摘要
面对房地产市场库存高企、成交萎缩、房价下跌,地方政府实施放松限购政策以期缓解楼市转冷态势,关于放松限购政策影响住宅价格的空间计量研究相对匮乏。选取南宁市房地产市场数据,利用Moran’s I检验住宅价格的空间依赖性,把分位数回归方法引入空间滞后模型分析住房放松限购政策的空间异质性效应。研究发现实施放松限购政策在住宅价格分布的各个分位点处驱动房价上涨的效应不明显。政府应适时取消限购措施,通过市场化的手段促进房地产市场理性回归,发挥市场在资源配置中的决定性作用,构建房地产调控长效机制。
Local governments loose home-buying restrictions to try to solve the problems of high inventory,shrinking deal and falling house prices in China’s housing markets. The spatial effect of loosened home-buying restrictions on housing prices attracts much attention,on which the quantitative research is relatively scarce. This article takes Nanning’s housing market as an example,then uses Moran’s I to test the spatial dependence in housing prices,and incorporate spatial lag model with quantile regression to analyze the effect of loosened home-buying restrictions on housing prices. Our results reveal that loosened home-buying restrictions is hard to push housing prices up at all quantiles of the distribution of housing prices,which suggests that government should cancel home-buying restrictions in good time,promote the rational regression of housing market by means of marketing,let market play a decisive role in the allocation of resources and build long-term effective mechanism of housing regulation.
出处
《成都工业学院学报》
2016年第2期90-92,共3页
Journal of Chengdu Technological University
基金
江苏省普通高校研究生科研创新计划项目"基于空间分位数回归模型的房价异质性及调控政策研究"(KYZZ_0384)
滁州学院科研项目"基于时变非对称嵌套权重矩阵的房价贝叶斯空间分位数回归模型与实证研究"(2015GH25)
关键词
放松限购
房价
空间滞后依赖
分位数回归
loosened home-buying restriction
housing price
spatial dependence
quantile regression
