Research Article
Population Age Structure and Housing Price --An Analysis Based on Panel Data from 2007 to 2019 in Zhejiang Province
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328024, author={Yihua Mao and Zhao Zhang and Qingwen Chen and Yuchen Hu}, title={Population Age Structure and Housing Price --An Analysis Based on Panel Data from 2007 to 2019 in Zhejiang Province}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={housing price; population age structure; life cycle theory; housing demand}, doi={10.4108/eai.2-12-2022.2328024} }- Yihua Mao
Zhao Zhang
Qingwen Chen
Yuchen Hu
Year: 2023
Population Age Structure and Housing Price --An Analysis Based on Panel Data from 2007 to 2019 in Zhejiang Province
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2328024
Abstract
According to the theory of life cycle, with the growth of population age, the income level and house-buying preference will change, and the housing demand will also change. The paper applied Modigliani's life cycle theory to analyze the change of population age structure and housing price in Zhejiang Province. Then selected the population age structure, urbanization rate, GDP, residents' income, population natural growth rate, development and construction costs, real estate investment of 11 cities in Zhejiang Province from 2007 to 2019 to build an econometric model of the influencing factors of house prices. It is found that the proportion of population aged 18-35 is positively correlated with housing price, and the proportion of population aged over 60 is negatively correlated with housing price.