空间功能视角下的公共服务对房价的影响——以成都市为例
发布时间：2018-08-17 13:31
【摘要】：房价的快速上涨和城市内部房价的巨大差异引起社会广泛关注,调控房价,防止局部区域房价过热势在必行。本文从城市空间功能的视角出发,以成都市2016年房价为例,基于地理探测器分析公共服务对房价的影响。结果表明:成都平均房价为8480元/m2,并从市中心沿交通环线和放射状干线同时向郊区递减,形成圈层加放射格局,总体上呈现西高东低、南高北低的特点。公共服务(主要包括医疗、金融和教育服务)对房价的影响以第三圈层和西南方最为显著,且高于城市层面上整体的影响。公共服务对房价的影响显著受不同区域的空间功能差异的影响,公共服务和空间功能差异会加剧房价的分异格局,并推动局部房价过热。因此,显著地受到在房价调控中,不仅要有传统的金融、经济政策,还要注重空间功能和公共服务的优化。
[Abstract]:The rapid rise of house price and the huge difference of the house price in the city cause widespread concern of the society. It is imperative to regulate the house price and prevent the local area housing price from overheating. From the perspective of urban spatial function, this paper takes the housing price of Chengdu in 2016 as an example, and analyzes the influence of public service on housing price based on geographical detector. The results show that the average housing price in Chengdu is 8480 yuan / m ~ (2), which decreases from the center of the city to the suburbs along the traffic ring line and radial trunk line, and forms a pattern of circle plus radiation, which shows the characteristics of high in west and low in east, high in south and low in north and south. The impact of public services (including medical, financial and educational services) on housing prices is most significant in the third tier and southwest, and higher than the overall impact at the urban level. The influence of public service on housing price is significantly affected by the spatial function difference of different regions. The difference of public service and spatial function will aggravate the differentiation pattern of house price and promote the overheating of local housing price. Therefore, in the regulation of house price, we should not only have the traditional financial and economic policies, but also pay attention to the optimization of space function and public service.
【作者单位】： 中国科学院水利部成都山地灾害与环境研究所/山区发展研究中心;中国科学院大学;成都信息工程大学管理学院;
【基金】：国家自然科学基金项目(41471469,41601141) 中国科学院院长基金(2017) 四川省软科学研究计划项目(2015ZR0115)~~
【分类号】：F299.23
，
本文编号：2187790
[Abstract]:The rapid rise of house price and the huge difference of the house price in the city cause widespread concern of the society. It is imperative to regulate the house price and prevent the local area housing price from overheating. From the perspective of urban spatial function, this paper takes the housing price of Chengdu in 2016 as an example, and analyzes the influence of public service on housing price based on geographical detector. The results show that the average housing price in Chengdu is 8480 yuan / m ~ (2), which decreases from the center of the city to the suburbs along the traffic ring line and radial trunk line, and forms a pattern of circle plus radiation, which shows the characteristics of high in west and low in east, high in south and low in north and south. The impact of public services (including medical, financial and educational services) on housing prices is most significant in the third tier and southwest, and higher than the overall impact at the urban level. The influence of public service on housing price is significantly affected by the spatial function difference of different regions. The difference of public service and spatial function will aggravate the differentiation pattern of house price and promote the overheating of local housing price. Therefore, in the regulation of house price, we should not only have the traditional financial and economic policies, but also pay attention to the optimization of space function and public service.
【作者单位】： 中国科学院水利部成都山地灾害与环境研究所/山区发展研究中心;中国科学院大学;成都信息工程大学管理学院;
【基金】：国家自然科学基金项目(41471469,41601141) 中国科学院院长基金(2017) 四川省软科学研究计划项目(2015ZR0115)~~
【分类号】：F299.23
，
本文编号：2187790
本文链接：https://www.wllwen.com/jingjifazhanlunwen/2187790.html
