The Impact of Population Structure on China's Regional Innovation Efficiency and Its Spatial Effect
Enhancing regional innovation efficiency is a critical determinant for bolstering regional innovation ca-pacities,wherein population structure plays a pivotal role.Utilizing panel data from 31 provincial-level administra-tive units in China from 2010 to 2020,this study employs the Super-SBM model,dual fixed effects,and spatial pan-el econometric models to explore the impact of population structure on China's regional innovation efficiency.The em-pirical results demonstrate population structure has a significant influence on regional innovation efficiency.Notably,per capita education level,urbanization,and population agglomeration contribute positively to regional innovation effi-ciency,whereas population aging exerts a suppressive effect.Furthermore,the relationship between population ag-glomeration and regional innovation efficiency is characterized by a non-linear relationship,initially facilitating and subsequently inhibiting innovation.Population aging promotes regional innovation efficiency in eastern regions,while population agglomeration inhibits it in central regions;in western regions,the results are consistent with the bench-mark regression.Significant spatial effects are observed between the per capita education level,population agglomera-tion,and regional innovation efficiency.The per capita education level enhances innovation efficiency in adjacent provinces,and population agglomeration generates inhibitory outcomes.Contrarily,population aging and urbanization levels exhibit no significant spatial effects.
population structureregion innovation efficiencyregional heterogeneityspatial effects
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