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Population Aging, Mobility, and Real Estate Price: Evidence from Cities in China

Authors: Wang, X; Hui, EC; Sun, J;

Population Aging, Mobility, and Real Estate Price: Evidence from Cities in China

Abstract

Demographic factors are crucial to the sustainable development of one country. China’s population is aging at an accelerating rate and, together with the increasing mobility between cities, some special demographic issues have formed, which is quite related to the urban real estate market. The paper aims to investigate how the population aging and mobility affect housing prices at the city level, by using a set of two-period panel data of 294 prefecture-level cities in China. The results show that an increase in elderly dependency ratio by 1% leads to a rise in housing prices by 0.368%. Meanwhile, an increase in urbanization level by 1% drives up housing prices by about 0.139%, and a rise in the ratio of inter-regional migration by 1% will increase housing prices by about 1.038%. Furthermore, the policy of purchase limits could weaken the positive impacts of elderly dependency ratio and inter-regional migration on housing prices and, thus, plays a moderating role on the relationship between demographic structure and housing prices.

Countries
China (People's Republic of), Hong Kong, China (People's Republic of)
Keywords

TJ807-830, urbanization, TD194-195, Renewable energy sources, Population aging, housing prices, the policy of purchase limit, GE1-350, The policy of purchase limit, Mobility, Environmental effects of industries and plants, Urbanization, population aging, mobility, Environmental sciences, Housing prices

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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gold