What accounts for the migrant–native housing price distribution gap? Unconditional quantile decomposition analysis in Guangzhou, China

《What accounts for the migrant–native housing price distribution gap? Unconditional quantile decomposition analysis in Guangzhou, China》

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作者: Haizhen Wen;Shuyuan Li;Eddie C.M. Hui;Shijun Jia;Xiaojing Li

来源: HABITAT INTERNATIONAL,Vol.128,P.102666

语言: 英文

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作者单位: School of Spatial Planning and Design, Zhejiang University City College, Hangzhou, 310015, China;Department of Civil Engineering, Zhejiang University, Hangzhou, 310058, China;Center for Real Estate Studying, Zhejiang University, Hangzhou, 310058, China;Department of Building and Real Estate, Hong Kong Polytechnic University, Hong Kong, China;School of Management, Guangzhou University, Guangzhou, 510006, China;Department of Civil Environmental and Architectural Engineering, University of Padova, Padova, Italy;School of Spatial Planning and Design, Zhejiang University City College, Hangzhou, 310015, China;Department of Civil Engineering, Zhejiang University, Hangzhou, 310058, China;Center for Real Estate Studying, Zhejiang University, Hangzhou, 310058, China;Department of Building and Real Estate, Hong Kong Polytechnic University, Hong Kong, China;School of Management, Guangzhou University, Guangzhou, 510006, China;Department of Civil Environmental and Architectural Engineering, University of Padova, Padova, Italy;School of Public Administration and Policy, Renmin University of China, Beijing, 100872, China;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China;Economic School of Shandong Technology and Business University, Yantai, 264005, China;Urban Planning & Design Institute of Shenzhen, Shenzhen, 518028, China;Institute of China Studies, University of Malaya, Kuala Lumpur, 50603, Malaysia;Center for Real Estate Studying, Zhejiang University, Hangzhou, China;Department of Civil Engineering, Zhejiang University, Hangzhou, China;Ningbo Urban Construction Investment Holding Company Limited, China;The Hongkong Polytechnic University, Hong Kong, China;Department of Architecture, School of Design and Environment, National University of Singapore, 4 Architecture Drive, Singapore;Urban and Regional Planning Department, University of Colorado Denver, CO, USA;Department of Geography & Earth Sciences, College of Liberal Arts & Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA;College of Arts and Architecture, The Pennsylvania State University, State College, Pennsylvania, USA;School of Management, Zhejiang University of Technology, Hangzhou, 310023, China;Department of Geography and Resource Management, and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;College of Applied Arts and Science, Beijing Union University, Beijing, 100191, China;Land and Urban-Rural Development Research Institute, Zhejiang University of Finance and Economics, Hangzhou, 310018, China;School of Management, Guangzhou University, Guangzhou, 510006, China;Department of Urban Studies, University of Glasgow, Glasgow, G12 8QQ, UK;Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong

摘要: Unlike previous studies that have focused on the challenges of migrants in acquiring home ownership, this study aims to investigate differences in housing consumption and preferences between migrant and native owners. The hedonic price and unconditional quantile decomposition models were constructed using transaction data in Guangzhou from 2014 to 2016. The study first discovered that migrant–native segments exist in the low-end, mid-end, and high-end markets. Second, the price gap was decomposed into a characteristic gap and a coefficient gap, corresponding to quantitative and qualitative differences in housing attributes or services consumed by the two groups, respectively. The characteristic gap is the main cause of the total price gap; that is, migrants consume more housing attributes than natives. The coefficient gaps make little or no significant contribution to the gaps. Third, migrants place more emphasis on structure and location attributes, while natives consume more urban and natural amenities, especially schools and hospitals. Although there are a growing number of migrant homeowners in host cities, their migration status leaves them with limited access to social services in the city. The results reveal not just disparities in housing preferences among groups but also differences in the usage of social welfare and public services. Moreover, a thorough assessment of consumer demands provides an essential reference for urban planning and project development.