Tropical Geography ›› 2020, Vol. 40 ›› Issue (6): 1004-1014.doi: 10.13284/j.cnki.rddl.003292
Can Cui1,2,3(), Jiayi Li3, Junru Cui3, Wei Xu4, Fenglong Wang1,2,5
Received:
2020-03-19
Revised:
2020-06-07
Online:
2020-11-30
Published:
2020-12-10
CLC Number:
Can Cui, Jiayi Li, Junru Cui, Wei Xu, Fenglong Wang. Regional Differences in Access to Homeownership for China's Young Generation: A Case Study of Shanghai and Nanjing[J].Tropical Geography, 2020, 40(6): 1004-1014.
Table 1
Comparison of social and economic development between Shanghai and Nanjing"
指标 | 上海 | 南京 | |
---|---|---|---|
常住人口/万人 | 2 415.15a | 818.78b | |
户籍人口/万人 | 1 425.14a | 643.09b | |
从业人员平均工资/元 | 60 435a | 52 082b | |
各产业 占GDP的 比例/% | 第一产业 | 0.6a | 2.50b |
第二产业 | 37.16a | 43.10b | |
第三产业 | 62.24a | 54.40b | |
住房自有率/% | 59.5 | 73.7 | |
住房 来源 类型/% | 自建住房 | 4.1 | 8.4 |
购买商品房(包括二手房) | 36.6 | 30.3 | |
购买经济适用房 | 0.3 | 9.8 | |
购买原公有住房 | 18.5 | 25.2 | |
租赁廉租住房 | 1.7 | 2.3 | |
租赁其他住房 | 36.6 | 19.3 | |
住宅商品房平均销售价格/(元·m-2) | 16 192c | 11 078c | |
平均每户住房间数/(间·户-1) | 1.86 | 2.55 | |
人均住房建筑面积/(m2·人-1) | 25.04 | 33.86 | |
人均住房间数/(间·人-1) | 0.73 | 0.91 |
Table 2
Profile of samples from Shanghai and Nanjing"
变量类别 | 上海(N=2 219) | 南京(N=642) | |
---|---|---|---|
平均年龄/岁 | 28.5 | 28.3 | |
性别(男性)/% | 47.6 | 55.3 | |
婚姻状况(已婚))/% | 54.4 | 47.2 | |
是否育有子女(是)/% | 42.3 | 26.6 | |
家庭有收入成员个数 | 2.3 | 1.6 | |
是否有住房产权(是)/% | 76.2 | 41.9 | |
当前居住的城市区位(市中心)1)/% | 33.8 | 56.4 | |
户口 属性 | 本地人(初始户口即为本地)/% | 71.1 | 23.0 |
新市民(初始户口非本地,调研时获得本地户口)/% | 3.1 | 49.4 | |
外来非农人口(无本地户口、目前户口性质为非农)/% | 10.4 | 16.4 | |
外来农业人口(无本地户口、目前户口性质为农业)/% | 15.4 | 11.2 | |
受教育程度 | 较低水平(低于大学本科)/% | 62.5 | 12.8 |
中等水平(大学本科)/% | 33.3 | 49.8 | |
较高水平(硕士或博士)/% | 4.2 | 37.4 | |
工作 | 工作流动性(工作次数/a) | 0.08 | 0.07 |
单位性质(公有制)2)/% | 18.1 | 54.1 | |
是否为党员(是)/% | 11.0 | 44.1 | |
家庭年收入/万元 | 13.1 | 10.3 |
Table 3
Logistic model results of Shanghai and Nanjing"
变量 | 上海1) | 南京 | |||
---|---|---|---|---|---|
Exp( | Exp( | ||||
年龄 | 0.019 | 1.020 | 0.184*** | 1.202*** | |
性别(男性) | -0.177 | 0.838 | -0.373* | 0.689* | |
受教育水平(参照组:较低) | |||||
中等 | 0.059 | 1.061 | 0.806** | 2.239** | |
较高 | -0.323 | 0.724 | -0.321 | 0.725 | |
婚姻状况(已婚) | 0.375* | 1.455* | 0.731*** | 2.077*** | |
是否育有子女(是) | 0.263 | 1.301 | 0.991*** | 2.694*** | |
工作流动性 | -0.066 | 0.936 | 1.525* | 4.595* | |
有收入的家庭成员个数 | 0.250*** | 1.284*** | 0.782*** | 2.185*** | |
家庭年收入 | 0.328*** | 1.389*** | 1.543*** | 4.679*** | |
户口属性(参考组:本地人) | |||||
新市民 | -1.094*** | 0.335*** | -0.746** | 0.474** | |
外来非农人口 | -2.292*** | 0.101*** | -1.416*** | 0.243*** | |
外来农业人口 | -3.035*** | 0.049*** | -2.430*** | 0.088*** | |
政治身份(党员) | -0.210 | 0.811 | -0.290 | 0.748 | |
工作单位性质(参照组:非公有制单位工作者) | -0.046 | 0.955 | 0.729** | 2.073** | |
工作单位性质×政治身份 | 0.955* | 2.599* | -0.375 | 0.688 | |
当前居住的城市区位:市中心(参照组:郊区) | -1.336*** | 0.263*** | -1.000*** | 0.368*** | |
样本量 | 2 163 | 642 | |||
Log Pseudo likelihood | -859.939 | -258.024 | |||
Wald chi2 | 438.85 | 187.23 | |||
Pseudo R2 | 0.276 | 0.409 |
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