地理科学进展 ›› 2017, Vol. 36 ›› Issue (2): 151-158.doi: 10.18306/dlkxjz.2017.02.002

• 研究论文 • 上一篇    下一篇

广州市家庭收入与住房特征对应关系的区位差异性

王洋1,2,3(), 张玉玲1,2,3,*(), 张虹鸥1,2,3   

  1. 1. 广州地理研究所,广州 510070
    2. 广东省地理空间信息技术与应用公共实验室,广州 510070
    3. 广东省创新发展研究院,广州 510070
  • 出版日期:2017-02-20 发布日期:2017-02-20
  • 通讯作者: 张玉玲 E-mail:wyxkwy@163.com;zhylde@163.com
  • 作者简介:

    作者简介:王洋(1984-),男,黑龙江黑河人,博士,副研究员,研究领域为城市地理、城市与区域规划,E-mail:wyxkwy@163.com

  • 基金资助:
    国家自然科学基金项目(41401164);广东省科学院2017年度创新驱动项目(2017GDASCX-0809)

Spatial variations in the correlation between household income and housing characteristics in Guangzhou City

Yang WANG1,2,3(), Yuling ZHANG1,2,3,*(), Hong'ou ZHANG1,2,3   

  1. 1. Guangzhou Institute of Geography, Guangzhou 510070, China
    2. Guangdong Public Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China
    3. Guangdong Academy of Innovation Development, Guangzhou 510070, China
  • Online:2017-02-20 Published:2017-02-20
  • Contact: Yuling ZHANG E-mail:wyxkwy@163.com;zhylde@163.com
  • Supported by:
    National Natural Science Foundation of China, No.41401164;2017 Innovation Driven Project of Guangdong Academy of Sciences, No.2017GDASCX-0809

摘要:

以广州市中心区(天河区)和郊区(南沙区)为研究案例,依托2010年中国(广东)家庭动态跟踪调查数据,基于家庭户住房的邻里特征、建筑特征、区位特征、家庭收入等13个指标构建路径分析模型,研究广州市居民家庭收入与住房特征的映射关系和影响方向。在此基础上,采用多群组路径分析方法研究区位因素对“收入→住房特征”的影响程度及其差异性。最后利用方差方程和均值方程,分析不同区位条件下(中心区和郊区)的住房特征差异。结果表明:① 家庭收入更显著地决定住房特征,对邻里特征的影响并不显著;② 区位对“收入→住房邻里特征”的关系具有显著调节作用,而对“收入→住房建筑特征”的调节作用较弱;③ 在中心城区和郊区的内部,家庭收入更显著地影响住房建筑特征,而对邻里特征基本无显著影响;④ 郊区家庭收入对公共交通时间便利性、住房面积、厕所设施水平、拥有住房数量、住房综合条件等几个主要住房特征指标的影响程度大于中心城区;⑤ 中心城区住房的邻里特征明显优于郊区,但建筑特征明显差于郊区。显示出广州市住房邻里特征与建筑特征在不同区位条件下的“互换特征”。

关键词: 家庭收入, 住房特征, 区位, 收入与住房关系, 路径分析, 广州

Abstract:

Using a case study of central (Tianhe District) and suburban (Nansha District) Guangzhou City and the 2010 data on Chinese (Guangdong Province) household dynamic tracking survey data, and based on 13 indicators, including characteristics of the neighborhoods of household residences, construction characteristics, location characteristics, and household income, this study establishes an analytical model to map the relationship between household income and housing characteristics in Guangzhou City, as well as the direction of this relationship. On this basis, we use multiple-group pathway analysis to study the degree of influence and spatial variation of the location factor on income→housing characteristics. Finally, we use equations for variance and mean to analyze variations in housing characteristics at different locations (central city and suburb). Our results reveal the following: (1) Household income is a significant determinant of housing characteristics, but has no significant effect on neighborhood characteristics; (2) Location has a significant moderating effect on the income→neighborhood characteristics relationship, and a weak moderating effect on the income→housing characteristics” relationship; (3) Within the city center and suburban areas, household income significantly affects housing characteristics, though basically does not significantly affect neighborhood characteristics; (4) The beneficial effect of household income on several important housing characteristic indices such as convenience of public transportation, housing area, bathroom facility quality, number of houses, and comprehensive housing conditions, is greater in suburban areas than in the city center; (5) Neighborhood characteristics in the city center are noticeably better than suburban areas, but housing characteristics are noticeably poorer. These results show the switching of favorable neighborhood characteristics and housing characteristics at different locations in Guangzhou City.

Key words: household income, housing characteristics, location, relationship between income and housing characteristics, pathway analysis, Guangzhou City