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郑州市住房租金水平空间分布及影响因素研究

A Study on the Spatial Distribution and Influencing Factors of Housing Rents in Zhengzhou

【作者】 徐静

【导师】 刘晓英;

【作者基本信息】 郑州大学 , 土地资源管理, 2020, 硕士

【摘要】 随着我国城镇化进程的加速,导致城市常驻人口急剧上升,而我国住房租赁市场发展不够完善,还不足以完全应对因人口涌入而带来的超高租房需求。本文从住房租金水平的角度对住房租赁市场进行分析,更能清晰了解住房租赁市场发展的状况。郑州市近些年经济速度发展,常驻人口不断增加,被列为发展住房租赁市场的试点城市,因此本文以郑州市为例,对郑州市住房租金水平空间分布进行研究。首先,对郑州市住房租金水平的空间分布现状进行分析。从郑州市整体和区域两个方面分析住房租金水平空间分布,发现郑州市住房租金水平最高的区域是郑东新区、最低的区域是惠济区;郑州市住房租金水平空间分布存在差异,表现在住房租金水平结构不合理、租住群体空间分层聚集和在居住-就业空间上分层聚集等方面。其次,从区位特征、建筑特征和邻里特征三个方面对郑州市住房租金水平空间差异进行影响机理分析;并梳理有关住房租金水平影响因素的文献;最终确定15个影响因素并进行量化。接着,对郑州市住房租金水平影响因素进行实证分析。将多元线性模型和多元线性对数模型进行对比,选用拟合度更高的多元线性对数模型;对郑州市整体市场和细分市场进行实证分析,在整体市场上,共有12个影响因素通过检验,建筑面积的影响因子最大,总楼层的影响因子最小;在细分市场上,不同区域住房租金水平的影响因素各有不同。如金水区通过13个影响因素的检验;管城区通过6个影响因素的检验等。通过上述研究,本文提出以下建议:第一,郑州市在发展过程中应树立紧凑型城市的发展理念,优化郑州市产业空间布局和优化郑州市租赁住房的空间布局。第二,郑州市政府应增加住房租赁的数量,合理规划各区域租赁住房的供给,提高郑州市租赁住房供给的质量。第三,郑州市政府在公共服务设施方面应合理分配郑州市各区域公共服务的财政支出和区域内部的公共服务设施。

【Abstract】 With the acceleration of China’s urbanization process,the city’s resident population has risen sharply,and the development of China’s housing rental market is not perfect,and it is not enough to fully respond to the ultra-high rent demand caused by the influx of population.This article analyzes the housing rental market from the perspective of housing rent levels,and can better understand the development status of the housing rental market.In recent years,Zhengzhou’s economy has developed rapidly,and its resident population has been increasing.It is listed as a pilot city for the development of the housing rental market.Therefore,this paper takes Zhengzhou as an example to study the spatial distribution of housing rent levels in Zhengzhou.First,analyze the spatial distribution of housing rents in Zhengzhou.Analyzing the spatial distribution of housing rent levels from the overall and regional aspects of Zhengzhou City,it was found that the area with the highest housing rent level in Zhengzhou was Zhengdong New District and the lowest area was Huiji District;the spatial distribution of housing rent levels in Zhengzhou differed,manifested in The housing rent level structure is unreasonable,the space of the renting group is stratified and clustered,and the stratification and aggregation of the residence-employment space is stratified.Secondly,from the three aspects of location characteristics,architectural characteristics and neighborhood characteristics,the impact mechanism analysis of the spatial difference in housing rent level in Zhengzhou was carried out;and the literature on the influencing factors of housing rent level was sorted out;15 influencing factors were finally determined and quantified.Next,an empirical analysis of the influencing factors of housing rent level in Zhengzhou City.Compare the multivariate linear model with the multivariate linear logarithmic model,select the multivariate linear logarithmic model with higher fitting degree;conduct an empirical analysis on the overall market and market segments of Zhengzhou City.In the overall market,a total of 12 factors affect Examination shows that the influencing factor of the building area is the largest and the influencing factor of the total floors is the smallest;in the segmented market,the influencing factors of the housing rent levels in different regions are different.For example,Jinshui District passed the test of 13 influencing factors;Guancheng District passed the test of 6 influencing factors.Through the above research,this article makes the following suggestions: First,Zhengzhou should establish a compact city development concept in the development process,optimize the industrial space layout of Zhengzhou and optimize the spatial layout of rental housing in Zhengzhou.Second,the Zhengzhou Municipal Government should increase the number of housing leases,rationally plan the supply of rental housing in various regions,and improve the quality of rental housing supply in Zhengzhou.Third,the Zhengzhou Municipal Government should reasonably allocate the fiscal expenditures of public services in various regions of Zhengzhou and the public service facilities within the region in terms of public service facilities.

  • 【网络出版投稿人】 郑州大学
  • 【网络出版年期】2021年 02期
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