PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (10): 1846-1858.doi: 10.18306/dlkxjz.2022.10.006
• Articles • Previous Articles Next Articles
DONG Yajing1,2(), LIN Liyue1,3,*(
), ZHU Yu3,4, KE Wenqian1,3, XIAO Baoyu1,3
Received:
2022-04-10
Revised:
2022-08-10
Online:
2022-10-28
Published:
2022-12-28
Contact:
LIN Liyue
E-mail:yajingdong0406@163.com;lly30@163.com
Supported by:
DONG Yajing, LIN Liyue, ZHU Yu, KE Wenqian, XIAO Baoyu. The floating population’s spatial capital in the places of origin and their housing choices in the destination cities[J].PROGRESS IN GEOGRAPHY, 2022, 41(10): 1846-1858.
Tab.1
Definition and descriptive statistics of variables
变量名称 | 变量解释 | 均值 | 标准差 |
---|---|---|---|
因变量:住房选择(Y) | |||
Y1为是否为产权房 | 产权房=1;非产权房=0 | 0.249 | 0.001 |
Y2为在非产权房中,是否为租住房 | 是,即租住房=1;否,即免费房=0 | 0.821 | 0.001 |
核心自变量 | |||
流出地城市规模(X1) | 中小城市=1;大城市=2;特/超大城市=3 | 1.388 | 0.002 |
流出地聚落等级(X2) | 农村=1;乡镇和县城=2;地级市=3;省会和直辖市=4 | 1.282 | 0.002 |
流出地人文发展指数(X3) | 连续变量 | 0.204 | 0.001 |
控制变量 | |||
个体特征 | |||
性别(X4) | 女=0;男=1 | 0.572 | 0.001 |
年龄(X5) | 连续变量(岁) | 35.247 | 0.028 |
婚姻状况(X6) | 单身=0;已婚=1 | 0.805 | 0.001 |
受教育年限(X7) | 数值型变量(a) | 10.226 | 0.009 |
家庭特征 | |||
同住家庭人数(X8) | 连续变量 | 3.103 | 0.003 |
职业类型(X9) | 白领人员=1;商业服务业人员=2;生产运输设备操作人员=3;其他人员=4 | 2.220 | 0.002 |
家庭月均收入对数(X10) | 连续变量 | 8.719 | 0.001 |
制度特征 | |||
住房限购政策(X11) | 无=0;有=1 | 0.471 | 0.001 |
市场特征 | |||
流出地房价(X12) | 连续变量(万元/m2) | 0.546 | 0.001 |
流出地人均GDP(X13) | 连续变量(万元) | 5.344 | 0.001 |
流入地房价(X14) | 连续变量(万元/m2) | 1.118 | 0.003 |
流入地人均GDP(X15) | 连续变量(万元) | 9.258 | 0.012 |
城市特征 | |||
流入地城市规模(X16) | 中小城市=1;大城市=2;特/超大城市=3 | 1.935 | 0.012 |
Tab.2
Spatial capital and housing choices of migrants (%)
住房选择 | 产权房 | 租住房 | 免费房 |
---|---|---|---|
整体 | 24.93 | 61.60 | 13.47 |
流出地城市规模 | |||
中小城市 | 23.13 | 63.17 | 13.70 |
大城市 | 28.86 | 58.19 | 12.95 |
特/超大城市 | 27.31 | 59.51 | 13.18 |
流出地聚落等级 | |||
农村 | 22.66 | 63.60 | 13.74 |
乡镇和县城 | 30.16 | 56.87 | 12.97 |
地级市 | 41.01 | 48.02 | 10.97 |
省会和直辖市 | 48.29 | 41.32 | 10.39 |
流出地人文发展指数* | |||
高 | 30.17 | 57.25 | 12.58 |
低 | 20.39 | 65.37 | 14.24 |
Tab.3
Factors influencing the housing choices of the migrants
因变量 | 模型1 | 模型2 | |||||
---|---|---|---|---|---|---|---|
是否为产权房 | 是否为租住房 | ||||||
系数(边际效应) | 优势比 | 系数(边际效应) | 优势比 | ||||
核心自变量 | 流出地城市规模(中小城市) | ||||||
大城市 | 0.162***(0.018) | 1.176 | -0.035(0.024) | 0.966 | |||
特/超大城市 | -0.487***(0.037) | 0.615 | 0.166***(0.046) | 1.180 | |||
流出地聚落等级(农村) | |||||||
乡镇和县城 | 0.121***(0.019) | 1.129 | -0.060**(0.025) | 0.942 | |||
地级市 | 0.395***(0.037) | 1.484 | -0.076(0.057) | 0.927 | |||
省会和直辖市 | 0.469***(0.060) | 1.598 | -0.066(0.094) | 0.936 | |||
流出地人文发展指数 | 3.327***(0.129) | 27.846 | 0.929***(0.174) | 2.532 | |||
控制变量 | |||||||
个体特征 | 性别(女) | -0.124***(0.015) | 0.884 | -0.025(0.019) | 0.976 | ||
年龄 | 0.020***(0.001) | 1.020 | -0.004***(0.001) | 0.996 | |||
婚姻状况(单身) | 0.804***(0.027) | 2.235 | 0.572***(0.029) | 1.771 | |||
受教育年限 | 0.143***(0.003) | 1.153 | 0.016***(0.004) | 1.016 | |||
社会经济特征 | 同住家庭成员人数 | 0.186***(0.007) | 1.204 | 0.096***(0.010) | 1.101 | ||
职业类型(白领人员) | |||||||
商业服务业人员 | -0.378***(0.023) | 0.685 | 0.706***(0.031) | 2.026 | |||
生产运输设备操作人员 | -0.612***(0.029) | 0.543 | -0.262***(0.033) | 0.770 | |||
其他就业人员 | 0.071**(0.033) | 1.073 | -0.010 (0.041) | 0.990 | |||
