太原市建成区二手房住宅价格的公园效应研究

发布时间：2018-10-25 16:11

【摘要】：随着宜居性城市的提出,人们越来越重视城市绿地景观的建设。城市公园在城市中起着改善生态环境,美化绿化的作用,因此其具有一定的生态价值。除此之外,还为城市居民提供旅游、休闲、锻炼、社交或集体活动的场所,具有一定的旅游休闲价值。城市公园作为一个吸引人们在某地居住的重要因素已经被广泛认识到。但是,城市公园作为公共物品,它的经济价值往往是隐性的,无法用显性的货币去衡量,进而对其经济价值进行量化。本文实践意义在于使太原市政府及房地产市场更加明确城市公园景观对住宅价值的影响。二手房的研究也对未来房地产市场去库存的研究奠定了基础。理论意义在于不仅深入了使用特征价格模型评估公园景观价值的研究,而且对其它城市景观的价值评估有一定的借鉴意义。本文以山西省太原市的六个行政区的建成区的二手房住宅为研究对象,基于GIS技术,采用特征价格模型,使用SPSS,Geoda等软件来进行数据统计,对公园质量进行分类,来比较邻近公园的面积、分类、功能对住宅价格的影响。揭示了邻近公园的价值,得出公园与住宅价格之间的数量关系。以下是本文所做的工作和得出的结论:(1)本文首先使用特征价格模型对太原市建成区的二手房的公园效应进行了研究。通过对以往研究进行整理,从三个层面选择合适的变量并对其量化。以太原市六个行政区的建成区为研究区域。收集区域内300个有效住宅样本进行研究,对样本数据进行量化处理。(2)对城市公园的功能进行了讨论,总结出公园的四大功能,并对公园进行分类,分为了文化遗址公园、游乐公园、综合性公园、社区公园、生态公园。根据这五种类型公园的质量和面积对住宅价格的影响,对其赋予权重并绘制太原市公园分布图。(3)构建特征价格模型对城市公园对住宅价格影响进行实证分析。得出了公园变量与住宅价格的定量关系;在进入模型的变量中,根据其价格弹性系数,得出了各变量对住宅价格影响的大小关系。(4)通过对模型的莫兰指数检验,发现了太原市的住宅价格之间存在一定的空间相关性,所以使用空间计量模型会更切合实际。通过各项指标的对比发现空间计量模型更具有稳定性和有效性,优于传统模型。传统模型中忽略了变量之间的空间相关性和缺失变量,导致结果会和实际出现一定的偏差,所以采用空间计量模型会使估计结果更优。
[Abstract]:With the development of livable city, more and more attention has been paid to the construction of urban green landscape. Urban parks play an important role in improving ecological environment and beautifying greening. In addition, it also provides a place for urban residents to travel, leisure, exercise, social or collective activities, with a certain value of tourism and leisure. As an important factor to attract people to live in a certain place, city parks have been widely recognized. However, as public goods, the economic value of urban park is often recessive, which can not be measured with explicit currency, and then its economic value is quantified. The practical significance of this paper lies in making Taiyuan municipal government and real estate market more clear about the impact of urban park landscape on residential value. Second-hand housing research also laid a foundation for the future real estate market to inventory research. The theoretical significance lies in not only the research on the evaluation of park landscape value by using the characteristic price model, but also the value evaluation of other urban landscape. In this paper, the second-hand housing in the six administrative districts of Taiyuan City of Shanxi Province is taken as the research object. Based on the GIS technology, the characteristic price model and the SPSS,Geoda software are used to carry out the data statistics and classify the park quality. To compare the area, classification, and function of adjacent parks to the impact of housing prices. The value of the adjacent parks is revealed, and the quantitative relationship between the park and the housing price is obtained. The following are the works and conclusions of this paper: (1) the park effect of second-hand houses in Taiyuan is studied by using the characteristic price model. Through sorting out the previous studies, selecting the appropriate variables from three levels and quantifying them. Taiyuan City to six administrative districts for the study of the establishment of the region. Collecting 300 valid housing samples in the area to carry on the research, carrying on the quantitative processing to the sample data. (2) discussed the function of the city park, summarized the four functions of the park, and classified the park, divided into the cultural heritage park, Amusement park, comprehensive park, community park, ecological park. According to the influence of the quality and area of the five kinds of parks on the housing price, this paper gives weight to them and draws the distribution map of the park in Taiyuan. (3) constructing the characteristic price model to analyze the impact of the urban park on the housing price. The quantitative relationship between the park variable and the housing price is obtained. In the variables entering the model, according to the price elasticity coefficient, the influence of each variable on the housing price is obtained. (4) through the Moran index test of the model, It is found that there is a certain spatial correlation between the housing prices in Taiyuan, so the use of spatial measurement model will be more practical. It is found that the spatial measurement model is more stable and effective than the traditional model. In the traditional model, the spatial correlation and missing variables between variables are ignored, which leads to a certain deviation between the results and the actual results, so the estimation results will be better by using the spatial econometric model.
【学位授予单位】：山西财经大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F299.23

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