Research On Influencing Factors And Regulation Policies Of Real Estate Market Based On Hedonic Price Model

As one of the important links of our government’s public management,the management of the real estate market has experienced a high speed development in recent years,not only the focus of the public,but also the high attention of the central government to local governments.General Secretary Xi Jinping proposed in the 19 th report that: House is for living,not for frying,and governments at all levels take the trend of real estate prices as one of the important objectives of macro-control,so the data reference for many cities to introduce regulatory policies and grasp the trend of housing price changes is the index which is issued regularly by the National Bureau of statistics.In order to regulate the trend of house prices and maintain the stable and healthy development of the market,a series of regulatory policies have been issued from the central government to the local government.The overall policy designed from the starting point of controlling the total social demand shows the characteristics of alternating tightness and tightness,which affects the trend of rising and falling of commercial housing prices.However,from the perspective of hedonic price,buyers’ demand for housing not only focus on the residential attribute of housing,but also on other features contained in the house.This paper reviews the government’s regulatory policies and their impact on house prices since the 18 th CPC National Congress,applies the hedonic price model which bases on the characteristics of housing price,studies the most important factors affecting housing price,and then puts forward the regulation policy design for housing micro variables.In order to deeply combine the current development status of new commercial housing in Tianjin,this paper expounds the basic concept of commercial housing regulation policy,takes market intervention and new consumer theory as the theoretical basis,uses literature research,Delphi method,regression analysis and other methods as the main research methods,selects the sample data of new commercial residential projects actually completed in 2019 within the outer ring road of Tianjin as the research object,which data comes from Tianjin housing management department,electronic map and real estate website,uses electronic map and crawler technology to collect 16 variables of the sample data,and put them into the hedonic price model which is used in this paper,and tests the model effectively,obtains the residence important characteristic.From the research results of hedonic price in this paper,location factors,rail transit,building area have the greatest impact on housing prices,in addition,although the concept of school district housing is not included in the new commercial housing,but it is still an important factor affecting house prices,therefore,based on the characteristic factors,this paper puts forward the regulation policy design for school district housing,building area,rail transit and location factors,in order to get rid of the constraints of educational resources on housing,reasonably plan the residential area demand of "rigid demand groups" under the current situation,make good use of the agglomeration effect of urban rail transit on housing,balance the elements of regional development,then achieve the regulation expectation of stable and healthy development of housing.