Analysis of the Factors Affecting the Housing Prices in Hubei China

DOI

10.2991/aebmr.k.201211.013How to use a DOI?

Keywords

Housing prices, affecting factors, multiple regression model, heterogeneity, stata

Abstract

Housing prices could directly affect people’s life. As the prices keep going up, more and more attention is drawn to the real estate. Using data of Hubei Province and its five prefectural-level cities from 2005 to 2016 and processing it through Stata, this paper establishes a multiple linear regression model. The average commodity residential housing prices are taken as the explained variable in the model, while the total commodity residential housing saleable area, residential population, and the disposable income per capita are taken as the explanatory variables. Then, through the heterogeneity analysis, following conclusions are drawn: first, the main factor affecting the housing prices in Hubei province is the residential population, followed by the disposable income per capita; second, the main factors in the five-prefecture-level cities is disposable income per capita, followed by the residential population; third, the residential population is significant for the lower-tier cities only, while disposable income per capita is significant for all. In the end of the paper, some policies are suggested for reference.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yiying Li
PY  - 2020
DA  - 2020/12/14
TI  - Analysis of the Factors Affecting the Housing Prices in Hubei China
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 68
EP  - 73
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.013
DO  - 10.2991/aebmr.k.201211.013
ID  - Li2020
ER  -