Analysis on the Influencing Factors of Housing Prices in Shanxi Province Based on multiple Linear Regression
DOI:
https://doi.org/10.54097/t59jyd53Keywords:
Multiple linear regression; Housing price; Influencing factors; Optimization suggestions.Abstract
As a pillar industry of the national economy, real estate price fluctuations affect residents' living quality, macroeconomic stability and urban development. Housing prices in Shanxi Province have also fluctuated in recent years, affecting people's living standards. However, there is no clear formula to reveal the essential reasons for changes in housing prices. To explore the law of housing price changes in Shanxi Province, this paper uses SPSS to build a multiple linear regression model, and analyzes the impact mechanism of various factors on housing prices from the perspective of supply and demand based on relevant data of Shanxi Province from 2013 to 2024. With regional GDP, per capita disposable income of urban residents, residential sales area, population, residential completion investment and residential completed area as independent variables, and the average sales price of commercial housing as the dependent variable, the study shows that residential commodity investment, regional GDP and residential commercial housing completion area have a great impact on housing prices in Shanxi Province, and the real estate industry is highly correlated with economic development and residents' income. Relevant suggestions are put forward to promote the healthy and steady development of Shanxi's real estate industry and keep housing prices in a reasonable range.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
