Research on the Influence of Data Factorization on the Degree of Common Prosperity
Starting from the goal of achieving common prosperity for all people,an evaluation index system of common pros-perity degree including two dimensions of sharing and prosperity is constructed.The entropy weight TOPSIS method is used to measure the degree of common prosperity at the provincial level in China,and the direct impact and indirect mechanism of data factorization on common prosperity are theoretically analyzed and empirically tested.It is found that data factorization can significantly promote the realization of the goal of common prosperity,and this result is still robust after using instrumen-tal variables to alleviate endogeneity.The results of mechanism analysis show that data factorization can promote the realiza-tion of common prosperity by expanding the"cake"of social wealth and dividing the"cake"of social wealth.Further analy-sis shows that the difference in the development level of the digital economy leads to the different impact of data factorization on common prosperity,which is manifested in the fact that data factors enable the realization of common prosperity goals more obvious in the environment with a higher level of digital economic development.
common prosperitydata factionalizationentropy weight TOPSIS methoddigital economy
NETL
NSTL
万方数据
