Study On The Impact Of Digital Economy On The Technical Complexity Of China’s Manufacturing Exports

Since the reform and opening up,China’s manufacturing industry has participated in the global value chain division of labor system with abundant labor resources,achieving rapid economic development.However,the development model of "big in and big out,with both ends outside" has caused China’s manufacturing industry to engage in a low-end lock in the global value chain.However,with the gradual disappearance of China’s demographic dividend and the implementation of the "re-industrialization" strategy in developed countries,China’s original manufacturing system is facing tremendous pressure.Improving the technological complexity of domestic manufacturing exports is of great significance for enhancing the international competitiveness of the manufacturing industry and accelerating the construction of a manufacturing power.With the advancement of a new round of scientific and technological revolution,the rapid development of the digital economy has provided rare opportunities and conditions for the upgrading of China’s manufacturing industry.Therefore,studying the impact of the digital economy on the technological complexity of manufacturing exports is an important link in achieving high-quality economic and trade development.This paper first measures the development level of the digital economy and the technological complexity of manufacturing exports in 30 provinces of China from2010 to 2020,analyzes their spatiotemporal heterogeneity and temporal evolution characteristics,and reveals the correlation between the digital economy and the technological complexity of exports;Secondly,construct a panel regression model to empirically study the impact of the development of the digital economy on the technological complexity of China’s manufacturing exports,test the robustness of the conclusions obtained,and further analyze the heterogeneity of the impact of the digital economy on the technological complexity of manufacturing exports;Then,it analyzes the indirect impact channels of the digital economy on the technological complexity of manufacturing exports,and uses the intermediary effect model to test the action path of the digital economy on the technological complexity of Chinese manufacturing exports;Finally,we analyze the spatial correlation between the digital economy and the complexity of manufacturing industry export technology,and use spatial econometric models to verify the spatial spillover effect of the digital economy and manufacturing industry export technology complexity.The research conclusions are as follows:(1)The measurement results of the development level of the digital economy and the technological complexity of manufacturing exports show that the development level of China’s digital economy and the technological complexity of manufacturing exports have gradually increased between 2010 and 2020,but there is significant spatiotemporal heterogeneity.(2)The panel regression results show that the improvement of the development level of the digital economy has a significant promoting effect on the technological complexity of manufacturing industry exports,and the conclusion is still valid after the robustness and heterogeneity tests.(3)The intermediary effect model results show that the digital economy has an impact on the technological complexity of China’s manufacturing exports through three paths: improving resource allocation efficiency,promoting human capital accumulation,and promoting industrial structure upgrading.(4)The spatial measurement results show that there is a significant positive spatial correlation between the digital economy and the technological complexity of manufacturing exports,indicating that there is a significant spatial spillover effect between China’s digital economy and the technological complexity of manufacturing exports.Based on the research conclusions of this article,targeted policy recommendations are proposed from the perspectives of accelerating the development of the digital economy,improving resource allocation efficiency,cultivating innovative talents,and promoting the digital transformation of the manufacturing industry.