Aggregation of Data Elements Empowers the Development of New Quality Productivity: A Quasi-Natural Experiment Based on National Big Data Pilot Zones

Kaixin Xu; Yuanchun Yu

doi:10.54097/pn316537

Authors

Kaixin Xu
Yuanchun Yu

DOI:

https://doi.org/10.54097/pn316537

Keywords:

New quality productivity; Big data; Aggregation of data elements; Green technological innovation.

Abstract

Developing new quality productivity (NQP) serves as the core driving force for high-quality economic development, and an inevitable choice for promoting industrial upgrading, boosting the construction of a modern industrial system, and achieving modernization. This study regards the establishment of national big data pilot zones (BDPZs) as a quasi-natural experiment for the aggregation of regional data elements. Taking China’s provincial-level panel data from 2012 to 2022 as a sample, uses the difference-in-differences (DID) method to empirically analyze the influence of the aggregation of data elements on NQP. The research results show that: (1) The aggregation of data elements can significantly promote the improvement of NQP levels; (2) The mechanism analysis demonstrates that the aggregation of data elements promotes the improvement of the level of NQP through the aggregation of digital talents, environmental regulation, and green technological innovation; (3) Heterogeneity analysis indicates that the aggregation of data elements exerts significant positive effects on NQP in the eastern and western regions, while its impact is insignificant in the central region, presenting a differential distribution pattern of “Eastern region > Western region > Central region”. This study provides policy implications for fully unleashing the effects of digital talent agglomeration, environmental regulation, and green technology innovation, strengthening the positive effect of data factor agglomeration on NQP, and boosting the construction of a modern industrial system.

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