本文關(guān)鍵詞：完善特征價(jià)格模型評(píng)估房地產(chǎn)的應(yīng)用研究　出處：《長(zhǎng)安大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 特征價(jià)格模型 特征因素 房地產(chǎn) 批量評(píng)估

【摘要】：隨著我國(guó)的房地產(chǎn)市場(chǎng)日趨成熟，房地產(chǎn)交易量日益頻繁，以及國(guó)內(nèi)房產(chǎn)稅的全面征收指日可待，評(píng)估區(qū)域性大批量房地產(chǎn)的工作變得日趨重要。我國(guó)境內(nèi)在房地產(chǎn)評(píng)估方面，普遍運(yùn)用的三種基本的估價(jià)方法：成本法、比較法和收益法。然而這三種方法由于復(fù)制性不強(qiáng)，往往在房地產(chǎn)評(píng)估實(shí)務(wù)中不能很好的發(fā)揮其所有的優(yōu)勢(shì)。本文認(rèn)為將特征價(jià)格模型引入房地產(chǎn)評(píng)估，除了能在單宗評(píng)估中一定程度上彌補(bǔ)傳統(tǒng)方法的所存在的一些不足，還能在房地產(chǎn)的批量評(píng)估更好的發(fā)揮優(yōu)勢(shì)。通過(guò)比較分析境外運(yùn)用特征價(jià)格模型的案例，找尋境內(nèi)普遍運(yùn)用的傳統(tǒng)模型存在缺陷，發(fā)現(xiàn)傳統(tǒng)模型往往忽略了許多宏觀因素對(duì)房地產(chǎn)價(jià)格的影響并且忽略了宏觀因素例如人口屬性、地區(qū)經(jīng)濟(jì)發(fā)展度等都會(huì)對(duì)房屋自身特征造成影響。在涉及到這種問(wèn)題時(shí)，利用傳統(tǒng)的單層次模型進(jìn)行分析所得到的結(jié)論就會(huì)存在不小的誤差，所以從數(shù)學(xué)模型選用方面，我國(guó)也有一定的經(jīng)驗(yàn)可以吸取借鑒。 本文意在使用特征價(jià)格模型彌補(bǔ)三大傳統(tǒng)模型在批量評(píng)估房地產(chǎn)方面的缺陷，但由于普遍使用的傳統(tǒng)特征價(jià)格模型本身也存在缺陷，所以本文通過(guò)對(duì)比境內(nèi)外案例，總結(jié)出一些我國(guó)境內(nèi)在利用特征價(jià)格模型評(píng)估房地產(chǎn)時(shí)可以借鑒的經(jīng)驗(yàn)，不斷完善我國(guó)境內(nèi)特征價(jià)格模型評(píng)估房地產(chǎn)運(yùn)用。 本文從特征價(jià)格模型的理論基礎(chǔ)入手，明確了特征價(jià)格模型的基礎(chǔ)，假設(shè)，，代數(shù)范例等，再通過(guò)研究分析傳統(tǒng)的三大評(píng)估方法存的優(yōu)勢(shì)以及缺陷，闡述了在評(píng)估房地產(chǎn)方面，特征價(jià)格模型的必要性與可行性。然后分別分析了境內(nèi)境外兩個(gè)利用特征價(jià)格模型評(píng)估住宅房地產(chǎn)的案例，對(duì)其模型因素的選擇進(jìn)行了對(duì)比，得出了中國(guó)境內(nèi)普遍使用的傳統(tǒng)特征價(jià)格模型存在缺陷，從而在之后提出了對(duì)于我國(guó)使用特征價(jià)格模型的改進(jìn)建議，以及需要加強(qiáng)的宏觀因素等問(wèn)題。
[Abstract]:With the maturing of the real estate market in our country, the transaction volume of the real estate is becoming more and more frequent, and the comprehensive collection of the domestic real estate tax is just around the corner. The work of evaluating regional mass real estate has become increasingly important. In our country, three basic valuation methods are widely used in real estate evaluation: cost method. However, these three methods are not good enough to play their advantages in the practice of real estate evaluation because of their low replicability. In this paper, the characteristic price model is introduced into the real estate evaluation. In addition to the single evaluation to a certain extent to make up for the shortcomings of the traditional methods, but also in the batch evaluation of real estate to play a better advantage. Through comparative analysis of overseas use of feature price model cases. Looking for the defects of traditional models which are widely used in China, it is found that the traditional models often ignore the influence of many macro factors on real estate prices and ignore macro factors such as population attributes. The degree of regional economic development will have an impact on the characteristics of the house itself. When it comes to this problem, the conclusion obtained by using the traditional single-level model will have a large error. Therefore, from the mathematical model selection, our country also has certain experience to draw lessons from. The purpose of this paper is to use the feature price model to make up for the defects of the three traditional models in the batch evaluation of real estate, but because of the commonly used traditional feature price model itself there are defects. Therefore, by comparing domestic and foreign cases, this paper sums up some experience that can be used for reference when using characteristic price model to evaluate real estate in our country, and continuously consummates the application of feature price model in our country to evaluate real estate. Starting with the theoretical basis of the feature price model, this paper clarifies the basis, hypothesis and algebraic example of the feature price model, and then analyzes the advantages and disadvantages of the traditional three evaluation methods. This paper expounds the necessity and feasibility of the feature price model in the evaluation of real estate, and then analyzes two cases of using the characteristic price model to evaluate the residential real estate in China and abroad. By comparing the selection of its model factors, the author draws the conclusion that the traditional feature price model commonly used in China has defects, and then puts forward some suggestions to improve the feature price model used in China. And need to strengthen the macro-factors and other issues.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F299.233.42

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