Table 3 Assessment results of PPP suitability in China’s cities.
From: Developing a suitability assessment model for Public Private Partnerships: a case in urban China
City | T | City | T | City | T | City | T | City | T | City | T |
---|---|---|---|---|---|---|---|---|---|---|---|
Beijing | 0.6623 | Urumqi | 0.2532 | Yan’an | 0.1881 | Tongling | 0.1482 | Lijiang | 0.1247 | Fangchenggang | 0.0993 |
Shanghai | 0.5271 | Wenzhou | 0.2511 | Huaian | 0.1878 | Lu’an | 0.1479 | Shiyan | 0.1240 | Hegang | 0.0988 |
Shenzhen | 0.4518 | Xuzhou | 0.2472 | Yinchuan | 0.1873 | Daqing | 0.1475 | Huainan | 0.1237 | Ya’an | 0.0986 |
Guangzhou | 0.4328 | Hengshui | 0.2467 | Zhoukou | 0.1856 | Leshan | 0.1471 | Yangjiang | 0.1233 | Bayannaoer | 0.0985 |
Jining | 0.4282 | Liaocheng | 0.2451 | Ningde | 0.1840 | Chuzhou | 0.1462 | Jingdezhen | 0.1230 | Yangquan | 0.0982 |
Quanzhou | 0.4274 | Shijiazhuang | 0.2444 | Longyan | 0.1832 | Weinan | 0.1445 | Xinyu | 0.1229 | Jinzhou | 0.0981 |
Wuhan | 0.4154 | Shenyang | 0.2443 | Baoshan | 0.1809 | Sanming | 0.1443 | yingtan | 0.1228 | Zhaotong | 0.0970 |
Heze | 0.4104 | Nantong | 0.2395 | Taizhou | 0.1808 | Changzhi | 0.1438 | Datong | 0.1226 | Yunfu | 0.0969 |
chongqing | 0.4076 | Zunyi | 0.2383 | Zhuhai | 0.1803 | Bengbu | 0.1432 | Xining | 0.1221 | Dazhou | 0.0967 |
Suzhou | 0.3954 | Anqing | 0.2356 | Meishan | 0.1798 | Jingzhou | 0.1420 | Panzhihua | 0.1219 | Xianyang | 0.0966 |
Kunming | 0.3952 | Yuxi | 0.2350 | Pu’er | 0.1794 | Liuzhou | 0.1410 | Ziyang | 0.1216 | Jiuquan | 0.0964 |
Chengdu | 0.3945 | Hefei | 0.2344 | Zhumadian | 0.1794 | Lhasa | 0.1405 | Ezhou | 0.1210 | Guigang | 0.0949 |
Tianjin | 0.3853 | Jingmen | 0.2339 | Yancheng | 0.1780 | Guangyuan | 0.1403 | Loudi | 0.1206 | Yichun | 0.0948 |
Luoyang | 0.3832 | Tongchuan | 0.2334 | Huangshi | 0.1766 | Fuzhou | 0.1382 | Liaoyang | 0.1204 | Jinchang | 0.0946 |
Qingdao | 0.3821 | Changzhou | 0.2327 | Dezhou | 0.1760 | Zhangjiakou | 0.1378 | Sanmenxia | 0.1200 | Shanwei | 0.0946 |
Nanjing | 0.3761 | Bijie | 0.2323 | Nanping | 0.1757 | Wuzhou | 0.1378 | Meizhou | 0.1194 | Qitaihe | 0.0945 |
Nanyang | 0.3676 | Baoding | 0.2321 | Zhenjiang | 0.1756 | Hulunbuir | 0.1369 | Wuzhong | 0.1194 | Jieyang | 0.0942 |
Hangzhou | 0.3674 | Xiamen | 0.2315 | Tongliao | 0.1755 | Lianyungang | 0.1364 | Maozhou | 0.1192 | Hanzhong | 0.0931 |
Zhengzhou | 0.3458 | Jiaxing | 0.2309 | Xinyang | 0.1749 | Huangshan | 0.1358 | Guilin | 0.1181 | Baise | 0.0917 |
Xi’an | 0.3438 | Huizhou | 0.2288 | Bazhong | 0.1741 | Shangrao | 0.1352 | Nanchong | 0.1180 | Zigong | 0.0909 |
Yibin | 0.3438 | Fuyang | 0.2228 | Hengyang | 0.1725 | Linfen | 0.1349 | Baiying | 0.1178 | Baoji | 0.0898 |
Fuzhou | 0.3380 | Xuancheng | 0.2220 | Suqian | 0.1703 | Zhoushan | 0.1349 | Jincheng | 0.1175 | Baicheng | 0.0895 |
Ningbo | 0.3360 | Shaoxing | 0.2210 | Yichun | 0.1702 | Xinzhou | 0.1349 | Luohe | 0.1174 | Suizhou | 0.0889 |
