城市基础设施建设与房地产价格变动的相关性研究——基于35个大中城市面板数据分析

发布时间：2018-04-13 08:05

本文选题：城市基础设施 + 房地产价格　；参考：《价格理论与实践》2017年04期

【摘要】：城市房地产价格与城市发展水平密切相关,城市基础设施完善程度是城市发展水平的重要体现。因此,房地产价格变动与城市基础设施建设情况密不可分。本文将城市基础设施作为影响房价的因素,通过对我国35个大中城市的交通设施、医疗设施、邮电通信、商业服务和教育设施等五个方面进行基础设施相关数据的搜集整理,用曲线回归分析方法研究二者间规律,得出城市基础设施与房价成正相关且契合二次回归函数的规律,五个一级影响因素中交通设施对房价的影响效果最明显,这些客观规律将对政策的制定起到一定的参考作用。当然,典型大中城市房地产价格随配套基础设施的完善而上涨的态势并不能说明是基础设施的建设催生了高房价,而应该理性地认识到正是由于我国城市配套基础设施的不完善加剧了城镇居民对稀缺资源的竞争程度。在城市配套基础设施达到一定的完善程度以后,居民对于市中心配套设施的竞争程度就会下降。
[Abstract]:The price of urban real estate is closely related to the level of urban development, and the degree of perfection of urban infrastructure is an important embodiment of the level of urban development.Therefore, real estate price changes and urban infrastructure construction is inseparable.This article regards the urban infrastructure as the factor that affects the housing price, through the transportation facilities, the medical facilities, the post and telecommunications, the commercial service and the education facility of 35 big and medium cities of our country carries on the infrastructure related data collection and collation.By using the method of curve regression analysis, the law of positive correlation between urban infrastructure and housing price is obtained. Among the five primary influencing factors, the effect of traffic facilities on housing price is the most obvious.These objective laws will play a certain reference role in the formulation of policies.Of course, the rising trend of real estate prices in typical large and medium-sized cities with the improvement of supporting infrastructure does not mean that the construction of infrastructure has given birth to high housing prices.It should be rationally realized that it is the imperfection of supporting infrastructure in Chinese cities that intensifies the competition of urban residents for scarce resources.After a certain degree of perfection of urban supporting infrastructure, the competition degree of the residents for the supporting facilities in the city center will decline.
【作者单位】：西华大学建设与管理工程学院;
【基金】：住房城乡建设部科学技术计划资助项目:城市基础设施承载能力研究(2016-R2-040)
【分类号】：F299.23;F299.24

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