| With the vigorous development of digital technology,digital economy,as a brand new economic model,has provided a strong driving force for improving the matching of supply and demand,enhancing the allocation of resources and promoting economic transformation and upgrading.Based on 31 provinces in China,this paper constructs a set of evaluation indicators of digital economy.In order to explore whether variables are correlated,correlation test is conducted,and principal component analysis of data is carried out to obtain scores of each province.Aiming at the mass,distance and gravity coefficient in the formula of gravity model,combined with the relevant characteristics of digital economy,it will be improved in an all-round way,and a gravity model with practical significance is established.Firstly,the gravity matrix is calculated by the modified gravity model,the binary matrix is established by the threshold method,the network structure diagram is drawn,and the point entry degree and point exit degree in the network analysis method are used for preliminary analysis.Then,the provinces of China are divided into four plates through block model analysis,and the roles of plates are positioned,and the spillover effects between plates are explored.Finally,the actors in the social network are analyzed according to their intermediary roles.The spatial distribution of the digital economy in China in terms of macro research.The spatial dependence of the development level of digital economy is explored through the global and local Moran index.The results show that there are significant regional differences and significant regional agglomeration in the development process of China’s digital economy.By correlation test and comparison of several models,the dual fixed Durbin model of time and space suitable for this study is established.Through the regression results and spatial spillover effect,the influence of explanatory variables on the development level of digital economy is analyzed.The research finds that the economic development level,financial development level and population density,these influencing factors will significantly promote the development of digital economy in this region and neighboring regions,and produce spatial spillover effect.At the same time,with the improvement of employment level,the development level of digital economy in the region will also increase.The increase of urbanization rate in this region will inhibit the development of digital economy in neighboring regions to a certain extent.The effect of government intervention on the development of digital economy is not obvious in the region and neighboring regions.At the end of the modeling,the robustness of the model is verified by replacing the spatial weight matrix and the explained variables.At last,spatial regression of sample was conducted for East and west areas in our country,and the direct and indirect influencing factors for different areas were explored.Finally,the paper summarizes the research content and conclusions of this paper,puts forward specific countermeasures to the problems found in this paper and looks forward to the shortcomings of this paper. |
