Research on the Impact of Information Disclosure on Financial Performance Based on BP Neural Network

To study the impact of ESG information disclosure on financial performance of enterprises, descriptive statistics, correlation and collinearity analysis, regression analysis, robustness test, and lag analysis were conducted using data from listed companies in China's Shanghai and Shenzhen stock markets from 2018 to 2022. The study found that positive ESG information disclosure can effectively improve financial performance of enterprises, but its impact on financial performance has a lag effect. In addition, the BP neural network is used to evaluate and rank the information disclosure of some companies. The research conclusion provides a reference for making good use of ESG information disclosure and improving corporate financial performance. If we can further deepen our understanding and application of the ESG concept, continuously improve this concept, and integrate it into the construction of enterprises, then we may promote high-quality development of enterprises, thereby promoting the progress of the entire economic system. This approach has significant reference value as it provides us with a new perspective to examine the development and progress of enterprises.