Spatial Econometric Research On Decision-Making Of Renting Or Purchasing Apartment For The Regional Floating Population

The greatness of a country connects tightly with the wealth of happiness and the access of wonderful life is the living proof of people's prosper.The huge amount of Chinese floating population challenge the tenacity of the social security during the china's new normal economy.The two core problems of city emerging and housing grows strong.Recently years,multiple real estate market regulation and land market adjustment have shuffled the companies in business,along with the quite a lot turbulence in the core city filled with floating population."Houses are for dwelling,not for speculating."This sentence in general secretary xi's 19th national congress report is to strengthen social security and multi-agent supply.Hiring and purchasing simultaneously are also the main measures to counter the problem.The topic fever of real estate continues to rise and many scholars analyze the changing characteristics of China's market from multiple perspectives.There are few articles specifically measuring the influence factors of multiple-term observation stages of the real estate,especially for the behavior of decision makers in the market and the influence of long-term demographic factors.The increasing concentration of the seller market will throughly change the market model and the decision-making space of the floating population will prove to be worth studying.By summarizing the main points of existing literatures,this paper clarifies the core index category and formulates the floating population aggregation as the leading influence entry point,integrating the target population in the observation area and the characteristic data of the decision-making market to calculate the decision-making space for renting or purchasing,focusing on the long-term influencing factors of the real estate market.With reference to the theory of growth pole polarization and the theory of economic radiation effect,we make assumptions on the interaction between floating population and housing price by using the polarization echo effect,talent aggregation effect and spatial correlation.Then,the interactive index system of floating population aggregation and real estate market price is established.The spatial econometric model is used to output the interactive influence relationship and the radiation range of urban agglomeration.By using the polarization echo and the growth pole transformation mechanism,the interactive influence range and marginal effect were verified and analyzed.The characteristics of the interactive region were compared longitudinally.The influence degree of the secondary coverage area and the boundary barrier on the supply price was explored to verify the above hypothesis.At last,we judge the heterogeneous regional development stage,and put forward corresponding regional countermeasures and suggestions based on the results,which have certain guiding value for the plight of the floating population within the range of influence.At the end of this paper,we make a prospect for the research.The main conclusions of the research findings are as follows:The conclusion is that the aggregation area of floating population is basically consistent with the distribution of decision-making value and in the short term,the core cities should apply hiring by themselves to dwell and holding cash to wait;Spatial radiation effect analysis that the characteristic values of the economic circle spread to Shanxi,Hubei and Henan;The economic radiation circle of core cities has changed in recent years.Some growth poles show the phenomenon of enhanced echo effect and weakened polarization effect.The growth rate of real estate prices has also declined;China's strong basin economy greatly stimulates and stabilized the market for the entity urban agglomeration.The development of Hangzhou bay and the pearl river grand bay area promotes the effective supply of multiple entities.Unblock the channel of the second-hand housing market to reduce the vacancy rate,which slows down the pressure rising of the floating population in the region and the heat of real estate price.The innovation points of this paper are as follows:Focus on the changes of the real estate market guided by the floating population and use the spatial econometric model to make up for regional differences and measure the decision-making space;Combined with the classification of multi-step growth poles,carefully confirm the pressure point in the margin area and pinpoint the changes of the cross-influence area.Provide better foundations decision making for their regional housing.