On the basis of constructing a theoretical framework that data factor marketization empowers the develop-ment of regional new-quality productivity,and quasi-natural experiments based on the establishment of a data public trading platform,panel data of 284 prefecture-level cities are selected from 2011-2021,and its mechanism of action and regulation is analyzed based on the dual machine learning method.The re-sults show that the construction of data factor marketization effec-tively empowers the development of regional new quality produc-tivity.In terms of heterogeneity,data factor marketization signif-icantly promotes the development of new-quality productivity in high science and education levels and first-and second-tier cities,while it has no significant driving effect in low science and education levels and cities below the third tier.In terms of the mechanism of action,data factor marketization drives the level of new quality productivity through the mechanisms of guid-ing market integration,optimizing factor allocation,and recon-structing innovation paradigms.In terms of the regulating mech-anism,data factor marketization stimulates the data factor multi-plier effect through channels such as industrial upgrading and transformation,digital talent gathering and foreign capital utili-zation level.Policy recommendations are then put forward to fully release the value of data factors and provide strong support for accelerating the formation of new quality productivity.
data elementsnew quality productivitydata trading platformDual Machine Learning
NETL
NSTL
万方数据
