Regional differences and dynamic evolution of digital trade: data from China

Revealing regional differences and evolutionary patterns is a crucial component of studying digital trade development. This paper constructs an evaluation index system for digital trade development and assesses the level of digital trade development in mainland China of 30 provinces from 2013 to 2020. Using methods such as Dagum Gini coefficient, this study investigates the differences in regional development and the spatial dynamic evolution of digital trade development. The findings indicate that (1) while the overall level of digital trade in China is increasing, it manifests unbalanced growth. Additionally, inter-regional difference, as opposed to intra-regional difference, account for the primary source of digital trade development difference, contributing an annual average of 71.699%. (2) The kernel density distribution of digital trade is gradually narrowing. The absolute difference in the level of digital trade development between China and the four regions (east, central, west, and northeast) is progressively diminishing over time. (3) The Moran’s I index is positive, indicating a strong spatial correlation among digital trade development. In the eastern and western regions, there are ‘high-high’ and ‘low-low’ clusters between adjacent provinces; the dynamic transfer of digital trade levels occurs between provinces of adjacent levels, demonstrating the positive effect of proximity.