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基于住房過(guò)濾理論的沈陽(yáng)市經(jīng)濟(jì)適用房供給模型構(gòu)建及應(yīng)用研究

發(fā)布時(shí)間:2018-03-03 01:29

  本文選題:經(jīng)濟(jì)適用房 切入點(diǎn):過(guò)濾模型 出處:《沈陽(yáng)建筑大學(xué)》2013年碩士論文 論文類型:學(xué)位論文


【摘要】:21世紀(jì)以來(lái),由于我國(guó)終濟(jì)的迅速發(fā)展帶動(dòng)了其他產(chǎn)業(yè)的快速發(fā)展,隨著住房政策的轉(zhuǎn)變,房地產(chǎn)市場(chǎng)得到了空前的發(fā)展,近兒年,沈陽(yáng)市的房地產(chǎn)價(jià)格提升的很快,導(dǎo)致部分中低收入階層無(wú)法通過(guò)自己的能力購(gòu)買適合自己的住房。這時(shí)需要政府根據(jù)房地產(chǎn)市場(chǎng)機(jī)制,對(duì)中低收入階層提供一些優(yōu)優(yōu)惠條件,建立適合沈陽(yáng)市房地產(chǎn)市場(chǎng)長(zhǎng)遠(yuǎn)發(fā)展的政策,F(xiàn)階段,沈陽(yáng)市政府為中低收入階層出臺(tái)的經(jīng)濟(jì)適用房政策并沒(méi)有完全符合沈陽(yáng)市住房現(xiàn)狀,對(duì)中低收入階層的住房需求并不能完全滿足,造成了資源的浪費(fèi),對(duì)沈陽(yáng)市的建設(shè)發(fā)展造成了一定的影響。為了使沈陽(yáng)市出臺(tái)的經(jīng)濟(jì)適用房政策適合沈陽(yáng)市房地產(chǎn)業(yè)的發(fā)展,能夠建立合理的符合沈陽(yáng)實(shí)際情況的供給結(jié)構(gòu),本文通過(guò)參考住房過(guò)濾理論及其模型來(lái)研究適合沈陽(yáng)市經(jīng)濟(jì)適用房的供給情況。從20世紀(jì)20年代初期,外國(guó)的專家首次提出了過(guò)濾理論開始,經(jīng)過(guò)其不斷的發(fā)展,此理論在國(guó)外的研究已經(jīng)比較成熟。根據(jù)限定住房過(guò)濾模型的部分假設(shè)條件,量化的分析沈陽(yáng)市現(xiàn)階段應(yīng)該新建經(jīng)濟(jì)適用房的總量,在住房整個(gè)生命周期中分析房屋價(jià)格和住房結(jié)構(gòu)問(wèn)題,按照沈陽(yáng)市房地產(chǎn)市場(chǎng)實(shí)際的運(yùn)行機(jī)理進(jìn)行模擬,F(xiàn)階段我國(guó)對(duì)住房過(guò)濾理論及其模型的研究比較少,大多數(shù)的研究還停留在理論研究的階段,因此本文借鑒住房過(guò)濾理論和外國(guó)典型的過(guò)濾模型,對(duì)其設(shè)定條件和參數(shù)確定進(jìn)行了擴(kuò)展,構(gòu)建了一個(gè)適合沈陽(yáng)市住房市場(chǎng)的供給模型,根據(jù)沈陽(yáng)市經(jīng)濟(jì)適用房的實(shí)際供給狀況進(jìn)行系統(tǒng)的分析。 本文通過(guò)研究現(xiàn)階段沈陽(yáng)市經(jīng)濟(jì)適用房市場(chǎng)的供給狀況,對(duì)Ohls過(guò)濾模型進(jìn)行了擴(kuò)展和補(bǔ)充,加入了適合沈陽(yáng)市房地產(chǎn)市場(chǎng)的價(jià)格和面積兩項(xiàng)因素,對(duì)沈陽(yáng)市經(jīng)濟(jì)適用房的供給模型進(jìn)行了構(gòu)建,根據(jù)中低收入階層的實(shí)際支付情況對(duì)模型的部分運(yùn)行條件進(jìn)行了限定,通過(guò)參數(shù)的確定,運(yùn)用MATLAB進(jìn)行了數(shù)值模擬,測(cè)算出在供給模型的運(yùn)行中沈陽(yáng)市經(jīng)濟(jì)適用房現(xiàn)階段應(yīng)該新建的總量和供給標(biāo)準(zhǔn),隨后對(duì)于政府為中低收入人群直接新建經(jīng)濟(jì)適用房還是進(jìn)行貨幣補(bǔ)貼這兩種供給政策進(jìn)行了比較分析,得出適合沈陽(yáng)市房地產(chǎn)業(yè)順利過(guò)濾并長(zhǎng)足發(fā)展的供給方式。最后根據(jù)沈陽(yáng)市實(shí)際的經(jīng)濟(jì)社會(huì)運(yùn)行狀況以及存在的問(wèn)題,提出了完善保障性住房的準(zhǔn)入退出機(jī)制、加大經(jīng)濟(jì)適用房投資比重、提高經(jīng)濟(jì)適用房的竣工率、充分放開存量房市場(chǎng)和采用現(xiàn)代技術(shù),提高管理水平等能夠減少過(guò)濾模型運(yùn)行障礙的建議。
[Abstract]:Since 21th century, due to the rapid development of China's final economy, the rapid development of other industries, with the change of housing policy, the real estate market has been unprecedented development. In recent years, the real estate prices in Shenyang have risen rapidly. As a result, some low- and middle-income people are unable to purchase housing suitable for them through their own ability. At this time, the government needs to provide some preferential conditions to the low- and middle-income class in accordance with the real estate market mechanism. Establish a policy suitable for the long-term development of the real estate market in Shenyang. At this stage, the comfortable housing policy introduced by the Shenyang Municipal Government for the low- and middle-income class does not fully conform to the housing situation in Shenyang. The housing demand of the middle and low income class can not be