数据要素化对共同富裕程度的影响研究  

Research on the Influence of Data Factorization on the Degree of Common Prosperity

作　　者：张辽[1] 胡忠博 ZHANG Liao;HU Zhong-bo(School of Economics,Hangzhou Dianzi University,Hangzhou 310018)

机构地区：[1]杭州电子科技大学经济学院,杭州310018

出　　处：《软科学》2024年第11期18-25,33,共9页Soft Science

基　　金：国家社会科学基金项目(22BTJ072)。

摘　　要：从实现全体人民共同富裕的目标出发,构建了包含“共享”与“富裕”两个维度的共同富裕程度评价指标体系,采用熵权TOPSIS法测度了我国省际层面的共同富裕程度,从理论上分析并实证检验了数据要素化对共同富裕产生的直接影响及间接作用机制。结果发现:数据要素化能显著推动共同富裕目标的实现,且这一结果在使用工具变量缓解内生性后依然稳健。机制分析结果表明:数据要素化通过做大社会财富“蛋糕”与分好社会财富“蛋糕”两种途径促进共同富裕的实现。进一步分析发现:数字经济发展水平的差异导致数据要素化对共同富裕的影响有所不同,表现为数据要素在数字经济发展水平较高环境中赋能共同富裕目标实现更加明显。Starting from the goal of achieving common prosperity for all people,an evaluation index system of common prosperity 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 instrumental variables to alleviate endogeneity.The results of mechanism analysis show that data factorization can promote the realization of common prosperity by expanding the “cake” of social wealth and dividing the “cake” of social wealth.Further analysis 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.

关 键 词：共同富裕 数据要素化 熵权TOPSIS法 数字经济 

分 类 号：F49[经济管理—产业经济]