發(fā)布時間：2018-10-25 16:11

【摘要】：隨著宜居性城市的提出,人們越來越重視城市綠地景觀的建設。城市公園在城市中起著改善生態(tài)環(huán)境,美化綠化的作用,因此其具有一定的生態(tài)價值。除此之外,還為城市居民提供旅游、休閑、鍛煉、社交或集體活動的場所,具有一定的旅游休閑價值。城市公園作為一個吸引人們在某地居住的重要因素已經(jīng)被廣泛認識到。但是,城市公園作為公共物品,它的經(jīng)濟價值往往是隱性的,無法用顯性的貨幣去衡量,進而對其經(jīng)濟價值進行量化。本文實踐意義在于使太原市政府及房地產(chǎn)市場更加明確城市公園景觀對住宅價值的影響。二手房的研究也對未來房地產(chǎn)市場去庫存的研究奠定了基礎。理論意義在于不僅深入了使用特征價格模型評估公園景觀價值的研究,而且對其它城市景觀的價值評估有一定的借鑒意義。本文以山西省太原市的六個行政區(qū)的建成區(qū)的二手房住宅為研究對象,基于GIS技術,采用特征價格模型,使用SPSS,Geoda等軟件來進行數(shù)據(jù)統(tǒng)計,對公園質量進行分類,來比較鄰近公園的面積、分類、功能對住宅價格的影響。揭示了鄰近公園的價值,得出公園與住宅價格之間的數(shù)量關系。以下是本文所做的工作和得出的結論:(1)本文首先使用特征價格模型對太原市建成區(qū)的二手房的公園效應進行了研究。通過對以往研究進行整理,從三個層面選擇合適的變量并對其量化。以太原市六個行政區(qū)的建成區(qū)為研究區(qū)域。收集區(qū)域內(nèi)300個有效住宅樣本進行研究,對樣本數(shù)據(jù)進行量化處理。(2)對城市公園的功能進行了討論,總結出公園的四大功能,并對公園進行分類,分為了文化遺址公園、游樂公園、綜合性公園、社區(qū)公園、生態(tài)公園。根據(jù)這五種類型公園的質量和面積對住宅價格的影響,對其賦予權重并繪制太原市公園分布圖。(3)構建特征價格模型對城市公園對住宅價格影響進行實證分析。得出了公園變量與住宅價格的定量關系;在進入模型的變量中,根據(jù)其價格彈性系數(shù),得出了各變量對住宅價格影響的大小關系。(4)通過對模型的莫蘭指數(shù)檢驗,發(fā)現(xiàn)了太原市的住宅價格之間存在一定的空間相關性,所以使用空間計量模型會更切合實際。通過各項指標的對比發(fā)現(xiàn)空間計量模型更具有穩(wěn)定性和有效性,優(yōu)于傳統(tǒng)模型。傳統(tǒng)模型中忽略了變量之間的空間相關性和缺失變量,導致結果會和實際出現(xiàn)一定的偏差,所以采用空間計量模型會使估計結果更優(yōu)。
[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.
【學位授予單位】：山西財經(jīng)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：F299.23

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本文編號：2294202