Construction of Interactive Path Model of Digital Economy and Green Financing Based on Complex Network Theory

Abstract

Abstract With the rapid development of science and technology and the in-depth popularization of the concept of environmental protection, green financing has become an important issue in the development of the digital economy nowadays. The research is based on the theory of digital economy and green financing, and the interaction model between digital economy and green financing is constructed using the complex network model. The digital economy and green financing network are constructed to carry out network characterization and prediction. To analyze the correlation coefficient matrix of the digital economy and green financing, the MIC statistic is chosen as the model basis. The average aggregation coefficient and network density of the sample countries and regions selected in this paper show a decreasing trend year by year between 2015 and 2020, while the average path length shows a gradual increase. The predicted results of the complex network model for the digital economy and green financing in 2021 are as follows: 165 projected network nodes, 865 edges, average degree value of 6.976, average clustering coefficient of 0.312, average path length of 2.782, network diameter of 6, and network density of 0.039. “The Belt and Road Initiative” policy was put forward after that, the MIC values between most of the sample countries have increased, and the digital economy exchanges and green financing cooperation between countries and regions have shown a thriving development.