Evaluation of health status in national housing market at the county level
In order to investigate the health status and spatial pattern of current housing market in China,based on 2009-2013 national residential land transaction data at the county level,this study proposes land price-economy coordination degree,land price-income matching degree,the contribution of land revenue to local financial revenue,the proportion of land transaction through market-oriented approaches (including bid invitation,auction and listing),and housing market transaction activity as evaluation indicators.Then the Ward hierarchical clustering method is used to produce a comprehensive regionalization of housing market health status in China.Finally the spatial variation of housing market health status in China's key regions (Yangtze River Delta,Pearl River Delta and Jing-Jin-Tang area) is analyzed at city level.The results show that:(1) The overall housing market health level in China needs to be improved.Some 34.48％ of the research units are in reasonable health interval,and mainly distributed in southern Tianshan piedmont,Northeast China Plain,Shandong Peninsula,Dongting Lake area and other areas.Land price-economy coordination degree,land price-income matching degree and the contribution of land revenue to local financial revenue are main indicators that affect housing market health.(2) The housing market health status in China during the study period can be divided into five types consisting of "coordinated development" (Class Ⅰ),"strong demand" (Class Ⅱ),"economic deviation" (Class Ⅲ),"financial dependence" (Class Ⅳ) and "imbalanced structure" (Class Ⅴ),accounting for 34.48％,22.90％,23.06％,10.07％ and 9.49％ respectively.(3) Key regions' housing market health has significant spatial variation in land price-economy coordination degree,land price-income matching degree and housing market transaction activity.Under the requirements of current central work conference on urbanization,it is necessary for government to promote healthy and orderly development of housing market through appropriate control policies based on regional characteristics.
NETL
NSTL
万方数据
维普
