本文選題：房?jī)r(jià)　切入點(diǎn)：教育資源　出處：《江西財(cái)經(jīng)大學(xué)》2017年碩士論文

【摘要】：我國(guó)住房制度改革開(kāi)始于1998年雖然起步較晚,但之后很快就進(jìn)入房地產(chǎn)高速發(fā)展期,開(kāi)始了房地產(chǎn)業(yè)真正意義上的發(fā)展。據(jù)國(guó)家統(tǒng)計(jì)局?jǐn)?shù)據(jù)顯示全國(guó)住宅商品房銷售價(jià)格由2005年的2937元/平方米,上升到了2015年的6473元/平方米,增長(zhǎng)了1.2倍,年平均增速達(dá)12.04%。房地產(chǎn)價(jià)格的過(guò)快上漲不僅會(huì)破壞房地產(chǎn)行業(yè)的健康發(fā)展,還會(huì)導(dǎo)致大量的資本從其他領(lǐng)域進(jìn)入房地產(chǎn)行業(yè),影響經(jīng)濟(jì)的健康發(fā)展。收入水平、土地成本、失業(yè)率等因素是影響房地產(chǎn)價(jià)格的諸多因素之一,除此以外還存在教育資源對(duì)房地產(chǎn)價(jià)格的影響。本文以我國(guó)34個(gè)主要城市為樣本,運(yùn)用Stata軟件進(jìn)行面板數(shù)據(jù)回歸,分析了教育資源對(duì)房?jī)r(jià)的影響,這種影響具體表現(xiàn)在兩方面:首先,不同類型的教育資源對(duì)房地產(chǎn)價(jià)格的影響程度不同,表現(xiàn)為基礎(chǔ)教育資源對(duì)房地產(chǎn)價(jià)格的影響程度要強(qiáng)于高等教育資源對(duì)房地產(chǎn)價(jià)格的影響程度;其次,教育資源對(duì)房地產(chǎn)價(jià)格的影響程度存在區(qū)域差異。表現(xiàn)為:在經(jīng)濟(jì)發(fā)展水平較高的城市,中學(xué)教育資源的分布對(duì)房?jī)r(jià)的影響要強(qiáng)于經(jīng)濟(jì)發(fā)達(dá)城市,中學(xué)教育資源對(duì)房?jī)r(jià)的影響。以上結(jié)果對(duì)于現(xiàn)實(shí)的指導(dǎo)意義在于:一是政府在對(duì)房地產(chǎn)市場(chǎng)調(diào)控,保證市場(chǎng)健康發(fā)展的同時(shí)也應(yīng)關(guān)注教育資源對(duì)房?jī)r(jià)的影響;二是要促進(jìn)教育資源的合理分配,實(shí)現(xiàn)教育資源的均衡分布,實(shí)現(xiàn)經(jīng)濟(jì)發(fā)達(dá)城市和經(jīng)濟(jì)落后城市擁有公平、均等的受教育機(jī)會(huì),三是在涉及到房地產(chǎn)評(píng)估的實(shí)際案例中,應(yīng)該重點(diǎn)區(qū)分房地產(chǎn)周邊教育資源的分布狀況、類型。區(qū)分基礎(chǔ)教育資源和非基礎(chǔ)教育資源;區(qū)分經(jīng)濟(jì)發(fā)展水平存在差異的區(qū)域的教育資源。在房地產(chǎn)評(píng)估實(shí)務(wù)中給予不同的權(quán)重和分值,從而使得資產(chǎn)的評(píng)估價(jià)值更接近于公允價(jià)值。對(duì)于個(gè)人消費(fèi)者來(lái)說(shuō),應(yīng)該傾向于持有經(jīng)濟(jì)較發(fā)達(dá)城市中靠近中學(xué)的房產(chǎn)。
[Abstract]:Although the reform of housing system in our country started late in 1998, it soon entered the period of rapid development of real estate, which began the real development of real estate industry.According to data from the National Bureau of Statistics, the national sales price of commercial residential housing rose from 2937 yuan per square meter in 2005 to 6473 yuan per square meter in 2015, an increase of 1.2 times, with an annual average growth rate of 12.04 yuan per square meter.The rapid rise of real estate prices will not only damage the healthy development of the real estate industry, but also lead to a large amount of capital from other areas into the real estate industry, affecting the healthy development of the economy.Income level, land cost, unemployment rate and other factors are one of the factors that affect the real estate price. In addition, there is the influence of educational resources on the real estate price.In this paper, 34 major cities in China are taken as samples and panel data regression is carried out by using Stata software to analyze the impact of educational resources on housing prices, which is manifested in two aspects: first,Different types of educational resources have different effects on real estate prices, which are shown by the fact that the impact of basic education resources on real estate prices is stronger than that of higher education resources on real estate prices. Secondly,There are regional differences in the influence of educational resources on real estate prices.In the cities with higher economic development level, the distribution of secondary school education resources has stronger influence on housing prices than that in economically developed cities, and secondary school education resources have influence on housing prices.The guiding significance of the above results lies in: first, the government should pay attention to the impact of educational resources on housing prices while regulating the real estate market to ensure the healthy development of the market; second, it is necessary to promote the rational distribution of educational resources.To realize the balanced distribution of educational resources and to realize that economically developed cities and economically backward cities have fair and equal access to education, third, in the actual cases involving real estate evaluation,Should distinguish the distribution of educational resources around real estate, type.Distinguish between the basic education resources and the non-basic education resources, and distinguish the educational resources of the regions where the economic development level is different.In the real estate appraisal practice gives different weight and the score, thus causes the asset appraisal value to be closer to the fair value.For individual consumers, they should tend to hold properties near secondary schools in more developed cities.
【學(xué)位授予單位】：江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：G521;F299.23

