Analysis of Influential Factors of House Prices in Shenzhen

Jia Shi

doi:10.54097/jrag1730

Authors

Jia Shi

DOI:

https://doi.org/10.54097/jrag1730

Keywords:

House prices; influential factors; factor analysis.

Abstract

The change of house prices in Shenzhen can reflect the trend of house price changes in China, to a certain extent. This text chose the Factor Analysis Method to Specific analyze influential factors. This text put F1 as a variable, which included Total Floor Space of Residential Buildings Sold, Permanent Population, Total Floor Space under Construction of Commodity Housing, Investment in Real Estate Development, Gross Domestic Product, Local Budgetary Revenue and Expenditure. Through analyzing the data, this text deduced that Longgang, Baoan and Nanshan districts had above average values on F1. This text put F2 as a variable, which included Per Capital Disposable Income of Permanent Households and Growth Rate of Real Estate Investment, etc. Through analyzing the data, this text deduced that Nanshan, Luohu, Futian districts had above average values on F2. This text can conclude that Nanshan, Baoan and Futian Districts had a great influence on house prices in Shenzhen.

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References

[1] Xu Jinjing. Research and Prospect of China's House Price Problem. Modern Business Industry, 2017, (23): 84-86.

[2] Sheng Songcheng. What is the Real Reason for the Continuous Rise of House Prices in China?. Real Estate Guide, 2021, (08): 16-19.

[3] Qiang Huanhuan, Wang Hui, Lei Shuyu. Analysis of spatial differentiation characteristics and influencing factors of house price in big cities based on MGWR model--Taking the main urban area of Nanjing as an example. Modern Urban Research, 2023, 30(S2): 163-166.

[4] SUN Furui, GU Chiyuan. Multivariate Influence Analysis of House Prices Based on GIS--Taking Chengdu City as an Example. Urban Architecture Space, 2023, 30(S2): 163-166.

[5] Cui Qinyu, Huang Yiting, Liu Chang, et al. A study on the influencing factors of house prices in Shenzhen based on multi-scale geographically weighted regression. Habitat, 2023, (06): 117-125.

[6] Zhang Tao, Li Jintao. Analysis of the Impact of Housing Purchase Restriction Policies on House Prices--Taking Wuhan City Circle as an Example. Journal of Hubei University of Technology, 2023, 38(06): 47-51+86.

[7] Liang Zhongzhi, Luo Ming. A study on the spatial and temporal heterogeneity of the driving effect of urbanisation on regional house prices. National Circulation Economy, 2023, (21): 144-147.

[8] Song Ziyue. Research on Evaluation of Economic Development Level of WTO Members Based on Principal Component Analysis. Brand Marketing of Old Firms, 2024, (10): 67-69.

[9] Wu Jiakun. Comparative Study on Comprehensive Competitiveness of Cities in Jiangxi Province Based on Factor Analysis. Journal of Economic Research, 2021, (19): 120-122.

[10] Peng Shangxian. Factor analysis method to study the influencing factors of house price in Zhengzhou city. National Circulation Economy, 2020, (03): 135-136.

[11] Xu Bo. Empirical study on livability of Guangdong regional cities based on factor analysis. Inner Mongolia Science and Economy, 2020, (20): 5-7