Abstract
Urban house prices and their spatial variation are hot issues of continuous interest to urban geographers in the twenty-first century. Taking each residential district in Shenzhen as the object of the study, using the data of house price points in the community and the data of points of interest related to the living environment, we reveal the specific influence and spatial differences of the living environment on the house price through the quantitative analysis of geographically weighted regression from the two aspects of house price differences and their influencing factors. The results show that the house prices in Shenzhen are gradually decreasing in the east–west direction from Nanshan District and Futian District to the east, and in the north–south direction from Nanshan District and Futian District to the north; the average price of the ordinary residential community in Shenzhen shows obvious spatial differences, and high house prices are mainly distributed in the city center, near subway stations and high-grade closed communities. The spatial differentiation of housing prices is a structural manifestation and market-oriented response to the socio-spatial differentiation of cities, as well as a comprehensive reflection of the differences in the ability of cities to dispose of resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Song, W., Wu, Q., & Zhu, X. (2010). Residential differentiation of Nanjing in the new period. Acta Geographica Sinica, 65(6), 685–694.
Yu, W. (1986). Research and planning of urban social space. City Planning Review, 06, 25–28.
Feng, J., & Zhou, Y. (2008). Restructuring of socio-spatial differentiation in Beijing in the transition period. Acta Geographica Sinica, 63(8), 829–844.
Li, Z., Wu, F., & Xiao, Y. (2014). Residential segregation of new migrants in Guangzhou, China: A study of the 6th census. Geographical Research, 33(11), 2056–2068.
Zhou, C., Liu, Y., & Zhu, H. (2006). Analysis of Guangzhou's social district during the transition period. Acta Geographica Sinica, 10, 1046–1056.
Yang, S., & Wang, C. (2006). A sociological study on the differentiation of the urban residential space in Shanghai. Society, 26(6), 117–137.
Li, M., & Zhou, Y. (2018). Spatial different and formation mechanism of the Affordable Housing Communities: Taking Wuhan City for example. Urban Problems, 10, 77–84.
Long, D., Li, W., & Chen, Y. (2017). Analysis of social-spatial differentiation in the construction of new urban area. Modern Urban Research, 0(10), 122–127.
Song, W., & Mao, N. (2017). Coupling mechanism and spatial-temporal pattern of residential differentiation from the perspective of housing prices: A case study of Nanjing. Acta Geographica Sinica, 72(04), 589–602.
Sun, Q., & Tang, F. (2015). The comparison of city housing price spatial variances based on spatial expansion and geographical weighted regression models. Geographical Research, 34(07), 1343–1351.
Gu, X., & Zhou, L. (2015). Spatial differentiation and influencing factors of Wuhan’s housing price based on GWR model. Territory and Natural Resources Study, 03, 63–68.
Liu, W., & Weng, J. (2007). The impact of housing reform on residential differentiation in urban China. Human Geography, 01, 49–52.
Pu, H. (2015). The effects of residential patterns and Chengzhongcun housing on segregation in Shenzhen. Eurasian Geography and Economics, 56(3), 308–330.
Clark, D., & Davies, W. K. D. (1974). The application of factor analysis in human geography. Journal of the Royal Statistical Society, 23(3/4), 259–281.
Wang, Y., & Li, Q. (2014). Determinants and dynamics of spatial differentiation of housing price in Yangzhou. Progress in Geography, 33(03), 375–388.
Wu, Q. (2016). The theory and empirical study of the difference of living space in large cities. Science Press.
Song, W., Zhu, X., & Wu, Q. (2010). The process, characteristics and comments of gentrification in China: A case study of Nanjing. City Planning Review, 34(04), 14–20.
Xue, B., Xiao, X., et al. (2019). POI-based analysis on the affecting factors of property prices’ spatial distribution in the traditional industrial area. Human Geography, 34(04), 106–114.
Li, H., Wei, Y. D., Wu, Y., & Tian, G. (2019). Analyzing housing prices in Shanghai with open data: Amenity, accessibility and urban structure. Cities, 91, 165–179.
Liu, Y., & Chen, T. (2020). Impact of urban park green space on the price of peripheral housing in Urumqi. Journal of Arid Land Resources and Environment, 34(11), 36–43.
Xue, B., Xiao, X., et al. (2019). POI-based spatial correlation of the residences and retail industry in Shenyang city. Scientia Geographica Sinica, 39(03), 442–449.
Xu, J. (2002). Mathematical methods in contemporary geography (2nd ed.). Higher Education Press.
Wang, Y., & Fang, C. (2013). Spatial differentiation and model evolution of housing prices in Yangzhou. Acta Geographica Sinica, 68(8), 1082–1096.
Cui, N., Feng, C., & Yu, S. (2017). Spatial pattern of residential land parcels and determinants of residential land price in Beijing. Acta Geographica Sinica, 72(6), 1049–1062.
Wu, X., & Yan, L. (2007). Setting parameters and choosing optimum semivariogram models of ordinary Kriging interpolation: A case study of spatial interpolation to January average temperature of Fujian province. Geo-lnformation Science, 9(3), 104–108.
Lou, L. (2004). Spatial analysis and application of urban land price information. Zhejiang University.
Brunsdon, C., et al. (1996). Geographically Weighted regression: A method for exploring spatial nonstationarity. Stata Technical Bulletin, 28(4), 281–298.
Wang, K., Cai, H., & Yang, X. (2016). Multiple scale spatialization of demographic data with multi-factor linear regression and geographically weighted regression models. Progress in Geography, 35(12), 1494–1505.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chen, Z., Song, B. (2021). Research on the Differentiation Mechanism of Commodity Residential Prices in Shenzhen. In: Lu, X., Zhang, Z., Lu, W., Peng, Y. (eds) Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate. CRIOCM 2020. Springer, Singapore. https://doi.org/10.1007/978-981-16-3587-8_36
Download citation
DOI: https://doi.org/10.1007/978-981-16-3587-8_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3586-1
Online ISBN: 978-981-16-3587-8
eBook Packages: Business and ManagementBusiness and Management (R0)