completely satisfied, resulting in a waste of resources and a certain impact on the construction and development of Shenyang. In order to make the policy of comfortable housing issued by Shenyang suitable for the development of real estate industry in Shenyang, In order to establish a reasonable supply structure in accordance with the actual situation in Shenyang, this paper studies the supply situation suitable for comfortable housing in Shenyang by referring to the housing filtering theory and its model. The foreign experts first put forward the filtering theory, and through its continuous development, the research on this theory abroad has been more mature. According to some assumptions of the limited housing filtering model, Quantitative analysis of the total amount of comfortable housing should be built in Shenyang at this stage, and housing prices and housing structure issues should be analyzed throughout the housing life cycle. According to the actual operating mechanism of the real estate market in Shenyang, there are few researches on housing filtering theory and its model in our country at present, and most of the studies are still in the stage of theoretical research. So this paper draws lessons from the housing filtering theory and the foreign typical filtering model, and extends its setting conditions and parameters to construct a supply model suitable for the housing market in Shenyang. According to the actual supply situation of comfortable housing in Shenyang, the system analysis. By studying the supply situation of comfortable housing market in Shenyang at present, this paper expands and complements the Ohls filtering model, and adds two factors, price and area, which are suitable for Shenyang real estate market. The supply model of comfortable housing in Shenyang is constructed, and some operating conditions of the model are limited according to the actual payment situation of middle and low income class. Through the determination of parameters, the numerical simulation is carried out by using MATLAB. To calculate the total amount and supply standard that comfortable housing should build at this stage in the operation of the supply model, Subsequently, the government conducted a comparative analysis of the two supply policies of directly establishing comfortable housing or carrying out monetary subsidies for low- and middle-income people. Finally, according to the actual economic and social operation of Shenyang and the existing problems, the paper puts forward to perfect the admittance and exit mechanism of affordable housing, which is suitable for Shenyang's real estate industry to filter smoothly and develop rapidly. Some suggestions such as increasing comfortable housing's investment proportion, improving the completion rate of comfortable housing, fully opening up the stock house market, adopting modern technology and improving the management level can reduce the obstacles to the operation of the filter model.
【學(xué)位授予單位】:沈陽(yáng)建筑大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F299.23

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