Research On The Measurement And Influencing Factors Of Digital Economy Development Level In The Yangtze River Economic Belt

Today,when the far-reaching impact of the global COVID-19 epidemic has not dissipated,geopolitical tensions and the trend of anti globalization are highlighted,economic uncertainty has increased sharply while the growth of the digital economy remains strong.The digital industrialization has gradually evolved to a deeper level,and the digital economy has become a new engine of global economic growth.The "White Paper on the Development of China’s Digital Economy 2021" released by the Institute of Information and Communications Technology points out that China’s digital economy presents a regional agglomeration centered around one or more cities,and the Yangtze River Economic Belt accounted for 46.3% of the country’s GDP in 2022,with telecommunications business volume,software and information technology service revenue accounting for more than 40% of the country’s total.Therefore,this article uses the Yangtze River Economic Belt as a research sample,Research on the development level and influencing factors of digital economy in the Yangtze River Economic Belt.This article is first based on the "Four Modernizations" indicators of the digital economy of the Institute of Information and Communications Technology,combined with the "Coordination,Opening,and Sharing" concepts in the "Five Major Development Concepts" and the new requirements of "Digital Ecology" and "Digital Government" in the national "14th Five Year Plan".Using literature analysis and qualitative analysis methods,it selects digital foundation,digital innovation,digital industry,digital ecology,digital openness,and digital sharing Digital governance,as 7 primary indicators and 32 secondary indicators,was synthesized using the entropy weight method to synthesize the comprehensive digital economy development index and 7 sub indicator indices,and analyzed from multiple perspectives,both horizontally and vertically.Then,from a spatial perspective,use the global Moran’s I index to calculate the spatial autocorrelation of the comprehensive digital economy development index of 11 provinces and cities,and use LISA clustering map for local spatial autocorrelation analysis.Finally,based on the time individual dual fixed spatial Durbin model,the selected 7 proxy variables were decomposed into spatial effects to analyze the factors affecting the development of the digital economy.The main conclusions drawn in this article are as follows:(1)From 2013 to 2020,the digital economy development index of 11 provinces and cities in the Yangtze River Economic Belt has been increasing year by year.Except for the fluctuation of the digital ecology and digital governance index,which first rose and then declined,the other five major indices have shown an upward trend.This article conducts a specific analysis of the seven dimensional indices in 11 provinces and cities.It is found that,except for the digital ecological index,the top six sub indices in the Yangtze River Delta region are mainly Shanghai,Jiangsu Province,and Zhejiang Province.This indicates that there is still a significant gap in the development of digital economy among provinces and cities in the Yangtze River Economic Belt,and there is a "digital divide" phenomenon;(2)The results of spatial correlation analysis show that the development of digital economy in the Yangtze River Economic Belt presents a positive spatial correlation,but the spatial autocorrelation is decreasing year by year,and the digital economy in the Yangtze River Economic Belt mainly focuses on high high and low low distribution agglomeration,the high high agglomeration is mainly in the downstream areas,and the low low agglomeration is mainly in the middle and upstream areas.This conclusion indicates that there is a "Matthew effect effect" in the development of digital economy in the provinces and cities of the Yangtze River Economic Belt;(3)The empirical results of the SDM spatial econometric model show that the level of economic development,digital infrastructure,regional education level,advanced industrial structure,and resident wage level can significantly and positively affect the level of digital economic development in the region.The results of spatial decomposition effect indicate that the level of economic development and residents’ wage level also have a promoting effect on the development of digital economy in neighboring regions;The level of education has a inhibitory effect on the development of the digital economy in neighboring regions.This article suggests that the reason for this phenomenon may be the talent "siphon effect";The impact of advanced digital infrastructure and industrial structure on neighboring regions is not significant.