Digital Inclusive Finance and House Prices β Convergence:Mechanism and Effect
This paper uses panel data from 286 prefecture-level cities in China from 2011 to 2020 to analyze the impact of digital inclusive finance on housing prices β that an empirical study was conducted on the mechanism and effect of convergence.The result shows that the housing prices in 286 prefecture-level cities in China do not exist β absolutely convergent but stable β Conditional convergence,with an average convergence rate of 0.300%.Benchmark regression and robustness tests indicate that the development of digital inclusive finance can significantly improve the convergence rate of housing prices.Specifically,every 1%increase in the total index of digital inclusive finance will accelerate the conditional con-vergence rate of housing prices by 0.040%.At the same time,the mechanism test and heterogeneity test in this article found that the impact of digital inclusive finance on housing price convergence also has significant internal differences,regional heterogeneity,and time period heterogeneity.
digital inclusive financehouse price convergenceincome disparityloan availability
万方数据
维普