家庭月均收入对数 | 0.543***(0.015) | 1.722 | 0.219***(0.015) | 1.245 | |||
制度特征 | 住房限购政策(否) | -0.027(0.021) | 0.973 | -0.241***(0.026) | 0.786 | ||
市场特征 | 流出地房价 | -0.668***(0.017) | 0.512 | 0.204***(0.017) | 1.226 | ||
流出地城市人均GDP | -0.031***(0.003) | 0.970 | 0.002(0.004) | 1.002 | |||
流入地房价 | -0.132***(0.034) | 0.876 | -0.086*(0.048) | 0.917 | |||
流入地城市人均GDP | 0.009**(0.004) | 0.876 | -0.026***(0.005) | 0.975 | |||
城市特征 | 流入地城市规模(中小城市) | ||||||
大城市 | -0.019(0.019) | 0.981 | 0.418***(0.025) | 1.519 | |||
特/超大城市 | 0.528***(0.030) | 1.695 | 0.025(0.036) | 1.025 | |||
-2倍对数似然值 | -58237.477 | -39419.195 | |||||
伪R2 | 0.123 | 0.056 | |||||
样本量 | 118215 | 88737 |
Tab.4
Robustness test results
模型3 | 模型4 | ||||||
---|---|---|---|---|---|---|---|
因变量 | 是否为产权房 | 是否为租住房 | |||||
系数(边际效应) | 优势比 | 系数(边际效应) | 优势比 | ||||
核心自变量 | 流出地城市规模(中小城市) | ||||||
大城市 | 0.168***(0.019) | 1.183 | -0.017(0.025) | 0.983 | |||
特/超大城市 | -0.473***(0.038) | 0.623 | 0.222***(0.047) | 1.249 | |||
流出地聚落等级(农村) | |||||||
乡镇和县城 | 0.126***(0.020) | 1.134 | -0.069***(0.026) | 0.933 | |||
地级市 | 0.416***(0.039) | 1.516 | -0.051(0.060) | 0.950 | |||
省会和直辖市 | 0.491***(0.061) | 1.634 | -0.094(0.098) | 0.911 | |||
流出地人文发展指数 | 3.026***(0.134) | 20.607 | 0.786***(0.183) | 2.195 | |||
控制变量 | 已控制 | 已控制 | |||||
-2倍对数似然值 | -54917.202 | -36219.200 | |||||
伪R2 | 0.124 | 0.059 | |||||
样本量 | 112865 | 82240 |
Tab.5
Heterogeneity test
因变量 | 是否为产权房 | 是否为租住房 | 是否为产权房 | 是否为租住房 | 是否为产权房 | 是否为租住房 | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
模型5A | 模型5B | 模型5C | 模型5D | 模型6A | 模型6B | 模型6C | 模型6D | 模型7A | 模型7B | 模型7C | 模型7D | |||||||||||
群体 | 老生代 | 新生代 | 老生代 | 新生代 | 低教育水平 | 高教育水平 | 低教育水平 | 高教育水平 | 低收入水平 | 高收入水平 | 低收入水平 | 高收入水平 | ||||||||||
核心自变量 | ||||||||||||||||||||||
流出地城市规模(中小城市) | ||||||||||||||||||||||
大城市 | 0.122*** | 0.195*** | -0.065* | -0.024 | 0.184*** | 0.079** | -0.023 | -0.076 | 0.104*** | 0.220*** | -0.115*** | 0.041 | ||||||||||
特/超大城市 | -0.542*** | -0.438*** | 0.135** | 0.202*** | -0.570*** | -0.221*** | 0.147*** | 0.206* | -0.662*** | -0.314*** | 0.021 | 0.363*** | ||||||||||
流出地聚落等级(农村) | ||||||||||||||||||||||
乡镇和县城 | 0.117*** | 0.140*** | -0.127*** | -0.019 | 0.159*** | 0.184*** | -0.089*** | 0.054 | 0.116*** | 0.143*** | 0.018 | -0.132*** | ||||||||||
地级市 | 0.409*** | 0.429*** | -0.304*** | 0.079 | 0.473*** | 0.378*** | -0.069 | -0.113 | 0.437*** | 0.368*** | -0.001 | -0.129* | ||||||||||
省会和直辖市 | 0.590*** | 0.446*** | -0.131 | -0.009 | 0.700*** | 0.338*** | 0.212 | -0.274** | 0.579*** | 0.331*** | 0.314** | -0.317*** | ||||||||||
流出地人文发展指数 | 2.835*** | 3.808*** | 0.953*** | 0.818*** | 3.299*** | 3.117*** | 0.958*** | 0.769* | 3.059*** | 3.328*** | 0.937*** | 0.572** | ||||||||||
控制变量 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | 已控制 | ||||||||||
-2倍对数似然值 | -25466.326 | -32636.215 | -15444.505 | -23818.430 | -45571.439 | -12455.997 | -33428.214 | -5862.964 | -28767.071 | -29037.306 | -20487.210 | -18527.446 | ||||||||||
伪R2 | 0.076 | 0.158 | 0.043 | 0.070 | 0.089 | 0.157 | 0.056 | 0.073 | 0.119 | 0.115 | 0.058 | 0.061 | ||||||||||
样本量 | 47788 | 70427 | 35186 | 53551 | 96341 | 21874 | 75745 | 12992 | 65166 | 53049 | 42225 | 46512 |
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