Abstract
This paper explores the phenomenon of Hong Kong citizens residing in mainland China. This situation is interesting as it involves two distinct institutional structures, rather than the one involved in conventional residential mobility. In addition, this is a different scenario, in which people move from a developed area to a comparatively developing area. This paper aims to determine how different attributes weigh in potential decisions about cross-border residence and the characteristics of these residents, from the ex ante perspective. A logistic regression model is used to gauge the effect of various factors on the stated preferences of cross-border residence. The findings suggest that the older generation has a higher preference for future cross-border residence than other demographic groups. This is in sharp contrast with conventional theories on residential mobility. This finding has implications with regard to government policies in areas such as social security, healthcare and housing provision. In addition, institutional factors play a critical role in restraining the intentions of several population groups. For instance, local public rental housing limits the desire for cross-border residence among its tenants, while the distinctive institutional arrangements between Hong Kong and mainland China, due to the "One country, two systems" policy, keep the younger, more educated class from potentially relocating to Mainland China.
© 2007 Taylor & Francis
© 2007 Taylor & Francis
| Original language | English |
|---|---|
| Pages (from-to) | 293-304 |
| Journal | Housing, Theory and Society |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
The authors would like to extend special thanks to the anonymous referees for their valuable comments and suggestions. They also thank Mr Benjamin H. C. Chan for his valuable assistance. The work described in this paper was fully supported by the Hong Kong RGC funding (B‐Q664 & B‐Q00Z).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
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SDG 11 Sustainable Cities and Communities
Research Keywords
- Cross-border residence
- Hong Kong
- Logistic regression model
- Mainland China
RGC Funding Information
- RGC-funded
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