Observational analysis demonstrates growth in output value and efficiency in manufacturing, highlighting the role of AI and R&D.
This paper starts from the mechanism of digital economy empowering manufacturing enterprises, the reshaping of the smile curve of manufacturing industry, and deeply explores the role and influence path of intelligent manufacturing industry in realizing the double growth of output value and efficiency through technological innovation. Listed companies in the manufacturing industry from 2014 to 2023 are selected as samples, and variable data are obtained through (CSMAR) database and (RESSET) database. A multiple linear regression model was constructed with enterprise new quality productivity (Npro) as the explanatory variable, and artificial intelligence level (AI), smart manufacturing industrial policy (TreatxPost), and research and development investment (R&D) as the explanatory variables. The results show that the coefficients of AI, TreatxPost, and R&D are 1.056***, 0.398***, and 0.520*** after adding control variables, and the coefficients are positive and significant, which validate the 3 hypotheses. 3 hypotheses were verified. The line trend test and propensity score matching verified the validity of the double-difference method and the positive influence mechanism of key independent variables on the new quality productivity of enterprises in the smart manufacturing industry, realizing the double growth of output value and benefits, and providing new paths and opportunities for the transformation and upgrading of manufacturing enterprises.
No takes yet. Share an insight, caveat, or question.
Chen et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: