6 | | 1.4863 | 6 | | 1.5186 | 5 | 广西 | 1.1044 | 16 | | 0.9475 | 20 | | 0.7541 | 24 | | 0.8444 | 20 | | 1.2868 | 8 | 海南 | 5.4019 | 1 | | 20.7961 | 1 | | 21.6711 | 1 | | 15.8943 | 1 | | 16.7966 | 1 | 重庆 | - | - | | 0.9024 | 22 | | 0.8226 | 20 | | 0.7445 | 25 | | 0.8653 | 23 | 四川 | 1.8328 | 5 | | 0.8246 | 25 | | 0.8032 | 22 | | 0.8701 | 18 | | 0.8732 | 22 | 贵州 | 0.9338 | 23 | | 0.7446 | 28 | | 0.6834 | 28 | | 0.7748 | 23 | | 0.8885 | 20 | 云南 | 1.2860 | 7 | | 1.1271 | 12 | | 1.0437 | 12 | | 0.7150 | 27 | | 0.8406 | 24 | 陕西 | 0.8728 | 26 | | 0.7604 | 27 | | 0.7507 | 25 | | 0.9054 | 17 | | 1.0176 | 17 | 甘肃 | 0.7555 | 29 | | 0.6644 | 30 | | 0.7320 | 27 | | 0.6554 | 28 | | 0.5365 | 30 | 青海 | 2.5956 | 2 | | 2.3932 | 2 | | 2.9437 | 2 | | 1.8926 | 4 | | 2.2157 | 4 | 宁夏 | 0.8867 | 25 | | 0.7151 | 29 | | 0.5733 | 30 | | 0.5689 | 30 | | 0.6959 | 29 | 新疆 | 1.0751 | 17 | | 0.7684 | 26 | | 0.7434 | 26 | | 0.7272 | 26 | | 0.7036 | 28 | 平均值 | 1.3544 | - | | 1.7940 | | | 1.7690 | - | | 1.5823 | - | | 1.6665 | - |
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