Spatial Pattern and Influencing Factors of Urban Identification and Perceived Acceptance for Floating Population in China
Based on the dynamic monitoring data of floating population in China in 2017,this paper uses the multiscale geograph-ically weighted regression model to analyze the spatial heterogeneity of the influencing factors of urban identification and per-ceived acceptance of floating population in China.It is found as follows.① The spatial pattern of urban identification and per-ceived acceptance of floating population is similar,showing obvious spatial agglomeration,but overall,the perceived acceptance is lower than the urban identification.② There are significant differences in the influencing factors of spatial heterogeneity of urban i-dentification and perceived acceptance.The influencing factors of urban identification are relatively single,and the main influencing factors(proportion of highly educated talents,proportion of marriage and inter-provincial mobility ratio)have a significant glob-al impact.Perceived acceptance is influenced by more factors.Except for the main mobility factors(interprovincial mobility ra-tio,source urban agglomeration ratio)have a global impact,other factors show significant local heterogeneity.③ The urban i-dentification is affected by"individual growth,source city,and labor level",while the perceived acceptance is affected by"indi-vidual internal characteristics,floating status,and external economic industries".Based on the above conclusions,it can be seen that it is important to formulate targeted management and service policies for floating population according to local conditions.
万方数据
维普
