Study on rent pricing of public housing in Qingdao

Abstract

As a form of housing security provided by the government, the pricing of public rental housing has always been a concern. Research on the pricing of public rental housing can help deepen our understanding of the supply and demand relationship and rental formation mechanism in the housing market. Currently, research mainly adopts pricing methods based on cost, income, and market orientation. Therefore, this paper takes the relevant data that affects the rental prices of public rental housing in Qingdao as a basis, and uses multiple regression analysis and principal component analysis to construct a multiple linear regression model with the rental prices of public rental housing in Qingdao as the dependent variable and 8 indicators affecting rental prices as independent variables. Based on the model, the rental prices for the first quarter of 2023 are predicted, and the results are close to the actual results. Finally, based on the model and predicted values, combined with relevant policies of public rental housing in Qingdao, suggestions for pricing public rental housing are given. By applying the above model, we can comprehensively understand the factors that affect the pricing of public rental housing and provide some reference value for solving urban housing problems.