Integrating computer technology and policy management for sustainable smart city development

Abstract. This paper presents the development and application of a machine learning-based Environmental, Social, and Governance (ESG) performance evaluation model. The model quantifies and assesses the ESG performance of companies, enabling them to identify strengths and weaknesses in their sustainability efforts. By leveraging advanced machine learning techniques, the model offers accurate and comprehensive insights into ESG performance, guiding companies in formulating effective improvement strategies. The study involves detailed data collection and preprocessing, model construction and training, and rigorous evaluation metrics to ensure reliability and effectiveness. Additionally, the paper discusses practical applications of the model in strategic decision-making, resource allocation, and enhancing stakeholder engagement. The findings highlight the importance of integrating technology with ESG considerations to drive sustainable business practices. This research provides a robust framework for ESG performance assessment and sets the stage for future advancements in this critical area.