人口研究 ›› 2020, Vol. 44 ›› Issue (6): 3-19.

• 家庭研究 •    下一篇

三代直系家庭分布影响因素的空间分析

李婷1,刘涛2,刘嘉杰3,成天异4   

  1. 李婷1,中国人民大学人口与发展研究中心;刘涛2(通讯作者),北京大学城市与环境学院、未来城市研究中心;刘嘉杰3,北京大学城市与环境学院;成天异4,中国人民大学社会与人口学院。
  • 出版日期:2020-11-29 发布日期:2020-12-11
  • 作者简介:李婷,中国人民大学人口与发展研究中心教授;刘涛(通讯作者),北京大学城市与环境学院、未来城市研究中心研究员;刘嘉杰,北京大学城市与环境学院博士研究生;成天异,中国人民大学社会与人口学院硕士研究生。
  • 基金资助:
    本研究得到中国人民大学2020年度“中央高校建设世界一流大学(学科)和特色发展引导专项资金”的支持。

Spatial Analyses of Stem Families in China:Based on 2015 One-Percent Population Sample Survey

Li Ting1,Liu Tao2,Liu Jiajie3,Cheng Tianyi4   

  1. Li Ting1, Center for Population and Development Studies, Renmin University of China; Liu Tao2 (Corresponding Author), College of Urban and Environmental Sciences and Center for Urban Future Research, Peking University; Liu Jiajie3, College of Urban and Environmental Sciences, Peking University; Cheng Tianyi4, School of Sociology and Population Studies, Renmin University of China.
  • Online:2020-11-29 Published:2020-12-11
  • About author:Li Ting is Professor, Center for Population and Development Studies, Renmin University of China; Liu Tao (Corresponding Author) is Assistant Professor, College of Urban and Environmental Sciences and Center for Urban Future Research, Peking University; Liu Jiajie is PhD Candidate, College of Urban and Environmental Sciences, Peking University; Cheng Tianyi is Master Student, School of Sociology and Population Studies, Renmin University of China.

摘要: 利用2015年1%人口抽样调查数据,通过空间分析探索中国三代直系家庭的分布及其影响因素。结果发现,三代直系家庭比例在中国地级行政单元上存在明显的空间分化,总体呈现出北方较低,南方较高的模式。进一步的可变系数地理加权回归模型显示,社会经济、人口和文化等因素均会影响三代直系家庭的分布,但是它们的效应存在显著的空间异质性。社会经济发展和人口因素会因地区文化和城镇化模式的差异而呈现出对三代直系家庭比例截然相反的促进或是抑制作用。同时,房价因素也会受地区对房价敏感程度的影响产生分化效果。这些结果说明,社会经济发展水平、发展模式和文化传统这三者会形成一种相互作用又协同进化的关系,它们之间的复杂互动塑造了中国家庭结构的独特性。

关键词: 家庭结构, 三代直系家庭, 空间分布, 地理加权回归

Abstract: Based on the 2015 Chinese 1% population survey, this study examines the spatial patterns of Chinese stem family and its influencing factors. It is found that there is significant heterogeneity among the distribution of stem families at the prefecture-level city with generally higher proportion of stem family in the south China and lower proportion in the north China. We further explore the spatial variation of factors affecting stem families using Geographic Weighted Regression (GWR) model. The results demonstrate that socioeconomic, demographic, and culture factors all play important roles in determining the distribution of stem families. The former two factors can exhibit opposite impact conditioned on the local culture and the development model of urbanization. Meanwhile, the impact of housing price is also divergent depending on the sensitivity of local housing market to the price change. These results suggest that the interplay of socioeconomic level, development mode, and cultural tradition ultimately shapes the pattern of Chinese stem family.

Keywords: Family Structure, Stem Family, Spatial Analysis, Geographically Weighted Regression