Data Elements Empowerment,Qualitative Transition,and New Quality Productive Forces of Manufacturing Industry
In the face of anti-globalization trends,relying on the static comparative advantage of cheap factors in traditional productivity fails to elevate China's manufacturing industry beyond the lower end of the global value chain.This approach inevitably leads to low-end competition with other developing countries that possess similar factor endowment advantages.In other words,the potential for traditional productivity to sustainably enhance the quality of China's manufacturing indus-try's productive forces is diminishing.As competition among major manufacturing nations intensifies,leveraging China's institutional and vast market advantages to overcome the low-end lock-in and path dependencies imposed by the dominant rules of Western developed countries becomes crucial.Empowering advanced productivity through innovative factors like big data and artificial intelligence amidst significant changes is key to accelerating the development of the manufacturing in-dustry's new quality productive forces,which is a pressing issue for economists and policymakers.Qualitative transition is crucial for securing China's manufacturing industry's high-end position in the global value chain under the new development paradigm.It leverages the domestic market's economies of scale and scope to extend the boundaries of innovation possibilities,promote the manufacturing industry to strengthen,supplement,and expand its in-dustrial chain in technology proximity and innovation aggregation areas,and ultimately form a modern manufacturing sys-tem with large scale,comprehensive categories,and strong innovation.Most of the existing literature on the relationship between qualitative transition and new quality productive forces of manufacturing industry has examined the impact of fac-tors such as market autonomy of high-end products and domestic demand driven economy on new quality productive forces of manufacturing industry from the perspective of the equilibrium evolution law between productivity and economic devel-opment.With the gradual establishment of the basic framework of"zero tariffs,zero barriers,and zero subsidies"in de-veloped Western countries,the trend of regional economic integration is becoming increasingly prominent.That is to say,in the context of major changes,accelerating the construction of advanced productivity quality,improving the diversifica-tion and high-end of manufacturing products as endogenous rules,and further integrating into the global economy to en-hance its power,it is necessary to consider the empowering effect of advanced productive quality on the new quality pro-ductive forces of manufacturing industry with the characteristics of excellent data element vitality,fast iteration,and wide benefits.On the basis of existing literature,this study attempts to incorporate data element empowerment,qualitative transi-tion,and new quality productive forces of manufacturing industry into a unified analysis framework.Employing panel data from China's manufacturing industry between 2010 and 2022,this study estimates the effects of data element empower-ment and qualitative transition on the industry's new quality productive forces.The study reveals that the qualitative tran-sition caused by the biased empowerment of data elements cannot sustain the revolutionary breakthroughs in high-end technologies in the global value chain,hindering the driving force of innovation and development in the manufacturing in-dustry.The improvement effect on the new quality productive forces of manufacturing industry is not significant.The qualitative transition caused by the enhanced empowerment of data elements can significantly increase the complexity of the manufacturing production system,expand the forefront of the manufacturing innovation system,promote the benign evolution of innovation development momentum,and have a significant positive effect on the improvement of new quality productive forces of China's manufacturing industry.Compared with existing literature,this article contributes to the research in two primary ways.Firstly,considering that the formation of new quality productive forces of manufacturing industry is endogenous to the changes in innovative al-location of production factors caused by different data element empowerment models,this study distinguishes between da-ta element biased empowerment and data element enhanced empowerment,and examines the mechanism by which differ-ent data element empowerment models affect new quality productive forces of manufacturing industry.Second,by focu-sing on unlocking the structural potential and fostering high-quality transformation within the manufacturing industry,this study incorporates qualitative transition into the analysis model to further explore how different data empowerment modes and qualitative transitions influence the industry's new quality productive forces.
Data Element Biased EmpowermentData Element Enhanced EmpowermentQualitative TransitionNew Quality Productive Forces of Manufacturing Industry
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