Research on the Influence Mechanism of Real Estate Consumption Structure on Urban Innovation Output
Urban non-residential real estate provides a broad space for industrial development and talent exchange,promotes industrial structure upgrading and talent knowledge spillover,and improves the level of urban innovation output.This paper constructs a theoretical model of the impact of real estate consumption structure on urban innovation output through the upgrading of industrial structure and the agglomeration of innovative talents through mathematical logic reasoning.Taking the panel data of 248 prefecture level cities in China from 2008 to 2018 as the research samples,the empirical test of panel data model shows that:(1)There is a significant positive correlation between real estate consumption structure and innovation output;(2)Industrial structure and talent concentration have a partial mediating role in the relationship between real estate consumption structure and innovation output;(3)High level real estate consumption structure has a stronger impact on innovation output;with the increase of innovation output quantile,the influence of real estate consumption structure on innovation output changes in a"smile"curve;In addition to the northeast region,the eastern region's real estate consumption structure has the strongest effect on the innovation output,followed by the central region,and the western region is the weakest;the real estate consumption structure in the later period of the research period has a stronger impact on the innovation output.The research results broaden the research content of real estate economy and technology innovation to a certain extent,and find the intermediary role of industrial structure and talent concentration in the relationship between them,which has certain theoretical and practical significance for the spatial layout of real estate,the reasonable allocation of urban real estate resources,and the promotion of urban comprehensive competitiveness.
real estate consumption structureindustrial structuretalent concentrationinnovation output
万方数据
维普
