Research on the action mechanism of circular economy development and green finance based on entropy method and big data.

Purpose: By calculating the information entropy of the indicator and measuring the amount of information in the data, this paper determines the weight of the indicator according to the impact of the relative change of the indicator on the whole. Design/methodology/approach: In order to study the action mechanism of circular economy development and green finance, based on the entropy method, this paper constructs a system analysis model based on event research. Findings: Moreover, this paper uses the analytic hierarchy process to obtain subjective weights based on expert opinions and then uses the entropy method to obtain objective weights and finally combines the two. In addition, an intelligent model is constructed based on the action mechanism of circular economy development and green finance to improve the system structure. Originality/value: Finally, this paper designs experiments to verify the performance of the system model. The research results show that the system model constructed in this paper meets the actual situation. [ABSTRACT FROM AUTHOR]