A study of the criminal law analysis of corporate criminal behavior in a data-driven environment

Taking corporate criminal behavior as an entry point, this study explores the push effect of data-driven environment on corporate criminal behavior and its spatial spillover effect. Based on the data of corporate criminal behavior in Chinese cities at all levels and above, multiple matrix models are constructed and empirically tested using the spatial Durbin model. The results show that data-driven environments have a significant push effect on corporate criminal behavior by affecting the expected benefits and costs of crime, and also produce positive spatial spillover effects. For every 10% increase in the level of data-driven environment deepening, the number of corporate criminal behavior will increase by 8.96%. In addition, this effect also shows directionality, with a coefficient of 0.867 for Variable 1 in underdeveloped regions under the data-driven environment and a direct effect of 1.009 for Variable 2 in developed regions, with more pronounced positive spatial spillover effects from developed regions to less developed regions. This study proposes legal system recommendations on strengthening criminal law regulation in data-driven environments, establishing cross-regional criminal law cooperation mechanisms, and implementing differentiated criminal law policies, which can help to improve the legal system and enhance the relevance and effectiveness of the law, and better prevent and combat corporate criminal behavior.