PROGRESS IN GEOGRAPHY ›› 2016, Vol. 35 ›› Issue (8): 932-940.doi: 10.18306/dlkxjz.2016.08.002
• Orginal Article • Previous Articles Next Articles
Fajian LIU1(), Dongdong CHEN2, Jianhua ZHU3, Zang QIAN1, Binbin LI1
Online:
2016-08-25
Published:
2016-08-25
Supported by:
Fajian LIU, Dongdong CHEN, Jianhua ZHU, Zang QIAN, Binbin LI. Structure and interaction of China's inter-provincial inbound tourism market: A 2-mode network analysis[J].PROGRESS IN GEOGRAPHY, 2016, 35(8): 932-940.
Tab.1
Inbound tourism affiliated matrix of some Chinese provinces to 16 source countries
日本 | 韩国 | 马来西亚 | 菲律宾 | 新加坡 | 泰国 | 美国 | 加拿大 | 英国 | 法国 | 德国 | 俄罗斯 | 澳大利亚 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
北京 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
天津 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
河北 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
… | … | … | … | … | … | … | … | … | … | … | … | … | … |
甘肃 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
青海 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 |
宁夏 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
新疆 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
Tab.2
Centralities results of provinces and source countries
省份或客源国 | 程度中心度 | 接近中心度 | 中间中心度 | 省份或客源国 | 程度中心度 | 接近中心度 | 中间中心度 |
---|---|---|---|---|---|---|---|
北京 | 0.308 | 0.811 | 0.004 | 四川 | 0.538 | 0.869 | 0.039 |
天津 | 0.231 | 0.793 | 0.001 | 贵州 | 0.538 | 0.869 | 0.021 |
河北 | 0.615 | 0.913 | 0.046 | 云南 | 0.308 | 0.760 | 0.011 |
山西 | 0.462 | 0.849 | 0.014 | 西藏 | 0.154 | 0.702 | 0.001 |
内蒙古 | 0.077 | 0.500 | 0.000 | 陕西 | 0.231 | 0.793 | 0.001 |
辽宁 | 0.308 | 0.811 | 0.013 | 甘肃 | 0.462 | 0.849 | 0.031 |
吉林 | 0.231 | 0.793 | 0.008 | 青海 | 0.538 | 0.869 | 0.043 |
黑龙江 | 0.154 | 0.745 | 0.004 | 宁夏 | 0.385 | 0.830 | 0.008 |
上海 | 0.231 | 0.793 | 0.001 | 新疆 | 0.154 | 0.777 | 0.005 |
江苏 | 0.231 | 0.793 | 0.001 | 日本 | 0.710 | 0.775 | 0.149 |
浙江 | 0.231 | 0.793 | 0.001 | 韩国 | 0.839 | 0.873 | 0.258 |
安徽 | 0.385 | 0.830 | 0.009 | 马来西亚 | 0.355 | 0.579 | 0.036 |
福建 | 0.308 | 0.793 | 0.005 | 菲律宾 | 0.000 | 0.000 | 0.000 |
江西 | 0.385 | 0.830 | 0.010 | 新加坡 | 0.387 | 0.591 | 0.044 |
山东 | 0.231 | 0.793 | 0.001 | 泰国 | 0.097 | 0.455 | 0.001 |
河南 | 0.462 | 0.869 | 0.030 | 美国 | 0.806 | 0.846 | 0.228 |
湖北 | 0.462 | 0.793 | 0.027 | 加拿大 | 0.065 | 0.447 | 0.000 |
湖南 | 0.385 | 0.830 | 0.010 | 英国 | 0.226 | 0.534 | 0.012 |
广东 | 0.308 | 0.811 | 0.004 | 法国 | 0.226 | 0.534 | 0.011 |
广西 | 0.385 | 0.830 | 0.020 | 德国 | 0.355 | 0.579 | 0.036 |
海南 | 0.308 | 0.793 | 0.012 | 俄罗斯 | 0.258 | 0.524 | 0.064 |
重庆 | 0.462 | 0.849 | 0.030 | 澳大利亚 | 0.065 | 0.455 | 0.000 |
Tab.4
The scores of provinces on each factor
维度 | 省份 | 维中得分 | 维度 | 省份 | 维中得分 | ||||
---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 1 | 2 | 3 | ||||
1 | 天津 | 0.231 | -0.154 | 0.028 | 1 | 云南 | 0.101 | -0.058 | 0.047 |
河北 | 0.148 | 0.006 | 0.065 | 青海 | 0.150 | -0.094 | 0.134 | ||
山西 | 0.208 | -0.097 | -0.175 | 2 | 新疆 | 0.155 | 0.345 | 0.168 | |
辽宁 | 0.223 | 0.062 | -0.074 | 内蒙古 | 0.120 | 0.407 | 0.131 | ||
上海 | 0.153 | -0.098 | 0.140 | 黑龙江 | 0.250 | 0.645 | 0.092 | ||
江苏 | 0.190 | -0.124 | 0.069 | 海南 | 0.130 | -0.062 | 0.016 | ||
浙江 | 0.107 | -0.055 | 0.062 | 3 | 北京 | 0.148 | -0.062 | 0.168 | |
安徽 | 0.259 | -0.109 | -0.195 | 福建 | 0.144 | -0.116 | 0.294 | ||
江西 | 0.122 | -0.040 | 0.119 | 湖北 | 0.143 | -0.116 | 0.301 | ||
河南 | 0.198 | -0.066 | -0.012 | 广东 | 0.113 | -0.073 | 0.145 | ||
广西 | 0.106 | -0.062 | 0.016 | 重庆 | 0.148 | -0.102 | 0.161 | ||
陕西 | 0.115 | -0.060 | 0.057 | 四川 | 0.139 | -0.103 | 0.195 | ||
甘肃 | 0.187 | -0.115 | 0.080 | 贵州 | 0.129 | -0.089 | 0.189 | ||
湖南 | 0.254 | -0.116 | -0.296 | 西藏 | 0.096 | -0.038 | 0.174 | ||
山东 | 0.305 | -0.113 | -0.385 | 宁夏 | 0.131 | -0.090 | 0.136 | ||
吉林 | 0.335 | 0.201 | -0.412 |
Tab.5
The scores of inbound tourism source countries on each factor
维度 | 客源国 | 维中得分 | 维度 | 客源国 | 维中得分 | ||||
---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 1 | 2 | 3 | ||||
1 | 日本 | 0.375 | -0.238 | 0.326 | 3 | 马来西亚 | 0.145 | -0.091 | 0.180 |
韩国 | 0.694 | -0.145 | -0.696 | 澳大利亚 | 0.091 | -0.055 | 0.134 | ||
菲律宾 | 0.037 | -0.022 | 0.030 | 美国 | 0.340 | -0.231 | 0.484 | ||
新加坡 | 0.152 | -0.067 | 0.150 | 加拿大 | 0.096 | -0.053 | 0.126 | ||
法国 | 0.130 | -0.073 | 0.106 | 英国 | 0.126 | -0.079 | 0.141 | ||
德国 | 0.152 | -0.080 | 0.123 | 泰国 | 0.069 | -0.046 | 0.083 | ||
2 | 俄罗斯 | 0.371 | 0.911 | 0.178 |
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