Research On Real Estate Batch Evaluation Method Based On Market Law

At this stage,real estate is one of the most important pillar industries in China's economic development,and is gradually developing and improving.As an important part of the long-term mechanism for the regulation of the property market,the property tax has once again become the focus of public attention in the "two sessions" in 2018.Property tax refers to a property tax levied on the personal housing of the house's tax-depleted residual value or rental income.It plays an important role in regulating the local tax structure and social needs and promoting the fair redistribution of social wealth.A major policy measure to control the economic development and guide the market.In the process of promoting property tax legislation,how to determine the value of real estate appraisal fairly and reasonably is the primary problem.Considering the huge scale of real estate in China,relying on a single real estate appraisal will consume a lot of manpower and material resources,and batch evaluation is efficient and fast.Low cost and other characteristics,suitable for evaluating real estate in a wide range of areas,is the preferred method of tax base assessment.The batch assessment is developed from the three basic methods of market law,income method and cost method.It is based on the mature real estate market and perfect information system.The market law has the widest scope,such as residential,commercial,office buildings,etc.Transactional real estate,and its valuation results are most consistent with the market value.Therefore,by comparing the advantages and disadvantages of the three types of batch valuation methods based on the market method,the characteristic price method,the comparable sample method and the time series method,the final choice is applicable to large-scale real estate.The characteristic price method of market evaluation.Establish a characteristic price model for the characteristic factors implied by heterogeneous houses,and use multiple regression calibration techniques for empirical analysis.Micro-variables such as real estate individual factors(architectural features,location features,neighborhood features)and GDP,urban residents and per capita Macro variables such as disposable income,real estate development investment,and total retail sales of social consumer goods were included in the model.This paper mainly studies from the following two aspects:the macro part uses the macro-indicator statistics related to housing prices in 52 counties and districts of Yunnan Province in 2017 to explore the macro-correction coefficient affecting the batch evaluation model,which is the innovation of this paper;Take Wuhua District of Kunming City as an example.Select the second-hand residential real estate related listing data from November 2018 to December 2018 in Cuihu area,and use SPSS20.0 statistical analysis tool to process the characteristic price model established by analysis to explore the impact of housing prices.Factor and mechanism of action,and finally combine the macro correction factor to better improve the batch evaluation model.