本文選題：住宅市場(chǎng) + 住宅價(jià)格��； 參考：《浙江大學(xué)》2013年碩士論文

【摘要】：隨著我國(guó)城市化進(jìn)程的推進(jìn)和住宅市場(chǎng)的不斷完善,房地產(chǎn)業(yè)已經(jīng)成為國(guó)民經(jīng)濟(jì)支柱產(chǎn)業(yè)之一,住宅價(jià)格也成為城市居民、政府和房地產(chǎn)開(kāi)發(fā)商關(guān)注的熱點(diǎn)問(wèn)題。住宅價(jià)格與地理空間位置有著十分密切的關(guān)系,不同區(qū)位的住宅價(jià)格水平不同其上漲幅度也不一致,存在明顯的空間分異現(xiàn)象。本文以上海作為研究對(duì)象,從特征價(jià)格的視角出發(fā),研究城市住宅價(jià)格和特征價(jià)格之間的關(guān)系,揭示城市住宅價(jià)格空間分異的形成機(jī)制。 本文首先總結(jié)了住宅價(jià)格空間分異理論、特征價(jià)格模型以及GIS空間表達(dá)方法。從微觀角度入手,收集整理了820份上海市2012年7月份的城市住宅價(jià)格及相關(guān)信息,運(yùn)用ArcGIS工具,通過(guò)空間插值繪制了上海市外環(huán)以內(nèi)住宅價(jià)格的等值線圖、價(jià)格空間分布圖和特征變量專題圖。圖形表明,上海市住宅價(jià)格以靜安寺為核心,向周圍梯度下降,而在浦東地區(qū),以陸家嘴為核心,向外圍梯度下降,此外還有多個(gè)區(qū)域中心。在此基礎(chǔ)上,采用19個(gè)特征變量作為自變量,建立了上海市住宅價(jià)格的特征價(jià)格模型,研究了特征變量對(duì)住宅價(jià)格的影響程度和邊際價(jià)格。實(shí)證結(jié)果表明,12個(gè)特征變量對(duì)住宅價(jià)格的影響是顯著的,且對(duì)住宅價(jià)格的影響程度不同。最后,基于特征價(jià)格模型的結(jié)果,總結(jié)了上海市城市住宅價(jià)格空間分異的直接原因和外部動(dòng)力。 本文的實(shí)證研究結(jié)果,可為上海市政府進(jìn)行城市規(guī)劃、房地產(chǎn)開(kāi)發(fā)商選址、城市居民購(gòu)房提供參考,也可為對(duì)其他城市進(jìn)行類似研究提供實(shí)證依據(jù)。
[Abstract]:With the development of urbanization and the improvement of housing market, real estate industry has become one of the pillar industries of the national economy, and the housing price has become a hot issue for the urban residents, the government and the real estate developers. There is a close relationship between housing price and geographical location, and the price level of different location is not consistent with its rising range, and there is obvious spatial differentiation phenomenon. This paper takes Shanghai as the object of study, from the perspective of characteristic price, studies the relationship between urban housing price and characteristic price, and reveals the formation mechanism of spatial differentiation of urban housing price. This paper first summarizes the housing price spatial differentiation theory, characteristic price model and GIS space representation method. From the micro perspective, 820 urban housing prices and related information of Shanghai in July 2012 were collected and sorted out. Using ArcGIS tools, the contour map of housing prices in the outer ring of Shanghai was drawn by spatial interpolation. Price spatial distribution map and feature variable thematic map. The figure shows that the residential price in Shanghai is centered at Jing'an Temple and descending toward the surrounding gradient, while in the Pudong area, with Lujiazui as the core, the gradient to the periphery decreases, and there are several regional centers. On this basis, using 19 characteristic variables as independent variables, the characteristic price model of housing price in Shanghai is established, and the influence degree and marginal price of characteristic variables on housing price are studied. The empirical results show that the influence of 12 characteristic variables on housing price is significant and the influence degree on housing price is different. Finally, based on the results of the characteristic price model, the paper summarizes the direct causes and external dynamics of the spatial differentiation of urban housing prices in Shanghai. The empirical results of this paper can provide a reference for Shanghai municipal government to carry out urban planning, real estate developers location, urban residents to purchase housing, but also for other cities to provide empirical evidence for similar research.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F299.27

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本文編號(hào)：1990558