The Impact of Data Element Flow on Urban Innovation Activity
The strategic utilization of data elements as a catalyst for innovation is crucial in addressing the disparities in urban innovation capabilities.Utilizing panel data from 284 prefecture-level cities between 2005 and 2020,this paper employs a spatial Durbin model with both temporal and spatial fixed effects to empirically analyze the relationship between the flow of data elements and the level of urban innovation activity.The findings indicate that data factor flow significantly bolsters innovation activity in both local and neighboring regions.Specifically,a 1%increase in the scale of data factor flow results in a 0.022%increase in local innovation activity and a 0.197%increase in the surrounding areas.Mechanistic analysis reveals that data factor flow can enhance urban innovation activity by elevating the level of regional innovation factor agglomeration,innovation quality,and fostering an innovative spirit.Further investigation suggests that the institutional environment,as characterized by the degree of marketization and the strength of intellectual property protection,exerts a complete mediating role and a dual-threshold effect on the influence of data factor flow on urban innovation activity.
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