Responses of Housing Price under Different Directions of Population Change: Evidence from China’s Rust Belt

Li, He; Liang, Xiaoxuan

doi:10.1007/s11769-021-1248-y

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…In their research, Li and Liang [10] tested this hypothesis. Focused on 35 cities in Northeast China, Li and Liang [10] tried to find the relation between city total population and house prices between 1999 and 2018 [10]. Those cities are facing an intensive population shrinkage because of the shrinkage of industry.…”

Section: Population Structure and Family Structurementioning

confidence: 99%

“…Those cities are facing an intensive population shrinkage because of the shrinkage of industry. To analyze whether population fluctuation and house prices are correlated, Li and Liang [10] use York and McGee's modeling approach. In their research, Li and Liang [10] divided the period they analyzed into two parts: one starts from 1999 to 2008, and the other from 2009 to 2018.…”

Section: Population Structure and Family Structurementioning

confidence: 99%

“…To analyze whether population fluctuation and house prices are correlated, Li and Liang [10] use York and McGee's modeling approach. In their research, Li and Liang [10] divided the period they analyzed into two parts: one starts from 1999 to 2008, and the other from 2009 to 2018. In the first period, three fourth of the cities in that area experienced population growth of around 12 percent, and in the next period, nearly all cities experienced population decline.…”

Section: Population Structure and Family Structurementioning

confidence: 99%

“…The house prices of those 35 cities experienced 56 percent of average growth rate during 1999 and 2008, which is higher than 43 percent from 2008 to 2019. Still, Li and Liang [10] claimed that the relation between house prices and population fluctuation are asymmetric, which means there is no clear relation, both in directions and magnitudes. Instead, they claimed that factors such as rising land costs, private or public real estate investment, GDP per capita, and the number of households could be to blame for rising home prices.…”

Section: Population Structure and Family Structurementioning

confidence: 99%

“…In a word, although Li and Liang [10] were unclear about relation between total population and Chinese housing price, Wang et al [11] stated that population aging did have a positive relation with housing price.…”

Section: Population Structure and Family Structurementioning

confidence: 99%

See 4 more Smart Citations

Analysis On the Influencing Factors of Housing Price in China

Cai¹,

Chen²,

Wang³

2023

BCPBM

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In order to recognize and analyze the influencing factors of housing price, based on the previous literature, this paper mainly examined 3 major factors: Supply Factors, Demand factors, and Government Policy Intervention in Chinese Housing system. It was indicated that, for supply factors, development investment in the real estate market has a considerable impact on the supply and price of real estate. While for the Demand respect, we further divided it into two factors including population and level of urbanization. The results showed that although total population has no clear relation with the housing price, population aging was a positive relation with the real estate. Also, the level of urbanization only has positive relations with some parts of China. Government policy intervention is unique in China, therefore, the results of this paper could provide some useful information for the investors and governors in analyzing Monetary policy, Housing credit system, Land system, and Taxation system. Generally speaking, our paper generates a better reasoning of Chinese Housing Price.

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Section: Population Structure and Family Structurementioning

confidence: 99%

Section: Population Structure and Family Structurementioning

confidence: 99%