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Analysis Of China’s Commercial Housing Stock Based On Panel Data Model

Posted on:2020-12-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y N JiaFull Text:PDF
GTID:2439330572978329Subject:Human Geography
Abstract/Summary:
Reform of the supply front is an important development strategy to solve China’s current economic structural problems,improve the quality and efficiency of economic development,and promote sustainable economic development.An important task of promoting supply-side reform is real estate destocking.In order to effectively solve the problem of commodity housing inventory in different regions,the country’s formulation of real estate policy has changed from “one size fits all” to “industry policy and classification guidance”,which requires local governments to have a deeper understanding of the status and formation of local commercial housing inventory.To understanding.Therefore,the study and analysis of the changes in the inventory of commercial housing and its causes are of great significance for the successful completion of real estate destocking and supply-side reform.This paper analyzes the development process and policy adjustment process of China’s real estate market since 1998,and summarizes the distribution characteristics and reasons for the formation of commodity housing in China.On the basis of relevant research,combined with the previous analysis,choose the commodity housing price,urbanization rate,land price,real estate tax,disposable income of urban residents,domestic loan status of real estate enterprises,real estate investment status and other indicators as the influencing factors of commercial housing inventory conduct empirical research.Based on the relevant statistics of the real estate industry in 31 provincial administrative regions from 2004 to 2016,the main factors of the high correlation between commercial housing prices,land prices and disposable income of urban residents and commercial housing inventory were selected through grey correlation analysis.The country is divided into three parts: the east,the middle and the west respectively.The panel data model is established to further study how the main factors affect the inventory of commercial housing.The following conclusions are drawn:(1)The dominant factor of the inventory of commercial housing in the eastern part of China is The disposable income of urban residents is positively correlated;(2)The dominant factor of commodity inventory in central China is the price of commercial housing,which is negatively correlated;(3)The dominant factor in the inventory of commercial housing in western China is the disposable of urban residents.Income,the two are negatively correlated.Finally,combined with the theoretical and empirical analysis results,this paper puts forward the following suggestions for the destocking work of commercial housing in China:(1)Accelerate the transformation of economic development mode and rduce the dependence of economic development on the real estate industry;(2Promote the new urbanization strategy and launch three as soon as possible The reform of the household registration system in the fourth-tier cities;(3)The stable housing prices should be the policy direction for the regulation of the housing market nationwide,and should not be limited to first-and second-tier cities;(4)Develop the housing rental market,promote the simultaneous purchase and purchase,and effectively solve the residents Housing problem.
Keywords/Search Tags:commercial housing inventory, real estate destocking, grey correlation analysis, panel data model
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