Table 4 Results of clogit models by different subgroups
Attribute | 3-year medical education colleges (n = 112) | 5-year medical education university(n = 149) | ||||||
β | SE | P | WTP(CNY) | β | SE | P | WTP(CNY) | |
Bianzhi (ref:no) | 0.720 | 0.086 | 0.000 | 2105.7 | 0.234 | 0.070 | 0.001 | 757.5 |
Location(ref: Township or village) | ||||||||
 County | 0.889 | 0.142 | 0.000 | 2600.6 | 0.759 | 0.114 | 0.000 | 2458.0 |
 City | 1.012 | 0.126 | 0.000 | 2960.0 | 0.950 | 0.103 | 0.000 | 3075.9 |
Career development (ref: insufficient) | ||||||||
 Some | 0.706 | 0.140 | 0.000 | 2063.8 | 0.559 | 0.114 | 0.000 | 1812.2 |
 Sufficient | 1.192 | 0.139 | 0.000 | 3487.6 | 1.051 | 0.108 | 0.000 | 3406.1 |
Working environment (ref: Poor) | ||||||||
 Normal | 0.248 | 0.216 | 0.251 | 724.8 | 0.223 | 0.167 | 0.182 | 721.7 |
 Excellent | 0.265 | 0.201 | 0.188 | 775.0 | 0.534 | 0.160 | 0.001 | 1731.4 |
Workload(ref: Heavy) | ||||||||
 Medium | 0.049 | 0.130 | 0.706 | 143.7 | 0.286 | 0.110 | 0.009 | 925.3 |
 Light | 0.152 | 0.120 | 0.205 | 445.0 | 0.304 | 0.102 | 0.003 | 984.8 |
 Monthly income | 0.000342 | 0.0000234 | 0.000 |  | 0.000309 | 0.0000196 | 0.000 |  |
Attribute | Urban(n = 109) | Rural(n = 152) | ||||||
β | SE | P | WTP(CNY) | β | SE | P | WTP(CNY) | |
Bianzhi (ref:no) | 0.353 | 0.083 | 0.000 | 1211.1 | 0.531 | 0.073 | 0.000 | 1522.1 |
Location(ref: Township or village) | ||||||||
 County | 0.999 | 0.132 | 0.000 | 3427.9 | 0.643 | 0.123 | 0.000 | 1844.2 |
 City | 1.269 | 0.120 | 0.000 | 4353.6 | 0.736 | 0.108 | 0.000 | 2110.0 |
Career development (ref: insufficient) | ||||||||
 Some | 0.520 | 0.137 | 0.000 | 1785.3 | 0.724 | 0.117 | 0.000 | 2075.4 |
 Sufficient | 1.008 | 0.122 | 0.000 | 3459.1 | 1.171 | 0.120 | 0.000 | 3358.2 |
Working environment (ref: Poor) | ||||||||
 Normal | 0.268 | 0.201 | 0.183 | 919.4 | 0.181 | 0.177 | 0.307 | 519.0 |
 Excellent | 0.257 | 0.181 | 0.155 | 881.7 | 0.620 | 0.176 | 0.000 | 1779.2 |
Workload(ref: Heavy) | ||||||||
 Medium | 0.196 | 0.122 | 0.107 | 673.8 | 0.160 | 0.117 | 0.170 | 459.8 |
 Light | 0.189 | 0.116 | 0.104 | 649.6 | 0.270 | 0.104 | 0.010 | 774.8 |
 Monthly income | 0.000291 | 0.0000224 | 0.000 |  | 0.000349 | 0.0000204 | 0.000 |  |
Attribute | Male(n = 93) | Female(n = 168) | ||||||
β | SE | P | WTP(CNY) | β | SE | P | WTP(CNY) | |
Bianzhi (ref:no) | 0.362 | 0.087 | 0.000 | 1161.8 | 0.476 | 0.068 | 0.000 | 1444.5 |
Location(ref: Township or village) | ||||||||
 County | 0.799 | 0.135 | 0.000 | 2564.5 | 0.825 | 0.119 | 0.000 | 2506.6 |
 City | 0.995 | 0.128 | 0.000 | 3196.7 | 0.967 | 0.102 | 0.000 | 2936.8 |
Career development (ref: insufficient) | ||||||||
 Some | 0.498 | 0.142 | 0.000 | 1600.8 | 0.689 | 0.112 | 0.000 | 2093.6 |
 Sufficient | 0.801 | 0.127 | 0.000 | 2571.6 | 1.283 | 0.115 | 0.000 | 3896.9 |
Working environment (ref: Poor) | ||||||||
 Normal | 0.127 | 0.211 | 0.547 | 408.3 | 0.289 | 0.169 | 0.088 | 876.8 |
 Excellent | 0.446 | 0.199 | 0.025 | 1433.5 | 0.408 | 0.159 | 0.010 | 1240.2 |
Workload(ref: Heavy) | ||||||||
 Medium | 0.096 | 0.130 | 0.458 | 309.6 | 0.233 | 0.109 | 0.032 | 709.1 |
 Light | 0.044 | 0.121 | 0.720 | 139.8 | 0.373 | 0.101 | 0.000 | 1132.3 |
 Monthly income | 0.000311 | 0.0000235 | 0.000 |  | 0.000329 | 0.0000197 | 0.000 |  |