Empirical Study on the Empowerment of the New Quality of Productive Forces by the Digital Economy——Based on Dual Machine Learning for Causal Inference
Based on the panel data of 30 Chinese provinces,autonomous regions and municipalities directly under the central government from 2012 to 2022,the article examines the effects and mechanisms of the digital economy on the de-velopment of new quality productivity through the use of a dual machine learning model.The benchmark regression results confirm that the digital economy has a significant promotion effect on the development of new quality productivity,and the conclusion passes a series of robustness tests.The results of the heterogeneity study show that there is regional heter-ogeneity in the impact of digital economy construction on new quality productivity,in which the impact effect is significant in the east,while it is not significant in the central and western regions.The results of the mechanism of action test show that the digital economy promotes the level of new quality productivity significantly by promoting technological innovation and alleviating resource mismatch.
digital economynew quality productivitytechnological innovationcapital mismatchlabor mismatchdual machine learning
NETL
NSTL
万方数据
