打印

作者

Xinrong Huang;Mingxing Chen

来源

HABITAT INTERNATIONAL,Vol.128,P.102650

语言

英文

关键字

作者单位

Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China;College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China;College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China;Xi'an University of Architecture and Technology, Xi'an, Shaanxi, China;The Research Institute of New Urbanization and Human Settlement in Shaanxi Province, Xi'an, Shaanxi, China;Xi'an Jianda Institute of Urban Planning and Design, Xi'an, Shaanxi, China;China Academy of Urban-rural Development & Cultural Heritage, Xi’an, Shaanxi, China;Department of Geography, The University of Hong Kong, Pokfulam Road, 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 Public Administration, Sichuan University, Chengdu, 610065, China;School of Public Affairs, Zhejiang University, Hangzhou, 310058, China;Institute of Population Research, Nanjing University of Posts and Telecommunications, Nanjing, 210042, 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;Research Center for China Administrative Division, East China Normal University, Shanghai, 200241, China;The Center for Modern Chinese City Studies, East China Normal University, Shanghai, 200062, China;Department of Geography, University of Utah, Salt Lake City, UT, 84112, USA

摘要

Rural migrants have difficulty obtaining decent housing in destinations, which has a profound impact on their quality of life and settlement intentions. Previous studies on rural migrants' settlement intention roughly care more about individuals and family, hometown connection, and economic status, paying less attention to the analysis of urban housing. The city attraction is also not fully considered in impact model. This paper discusses a hierarchical impact model of rural migrants' settlement intentions based on probability choice theory, focusing on the impact of housing conditions, including housing type, housing burden, live-in family members, and housing pressure, and urban house prices on rural migrants’ intention to settle in cities. The finding is that reliable and high-quality housing, housing expenditure ratio, number of live-in family members, and a sense of housing pressure are positively correlated with the settlement intentions of rural migrants. The odds ratio of the settlement intention of them who own houses, rent public houses, and borrow houses is 3.70x, 1.93x, and 1.82x, respectively, when using rental housing as the reference. The odds ratio of those living in shared rental house and housing provided by employers is lower. If the housing expenditure ratio increases by 1 unit from the average value, then the probability of settlement intention in the city is 1.737 times the probability that rural migrants will not settle. If the number of live-in family members increases by 1 person, then the probability of settlement intention in the city increases by 19.6%. The odds ratio of the settlement intentions under housing pressure is 1.04 times that of the opposite scenario. The impact of house price on the settlement intentions turns out to be nonlinear, showing an inverted “U” shape, that is, when a house price beyond a specific range has a negative effect. In addition, the urban economic level and administrative level have an important positive effect, and province-level municipality has a significantly positive effect. The results will help formulate targeted population and housing policies to serve new urbanization.