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 洪世鍵;周玉;;基于特征價(jià)格法的學(xué)區(qū)房?jī)r(jià)格外溢效應(yīng)探討——以廈門島為例[J];建筑經(jīng)濟(jì);2016年02期

2 徐夢(mèng)潔;張周青;;城市教育設(shè)施對(duì)住房?jī)r(jià)格的影響——以南京市為例[J];開(kāi)發(fā)研究;2015年05期

3 哈巍;吳紅斌;余韌哲;;學(xué)區(qū)房溢價(jià)新探——基于北京市城六區(qū)重復(fù)截面數(shù)據(jù)的實(shí)證分析[J];教育與經(jīng)濟(jì);2015年05期

4 周業(yè)安;王一子;;教育資源、教育政策對(duì)城市居住用地價(jià)格的影響——基于北京市土地市場(chǎng)的數(shù)據(jù)分析[J];中國(guó)人民大學(xué)學(xué)報(bào);2015年05期

5 盧為民;張琳薇;;學(xué)區(qū)房問(wèn)題的根源與破解路徑探析[J];教育發(fā)展研究;2015年Z2期

6 劉潤(rùn)秋;孫瀟雅;;教育質(zhì)量“資本化”對(duì)住房?jī)r(jià)格的影響——基于成都市武侯區(qū)小學(xué)學(xué)區(qū)房的實(shí)證分析[J];財(cái)經(jīng)科學(xué);2015年08期

7 張周青;徐夢(mèng)潔;;義務(wù)教育設(shè)施和非義務(wù)教育設(shè)施對(duì)房?jī)r(jià)影響的分析——以南京市為例[J];經(jīng)濟(jì)研究導(dǎo)刊;2015年20期

8 鄭磊;王思檬;;學(xué)校選擇、教育服務(wù)資本化與居住區(qū)分割——對(duì)“就近入學(xué)”政策的一種反思[J];教育與經(jīng)濟(jì);2014年06期

9 王振坡;梅林;王麗艷;;教育資本化視角下“學(xué)區(qū)房”空間布局研究——以天津市中心城區(qū)為例[J];中國(guó)房地產(chǎn);2014年10期

10 張浩;李仲飛;鄧柏峻;;教育資源配置機(jī)制與房?jī)r(jià)——我國(guó)教育資本化現(xiàn)象的實(shí)證分析[J];金融研究;2014年05期

相關(guān)碩士學(xué)位論文 前3條

1 趙艷;教育資源差異化對(duì)房地產(chǎn)價(jià)格的影響[D];浙江大學(xué);2016年

2 周宇澄;教育資源對(duì)住宅價(jià)格影響研究[D];南京林業(yè)大學(xué);2015年

3 王旭程;房?jī)r(jià)與教育資源關(guān)系的實(shí)證研究[D];中國(guó)科學(xué)技術(shù)大學(xué);2011年

，

本文編號(hào)：1707197