Study for Factors Influencing Pre-Owned Housing Prices in China
Muge Zhao
2025
Abstract
Against the backdrop of the sustained development of China's real estate market and active pre-owned housing transactions, it is crucial to explore the factors influencing pre-owned housing prices. This article focuses on this and uses a review method to integrate literature from multiple fields. Research has found that a combination of multiple factors influences pre-owned housing prices. In the inherent properties of a house, factors such as age, decoration, layout, and floor level directly affect its price. In terms of the external environment, location factors have a significant impact, and the completeness of supporting facilities such as education, healthcare, commerce, and transportation in the surrounding area greatly affects its market value. The supporting services, such as property services and greening rates within the community, will also have an impact on housing prices. In addition, the article summarizes existing research methods, such as multiple linear regression, geographically weighted regression, and random forest models. A deep understanding of these factors and mechanisms can not only help homebuyers and investors make scientific decisions but also provide theoretical support for the government to formulate precise and effective real estate regulation policies and help stabilize the market.
DownloadPaper Citation
in Harvard Style
Zhao M. (2025). Study for Factors Influencing Pre-Owned Housing Prices in China. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 59-64. DOI: 10.5220/0013814000004708
in Bibtex Style
@conference{iampa25,
author={Muge Zhao},
title={Study for Factors Influencing Pre-Owned Housing Prices in China},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={59-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013814000004708},
isbn={978-989-758-774-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Study for Factors Influencing Pre-Owned Housing Prices in China
SN - 978-989-758-774-0
AU - Zhao M.
PY - 2025
SP - 59
EP - 64
DO - 10.5220/0013814000004708
PB - SciTePress