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Evaluation And Comparative Analysis Of The Impact Of Collective Rental Housing On Surrounding Housing Prices

Posted on:2020-02-20Degree:MasterType:Thesis
Country:ChinaCandidate:Q HeFull Text:PDF
GTID:2439330590494786Subject:Public Management
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Under the background of the country's vigorous promotion of urban-rural integration reform,collective land construction and rental housing is of great significance for large cities to adapt to the demand for new housing,to get rid of the path of low-cost land acquisition,and to share the urban development results.However,the implementation of collective land leasing and construction of rental housing may have different impacts on the housing market.An in-depth analysis of this will help local governments to develop an effective path that takes into account the commercial housing market,the rental housing market and urban and rural development.The research of this thesis is not only a useful supplement to the existing theory,but also lays a scientific foundation for the local government to formulate policies rationally.The paper discusses the mechanism of the impact of collective construction land on the construction of rental housing on housing prices,and constructs a characteristic price model of residential prices.On this basis,the empirical selection of Beijing“Xinxin Homeland” collective rental housing project and Shanghai “Lianming Yayuan”project was carried out,and the different impacts of two different collective land construction rental housing models on housing prices were compared.The reason for the improvement is put forward.Through theoretical analysis,the characteristic variable related to the extraction and collective rental housing is the characteristic variable of “distance from collective rental housing”.On the basis of combing the relevant literatures,the house price characteristic variables are summarized.The questionnaires of residential price characteristic variables are analyzed by 16 experts,except for the “distance from collective rental housing ”.In addition,13 residential price characteristic variables including “life support” and “educational support” were finalized.Two research objects were then identified,the Beijing “ Xinxin Homeland ”collective rental housing project and the Shanghai “Lianming Yayuan” project,to find out the commercial housing within 1km of the two research objects.Climb the corresponding feature variable data and Baidu map to obtain related feature variables.Finally,the data is quantified by the actual measurement method,comprehensive evaluation scoring,fuzzy mathematics and setting virtual variables.Analysis of the characteristic variables of the surrounding residential prices by two collective rental housings.Among them,the Xinxin Home Project has a negative impact on the surrounding residential prices.The distance to the collective rental housing is increased by one unit(km),resulting in an increase of 31.4% in the surrounding residential prices.Lian Ming Ya Yuan has no impact on the surrounding residentialprices.The impact of two collective rental housing on the price of surrounding housing.Finally,the two collective rental housing projects are compared and analyzed:combined with the relevant public information and the analysis results of Chapter 3,it can be found that the two collective rental housings not only have different impacts on the surrounding housing prices,but also the operation mode of the two collective rental housing.Revenue distribution methods,occupancy rates,and online reviews vary.The government participation of the Xinxin Home Project is relatively high,and it is more biased towards the mode of affordable housing operation.The collective housing participation of the Lianming Yayuan collective rental housing project is higher,with self-raised funds and independent operations.In comparison,the Lianming Yayuan project with higher collective participation is better than Xinxin Homeland in terms of dividends and occupancy rates,as well as the impact on surrounding residential prices.
Keywords/Search Tags:collective rental housing, house price, characteristic price model, comparative analysis
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