Changsha | 0.3326 | Yangzhou | 0.2165 | Luliang | 0.1699 | Anyang | 0.1348 | Guang’an | 0.1173 | Jiamusi | 0.0884 |
Chifeng | 0.3185 | Zibo | 0.2143 | Panjin | 0.1691 | Anshan | 0.1343 | Yongzhou | 0.1170 | Qinzhou | 0.0879 |
Dongguan | 0.3158 | Xianning | 0.2126 | Wuhu | 0.1677 | Shaoyang | 0.1341 | Pingliang | 0.1164 | Fuxin | 0.0871 |
Xiangyang | 0.3153 | Dongying | 0.2123 | Sanya | 0.1677 | yingkou | 0.1338 | Zhanjiang | 0.1146 | Chaozhou | 0.0867 |
Ganzhou | 0.3137 | Liupanshui | 0.2109 | Putian | 0.1665 | huanggang | 0.1337 | Yiyang | 0.1137 | Qiqihar | 0.0859 |
Taizhou | 0.3107 | Handan | 0.2082 | Xiangtan | 0.1660 | Zhuzhou | 0.1331 | Suzhou | 0.1135 | Ulanqab | 0.0857 |
Wuxi | 0.3105 | Jinhua | 0.2054 | Hohhot | 0.1660 | Qinhuangdao | 0.1331 | Yulin | 0.1133 | Zhangjiajie | 0.0852 |
Nanning | 0.3030 | Baotou | 0.2041 | Shangqiu | 0.1658 | Jiujiang | 0.1331 | Shuozhou | 0.1123 | Shizuishan | 0.0839 |
Guiyang | 0.3023 | Harbin | 0.2038 | Jinzhong | 0.1658 | Huaibei | 0.1328 | Huaihua | 0.1115 | Jixi | 0.0839 |
Tangshan | 0.2995 | Taiyuan | 0.2029 | Shantou | 0.1650 | Luzhou | 0.1326 | Shaoguan | 0.1107 | Hezhou | 0.0828 |
Jiangmen | 0.2993 | sunshine | 0.1998 | Wuhai | 0.1643 | Jiayuguan | 0.1314 | Heihe | 0.1103 | Hechi | 0.0819 |
Zhangzhou | 0.2884 | Jilin | 0.1995 | Jiaozuo | 0.1630 | Tonghua | 0.1308 | Fushun | 0.1094 | Shuangya Mountain | 0.0813 |
Pingdingshan | 0.2858 | Chengde | 0.1990 | Puyang | 0.1627 | Chongzuo | 0.1308 | Longnan | 0.1093 | Dingxi | 0.0806 |
Foshan | 0.2786 | Chizhou | 0.1989 | Ma’an Shan | 0.1606 | Neijiang | 0.1304 | Dandong | 0.1086 | Qingyang | 0.0803 |
Cangzhou | 0.2755 | Zhongshan | 0.1983 | Quzhou | 0.1592 | Shangluo | 0.1303 | Qingyuan | 0.1081 | Zhangye | 0.0799 |
Yeosu | 0.2726 | Ordos | 0.1978 | Binzhou | 0.1577 | Qujing | 0.1294 | Tongren | 0.1071 | Guyuan | 0.0798 |
Yichang | 0.2714 | Siping | 0.1944 | Chenzhou | 0.1574 | Zhaoqing | 0.1287 | Hebi | 0.1066 | Tieling | 0.0780 |
Weifang | 0.2709 | Changde | 0.1944 | Langfang | 0.1554 | Zaozhuang | 0.1279 | Beihai | 0.1063 | Tianshui | 0.0753 |
Kaifeng | 0.2708 | Yueyang | 0.1933 | Xinxiang | 0.1541 | Maoming | 0.1274 | Heyuan | 0.1052 | Wuwei | 0.0745 |
Changchun | 0.2673 | Nanchang | 0.1928 | Yuncheng | 0.1523 | Gian | 0.1273 | Ankang | 0.1020 | Suihua | 0.0740 |
Linyi | 0.2662 | Xuchang | 0.1923 | Pingxiang | 0.1515 | Mianyang | 0.1270 | Huludao | 0.1018 | Liaoyuan | 0.0738 |
Jinan | 0.2657 | Huzhou | 0.1921 | Yulin | 0.1508 | Baishan | 0.1267 | Mudanjiang | 0.1016 | Laibing | 0.0710 |
Dalian | 0.2650 | Tai’an | 0.1917 | Anshun | 0.1496 | Benxi | 0.1264 | Matsubara | 0.1011 | Haidong | 0.0647 |
Yantai | 0.2581 | Weihai | 0.1912 | Xiaogan | 0.1495 | Lincang | 0.1254 | Chaoyang | 0.1010 | Zhongwei | 0.0573 |
Haikou | 0.2537 | Xingtai | 0.1902 | Lanzhou | 0.1483 | Deyang | 0.1252 | Suining | 0.1007 |