Open AccessResearch on Influencing Factors of Average Sales Price of Residential Commercial Housing in Major Cities of China
Author(s) -
Y. Bai
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/608/1/012020
Subject(s) - china , real estate , regression analysis , business , hedonic pricing , panel data , economics , agricultural economics , econometrics , finance , geography , archaeology , machine learning , computer science
Housing prices are closely related to a country’s social stability, political economy, etc., and its fluctuations will also be affected by many factors. This paper collects relevant data from 35 major cities in China over the past ten years to study the effects of changes in different factors on housing prices. It mainly uses multiple regression analysis and panel regression analysis to guide residential sales prices more scientifically and effectively. It is of certain significance to promote the healthy and orderly development of the real estate market.