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基于住房需求意愿的广州市中产阶层住房区位选择
引用本文:边艳,周春山,胡锦灿.基于住房需求意愿的广州市中产阶层住房区位选择[J].热带地理,2020,40(5):832-842.
作者姓名:边艳  周春山  胡锦灿
作者单位:1.广州大学 管理学院(旅游学院/中法旅游学院),广州 510006;2.中山大学 地理科学与规划学院//广东省城市化与地理环境空间模拟重点实验室,广州 510275
基金项目:国家自然科学基金资助项目(41701174);广州市社会科学界联合会“羊城青年学人”项目(17QNXR19)
摘    要:以2014年广州市中产阶层聚居区24个街道、50个社区进行的问卷调查和深度访谈资料为数据源,从住房需求意愿与区位选择方面分析了广州中产阶层住房选择,并运用多元Logistic回归分析法对其影响因素进行研究。研究发现:1)广州市中产阶层住房区位选择表现出明显的“向中心城区”性;2)现居住现状(人均住房面积、现小区区位、现小区建成年代、现居住时间)、家庭生命周期(年龄、家庭规模、子女数量)和经济水平(家庭年总收入、个人年总收入、私家车拥有量)等因素对中产阶层住房需求意愿具有显著影响;3)家庭生命周期(年龄、家庭规模)、个体因素(教育程度、户籍地)等要素对中产阶层住房区位选择具有显著影响。4)制度因素、区位因素和个体因素共同影响着广州市中产阶层住房区位选择。

关 键 词:中产阶层  住房选择行为  多元Logistics模型  广州市  
收稿时间:2020-04-02

Characteristics and Influence Factors of Middle-Class's Housing Location Choice Behavior on Residents' Housing Demand in Guangzhou,China
Yan Bian,Chunshan Zhou,Jincan Hu.Characteristics and Influence Factors of Middle-Class's Housing Location Choice Behavior on Residents' Housing Demand in Guangzhou,China[J].Tropical Geography,2020,40(5):832-842.
Authors:Yan Bian  Chunshan Zhou  Jincan Hu
Institution:1.School of Management (School of Tourism/Sino French of Tourism), Guangzhou University, Guangzhou 510006, China;2.Guangdong Key Laboratory for Urbanization and Geo-simulation, Geography and Planning School, Sun Yat-Sen University, Guangzhou 510275, China
Abstract:Consequential to socio-economic development, the middle class in china has grown considerably, gradually becoming an important social group. With rapid urbanization and constant suburbanization, the emergence of middle class exerts a profound impact on the gentrification and housing choices in a country or region, contributing to the urban social space reconstruction. According to the previous research, the middle class social area is expanding in Guangzhou, with evident suburbanization and centralization. The middle class social area in Guangzhou can be divided into four subtypes according to their changing condition: stable, unstable, decaying, and growing. What is the cause of this phenomenon? What are the main features of housing demand, or the willingness to pay for a residential location, and what affects the middle class' behavior in the microcosmic aspect? What are the similarities and differences of the middle class' housing location choice behavior in Chinese and Western societies? This study primarily analyzes the middle-class's housing location choice behavior from the perspective of housing demand and residential location selection, based on the questionnaire survey of 24 sub-districts in 50 middle-class neighborhoods of Guangzhou in 2014 and using the multinomial Logit model. The results show that first, the middle class's housing location choice presents centralization. Second, residential conditions (living space per capita, the current residential location, age of the current settlement, length of residency), family life cycle (such as age, family size, number of children), and economic performance (annual household income, annual personal income, number of private cars) have significant impacts on housing demand. Third, family life cycle (age, family size) and individual factors (educational level, registered residence) have a marked impact on housing location choice behavior. Generally, institutional, location, and individual factors have a combined effect on the middle class's housing choice behavior. Furthermore, this paper analyzes the differences and similarities in the influence factors of middle class's housing location choice behavior on resident's housing demand by comparing Chinese to Western societies. In western societies, children's education is the chief reason for housing choice, followed by commuting time. However, in China, the influence factors are exactly the opposite: commuting time followed by children's education. Regarding the housing location choice, the middle class's housing location choice shows centralization in China. On the contrary, for most western middle-class families, moving to the suburbs seems like a logical step to take once they have children.
Keywords:middle-class  housing location choice  multinomial Logit model  Guangzhou  
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