摘要
近10多年来,我国房地产业高速发展,住房市场价格呈现持续上涨的特征。本文运用聚类分析方法,依据房价波动情况,将全国35个大中城市划分为三类。在此基础上,从全国层面以及不同类别城市的角度进行比较分析,通过回归分析得出以下结论:除了地价、居民收入、信贷规模等宏观性的影响因素外,城市基础设施、教育、医疗卫生等公共服务的投入也在一定程度上影响着房价的变动以及不同城市房价水平的差别。
In the recent decade, the Chinese real estate industry develops very fast and the price of housing market presents a characteristics of constant rise. In this paper, we use the clustering analysis method to classify 35 large and medium-sized cities into three groups based on the overall changes of the housing price and then make analysis and comparison from the view of national wide as well as the city groups. We conclude based on the regression analysis that besides the major macro influencing factors such as the land price, residents＇ income and the credit amounts of financial institutions, the investment of urban infrastructure and public service such as education and medical care, to some extent, influences the change of housing price.
出处
《经济理论与经济管理》
CSSCI
北大核心
2010年第8期5-14,共10页
Economic Theory and Business Management
基金
教育部"211工程"三期子项目"中国特色的公共管理与公共政策学科平台建设"
关键词
住房价格
变动趋势
聚类分析
影响因素
housing price
the trend of change
clustering analysis
influencing factors
