Spatial Correlation Network and Regional Differences for the Development of Digital Economy in China

The rapid development of the digital economy is a powerful driving force to promote high-quality economic growth all over the world. Although a number of studies have been conducted to investigate the development of the digital economy in China, these studies pay little attention to the spatial linkages between the 30 provinces in China and the developmental differences between northern and southern China. Using Chinese digital economic data from 2004 to 2019, we propose an index system to measure the developmental levels of the digital economy and obtain the annual developmental levels of these provinces by using the factor analysis method. We analyze the regional differences of developmental levels by using the Theil index and kernel density estimation method. More importantly, the network method is used to analyze the correlations between the developmental levels of the digital economy in all provinces of China. By decomposing regional differences, our study shows that polarized and uncoordinated development is prominent. The development level of the digital economy in the southern region is higher than that in the northern region. In terms of regional correlations, the network study suggests that there are beneficial and spillover effects of the digital economy development between provinces. Based on the analysis results, we propose policies for improving the development of the digital economy in China.

Automated summary

This study utilized Chinese digital economic data to measure the developmental levels of digital economy in different provinces, and analyzed the regional differences and correlations. The results showed that the development level of digital economy in the southern region is higher than that in the northern region, and also highlighted the polarization and uncoordinated development in digital economy. The network analysis suggested beneficial spillover effects of digital economy development between provinces, and policy suggestions were proposed based on the analysis results.