Research on the spatial correlation between the high-quality basic education resources and housing prices to pursuing a balanced development:A case study of Guangzhou
The studies on balancing high-quality basic education development and controlling the increasing housing prices for sustainable development and social equity in big cities have drawn a huge academic attention.Taking Guangzhou's sub-districts as study areas,this research investigates the relationships of spatial distribution between housing prices and the high-quality schools with different grades and stages through examining point of interest(POI)data.The re-sults show that:① The public fiscal investment,educational reforms,enrollment changes,popu-lation numbers,applicant poll,as well as the local history,spatial planning and its functions are key factors that affect the spatial relationships between high-quality schools and housing prices.(2)From the perspective of educational stages,high-quality elementary schools contribute the greatest correlation with housing prices,while sequentially the kindergartens,secondary schools and high schools are less related.③ The general spatial correlation presents a"core-periphery"differentiation between the inner city and the suburban area from high to low in the municipality of Guangzhou;while in sub-districts level,the higher the density of high-quality schools,the more costly the housing it is.④ There is a strong correlation relationship between the density of high-quality public schools and the high housing prices in city core,and there is a high agglomer-ation of high-quality private schools in the suburbs,especially the private kindergartens at the municipal level,contributes the greatest correlation with housing prices,while there is no correla-tion between the high quality schools and housing prices in the outskirts.The research calls for a reform to decrease the strong correlation between the high quality basic education and housing prices through rational planning by locating more better schools to suburban areas to change the imbalance of basic education distribution in Chinese cities.
NETL
NSTL
万方数据
