Research on the Structural Characteristics and Driving Factors of China's Digital Trade Spatial Correlation Network
With the rapid development of information technology and the popularization of the internet,digital trade has become a new engine of economic growth in China.This study used the entropy method to evaluate the development status of digital trade in 31 provinces in China from 2012 to 2021,and constructed the inter-provincial digital trade correlation relationship through the modified gravity model.Moreover,the structure and driving factors of the spatial correlation network of digital trade in China's provinces were thoroughly discussed and analyzed by using social network analysis method and QAP.The results show that there is an imbalance among Chinese provinces(autonomous regions and municipalities directly under the Central Government)in the development of digital trade,showing a distribution pattern of"strong in the east and weak in the west".The development of digital trade has a significant spatial correlation network structure.The eastern region occupies a central position in the spatial correlation network of digital trade development,while the western region is relatively marginalized.Most of the eastern provinces are net benefit plates,most of the western provinces are net overflow plates,most of the digital trade developed provinces are broker plates,and the other provinces are double overflow plates.The closer regions are in terms of internet penetration rate,the proportion of tertiary industry added value to regional GDP,and the level of urbanization,the stronger their spatial linkage in digital trade.The study provides certain reference and inspiration for understanding and promoting the development of digital trade in China.
digital tradegravity modelspatial correlationsocial network analysis
万方数据
维普
