Effect of Changes in Fertility Rate and Demographic Structure on Housing Prices: Centering on Dongtan New Town

Yun-Hong Lee
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Abstract

As a result of analyzing the influence of variables related to the demographic structure, it was found that the price of apartments traded at a time when the total fertility rate was high, the lower the price. In the case of acetic age, the price of apartments traded at a time when the acetic age was higher was found to be lower. It was found that the ratio of single-person households had a negative effect on apartment transaction prices, and the ratio of double-person households had a positive effect on apartment transaction prices. These results suggest that transaction prices tend to fall as apartments traded at a time when the number of single-person households composed of unmarried or students increases. On the contrary, it was found that apartments traded at a time when more double-person households move in are more likely to rise in price. The elderly ratio was found to have no significant effect on apartment transaction prices, but the higher the price of apartments traded at a time when more people in their 60s moved in. In addition, it was found that the high proportion of people in their 60s moved in and apartment prices rose during the period when their transactions were concentrated, mainly in high-priced apartment complexes. These results suggest that changes in fertility rates and demographic structure have a significant impact on apartment prices in new cities. Therefore, it seems important to predict changes in the fertility rate and demographic structure of the region when deciding on apartment supply policies to prevent soaring apartment prices.
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生育率和人口结构变化对房价的影响——以东滩新城为中心
对人口结构相关变量的影响进行分析的结果显示,在总生育率高的时期交易的公寓价格越低。在醋酸年龄的情况下,发现在醋酸年龄较高时交易的公寓价格较低。结果发现,单人户型比例对公寓交易价格有负向影响,双人户型比例对公寓交易价格有正向影响。这表明,在未婚或学生组成的单身家庭增加的时候,公寓交易价格往往会下降。相反,在两个人入住较多的时期进行交易的公寓,价格上涨的可能性较大。老人比率对公寓交易价格没有显著影响,但60多岁老人入住越多,公寓交易价格越高。另外,据调查,60多岁老人的迁入率较高,在他们的交易集中时期,公寓价格也有所上涨,主要集中在高价公寓园区。这些结果表明,生育率和人口结构的变化对新建城市的公寓价格有显著影响。因此,为了防止公寓价格暴涨,在制定公寓供应政策时,有必要预测生育率和人口结构的变化。
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