摘要
将改进熵权和灰色关联分析法相结合,以2001年~2015年天津市商品房销售均价等相关数据为样本,建立天津市商品房价格影响因素分析模型。实证结果表明,居民购买力水平和地区经济发展水平对房地产价格的影响较为显著,基础设施建设水平和房地产市场环境对房地产价格的影响次之。依据实证分析结果,提出了加快住房制度改革步伐、引导居民合理消费,提高经济竞争力、建立房地产泡沫预警机制,降低房地产建设成本、优化居住环境等对策建议。
By combining the improved entropy weight and grey correlation analysis, this paper takes average price of Tianjin commercial houses fi：om 2001 to 2015 and other related data as samples to establish the impacting factor model. The empirical results reveal that, the impact of inhabitant purchasing power and regional economic development level is more sig- nificant on real estate price, and the impact of infrastructure construction level and real estate market environment is secondary. According to the empirical analysis, this paper puts forward countermeasures of accelerating reform of housing system, guiding reasonable inhabitant consumption, raising economic competitiveness, establishing early warning mechanism for real estate, re- ducing real estate construction cost and optimizing living environment.
出处
《价格月刊》
北大核心
2017年第12期1-5,共5页
基金
本文系国家自然科学基金资助项目"城市公共基础设施利用效益研究"(编号:NSF 71273186)
关键词
改进熵权
灰色关联模型
房地产价格
improved entropy weight
grey correlation model
real estate price
