Urban spatial development patterns and wage premium:evidence from the Chinese household finance survey data
Based on LandScan global population distribution data,this paper firstly calculates the population-weighted density and coefficient of variation to measure urban spatial development patterns.Combining micro-level individual data from Chinese cities in 2011,2013,2015,2017 and 2019,it then explores the differences in the impact of urban spatial development patterns on wage premiums in cities of different scales.The study finds that the impact is significant in cities of all scales.Specifically,in mega-cities,compact urban spatial structures result in wage discounts;whereas in other cities,the more compact the urban space,the higher the wage premium.This suggests that mega-cities in China still have significant agglomeration space,but the current internal spatial structure of cities hinders the realization of agglomeration effects and needs urgent optimization.This paper provides reliable empirical evidence and policy implications for optimizing urban spatial development patterns and promoting common prosperity.
万方数据
