社会杂志 ›› 2020, Vol. 40 ›› Issue (4): 163-190.

• 论文 • 上一篇    下一篇

地理空间与住房不平等:基于CFPS2016的经验分析

方长春1, 刘欣2   

  1. 1. 南京大学社会学系;
    2. 复旦大学社会发展与公共政策学院
  • 发布日期:2020-07-18
  • 作者简介:方长春,E-mail:njuccf@nju.edu.cn
  • 基金资助:
    本研究得到国家社科基金项目“住房制度改革中的政策因素与个体因素对贫富分化的影响研究”(16BSH086)的资助。

Geographical Location and Housing Inequality in China: An Analysis Based on the 2016 China Family Panel Studies

FANG Changchun1, LIU Xin2   

  1. 1. Department of Sociology, Nanjing University;
    2. School of Social Development and Public Policy, Fudan University
  • Published:2020-07-18
  • Supported by:
    This research is supported by Chinese National Social Science Foundation(16BSH086).

摘要: 与关注中国城镇住房制度改革中的体制性因素和市场能力因素对住房不平等的影响,以及着重以个体的劳动力市场处境予以解释的观点不同,本文认为,居住有很强的空间粘滞性,地理空间差异同样是理解住房不平等问题不可忽视的结构性因素。对2016年“中国家庭追踪调查”(CFPS)数据的分析发现,居民家庭房产的地区差异具有高度的统计显著性。基尼系数按地理空间分解后显示,相对于家庭收入或家庭人均收入的地理空间差异而言,家庭住房资产的地理空间差异更为突出;运用赫克曼两步回归法分析资料发现,地理空间因素不仅影响产权住房的获得,对房产产值的效应也具有高度的统计显著性。这些发现都支持了我们的基本论点:地理空间差异不只是住房不平等的外在表现,而是导致住房不平等的不可忽视的因素。关注地理空间这一结构情境对个体行为的影响及其社会不平等后果不仅有现实的政策意义,也有助于拓展当代中国社会分层研究的视角。

关键词: 住房不平等, 地理空间, 社会分层, 空间不平等

Abstract: With the reform of housing system and the development of real estate market, China's housing inequality is becoming more and more prominent. Existing studies have mainly focused on the impact of institutional or market elements on housing inequality prior to or after the urban housing reform. Most of these studies (intentionally or unintentionally) assume that people's behavior in real estateis influenced by their status and earning in the labor market before or after the economic reform. Different from these studies,this paper suggests that the difference of geographical locationsis also a crucial structural factor that cannot be ignored in understanding housing inequality. Based on the analysis of the 2016 China Family Panel Studies (CFPS) data, we present the following findings: (1) Our variance analysis shows that the differences in the location of housing assets are statistically significant, in which, the market value of average family housing assets in the eastern China urban areasis around 823 700 yuan in contrast to the mere 90 020 yuan in the rural areas of the northeast; (2) Gini coefficient of total household assets and the net household real estate assetsare 0.71 and 0.72 respectively.However, the geographical locations of property assets contribute to more than 46% of the Gini coefficient of residential housing assets, much more prominent than the geospatial difference intotal household assets or per capita income; (3)The Heckman two-step method of analysis shows that geospatial factors have a significant impact on property ownership: people in the developed areas have more difficulties to own property than those in less developed areas. However, for people who are already real estate owners, the effect of geo-spaces on their housing assets shows opposite characteristics: the more in the developed areas, the more advantageous of their family housing assets. These findings support our basic argument that real estate behaviors are influenced to some extend by where the properties are located, and property location is one of the factors contributing to housing inequality. This reflects the difference of urban and rural land system in China, and the uniqueness of the Chinese housing reform and its real estate market. Paying attention to the impact of geographical location on individual behaviors and social inequality in housing can have realistic policy implications and help to broaden the study of social stratification in contemporary China.

Key words: housing inequality in China, geographical location, social stratification, spatial inequality