Cascading Failure under the Digital Economy Industrial Risk Transmission

With the background of emergencies and the digital economy industry as the core, this paper collects the data of China’s 2020 input-output table, uses network analysis technology to establish digital economy industrial networks, analyzes the structural characteristics of industrial networks, and analyzes the risk transmission characteristics of industrial networks under the impact of various emergencies by establishing cascade failure simulation models. The results show that the digital trading industry occupies a higher position than other digital economy industries in the industrial network and is an important intermediary industry in the economy. Sudden systemic financial risks cause the largest damage at the highest risk transmission speed.

The authors declare no conflict of interest.

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The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

This work did not receive any external funding.