Research on the Impact of Aging and New Generation in the Population Structure on China’s Real Estate Price Volatility

Abstract

To clarify the internal mechanism of the influence of the aging population and the new generation on housing prices is helpful to scientifically analyze and predict the trend of housing prices and the aging population and the new generation. This paper uses the intergenerational overlap model of the two periods as the theoretical basis, and uses the provincial panel data from 1998 to 2018 to study the impact of the elderly population and the new generation on the price fluctuations of commercial housing. The results of the study show that on the whole, both the aging population and the new generation have promoted the rise in commodity housing prices. However, the regional heterogeneity is significant. The aging population has the most significant impact on housing price increases in developed and general developed areas, and has no significant impact on housing price increases in other places. The new generation has a negative impact on housing prices in backward areas and a positive impact on housing prices in other areas. Looking further, using the ARIMA model to predict housing prices in the next 10 years, it is concluded that housing prices will show a slow upward trend in the next 10 years. Therefore, the government can ensure the stable development of the real estate market by revitalizing the second-hand housing market and implementing housing projects.