Research On The Spatial Spillover Effect Of Digital Economy Development On Labor Income Share

This paper uses panel data of 31 provinces from 2011-2019 to measure their digital economy development levels and labor income shares and then analyzes the spatial and temporal distribution characteristics of digital economy development and labor income shares in 31 provinces,and conducts spatial autocorrelation tests using the Moran index.Finally,an empirical analysis is conducted using a spatial Durbin model with double fixed effects in space and time,and the mechanism of the spatial spillover effect of digital economic development on labor income share is verified by the mediating effect test.The results of the study show that: digital economic development and labor income share in all 31 provinces show the typical unbalanced distribution characteristics of the highest in the east,the second highest in the west,and the lowest in the central and northeastern regions;digital economic development and labor income share have significant positive spatial correlations,and the spatial correlations of digital economic development and labor income share in most provinces are high high clustering and low low clustering;digital economic development There is a significant negative spatial spillover effect of digital economy development on labor income share,and both the direct and indirect effects are significantly negative,and digital economy reduces the labor income share of both the region and neighboring regions;the mediating effect test shows that digital economy development has a significant inhibitory effect on the increase of labor income share of neighboring provinces through employment industry structure and employment skill structure.Based on the above analysis and research results,this paper proposes countermeasures such as adhering to the concept of shared development,formulating policies to fully consider the negative spatial spillover effect,improving the protection system of labor rights and interests of digital platform workers,and strengthening the digital skills training of low-and middle-skilled employed workers.