Research on Regional Digital Economy Capability Based on Econometric Models
Using econometric models to study the regional digital economic capability is a complex task,involving data collection,model selection,variable construction and result interpretation.In this paper,panel data from 280 cities in China from 2015 to 2020 are employed to explore the relationships between digital economy,economic agglomeration and regional innovation capability using econometric models.Through the analysis of data using econometric models,the validity of the proposed models is confirmed.Based on the models,the following findings are obtained:firstly,there is a positive correlation between the digital economy and regional innovation capability,but it exhibits a trend of increasing marginal effects.Secondly,economic agglomeration serves as a mediator between the digital economy and regional innovation capability.Additionally,the promoting effect of the digital economy on regional innovation capability is the most significant in medium-sized cities,whereas it is not significant in large cities,very large cities and small cities.