Abstract
Access to homeownership profoundly affects floating population's social integration in the destination city and, in the long term, wealth accumulation. While housing differentiation within China's floating population has received increasing attention in the past two decades, the varied housing outcomes of the floating population experiencing different geographic mobility have been rarely investigated. Using data from the 2017 China Migrants Dynamic Survey, this study employs logistic regression models to examine the association between migrants' hierarchical migration patterns and their housing outcomes in the destination city. The results show that the migration patterns of China's floating population are mostly featured by moving up along the urban hierarchy. There are significant disparities in housing outcomes among floating population with different origins and destinations. Migrants originating from cities with higher gross domestic product (GDP) per capita and average housing prices are more capable to afford a home in the destination city. Moving to cities with higher average housing prices implies fewer opportunities to purchase local commodity housing. As GDP per capita in destination cities increases, the probability of floating population purchasing commercial housing increases first but then decreases, while the probability of purchasing housing with incomplete property rights exhibits the opposite phenomenon. Furthermore, migrants making larger upward movements are less likely to own a home in the destination city, but more likely to rent formal housing. This study highlights the role of geographical mobility between different origins and destinations in affecting floating population's housing outcomes in the destination city and furthermore provides insight into understanding housing inequality.
| Translated title of the contribution | Hierarchical migration patterns of China's floating population and their impact on the housing choices |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 395-410 |
| Number of pages | 16 |
| Journal | Dili Xuebao/Acta Geographica Sinica |
| Volume | 77 |
| Issue number | 2 |
| DOIs | |
| State | Published - 25 Feb 2022 |