摘要
本文在研究京津冀房价现状的基础上,通过构建多元线性回归模型分析了城镇人均可支配收入、城镇人口数量、利率政策和房地产投资额度对京津冀地区房价的影响。针对模型分析得出的结论,提出了建立城镇居民增长长效机制;有效调控大城市的人口规模;采用恰当的货币政策;关注核心城市房价,实施精准调控等有效调控京津冀房价对策建议。
Based on the research of the real estate price in Beijing-Tianjin-Hebei region,this paper analyzes the influence of urban per capita disposable income,urban population,interest rate policy and real estate investment quota on the housing price in Beijing-Tianjin-Hebei region by constructing a multiple linear regression model.In response to the conclusions drawn from the model analysis,this article puts forward suggestions for effective control of housing prices in Beijing-Tianjin-Hebei,such as establishing a long-term mechanism for urban residents growth,effectively regulating the population size of large cities,implementing appropriate monetary policies,paying attention to housing prices in core cities and implementing precise regulation of housing prices,etc.
作者
郑宁
王梁雨生
孙静
任伟
ZHENG Ning;WANG Liangyusheng;SUN Jing;REN Wei(College of E-Commerce,Tangshan University)
出处
《中国商论》
2021年第6期10-12,共3页
China Journal of Commerce
基金
“河北省社会科学界联合会:京津冀协同发展背景下区域房价联动效应分析(20200203092)”的阶段研究成果。
关键词
京津冀
房价
居民可支配收入
Beijing-Tianjin-Hebei
housing price
residents'disposable income