Abstract
This study investigates the asymmetric effects of housing price on consumption in 35 major Chinese cities, having regard to heterogeneity of the housing and financial markets. Unlike previous studies, this study employs the threshold regression model in analyzing the two important effects: namely wealth effect and substitution effect. The findings suggest that both markets (and their status) are vital to explain the linkage between housing price and consumption. In particular, for the regime where the housing price-to-income ratio is below 5.0882 and the indicator of financial development is above 1.8827, the wealth effect is significant. By contrast, for the regime where the housing price-to-income ratio lies between 5.0882 and 5.9625, the substitution effect will become dominant. This study provides a better understanding of the thresholds and transmission channels through which housing price affects consumption. That is largely ignored in the existing literature. On the other hand, the study offers meaningful implications for policy makers in formulating relevant measures that transfers housing wealth into consumption, with a view to developing a healthier and more stable housing market and bolstering better economic development in China. © 2017 Elsevier Ltd
| Original language | English |
|---|---|
| Pages (from-to) | 1-8 |
| Journal | Cities |
| Volume | 64 |
| DOIs | |
| Publication status | Published - 1 Apr 2017 |
| 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].UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 11 Sustainable Cities and Communities
Research Keywords
- Consumption
- Financial market
- Housing market
- Housing price
- Threshold regressive model
Policy Impact
- Cited in Policy Documents
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