Integrating blockchain and ESG reporting standards to develop a smart green supply chain finance framework for sustainable procurement decisions

With the progressive advancement of the United Nations Sustainable Development Goals (SDGs), corporations encounter increasingly stringent Environmental, Social, and Governance (ESG) compliance mandates. Conventional supply chain finance paradigms exhibit significant limitations in effectively integrating ESG considerations for decision-making optimization. While blockchain and artificial intelligence technologies are widely recognized as pivotal technological pathways for enhancing ESG transparency and achieving intelligent supply chain decision-making, a systematic integration framework remains absent. This study constructs an intelligent green supply chain finance framework grounded in ESG reporting standards. The research employs a sample of 120 enterprises from the CSI 300 constituent stocks, incorporating their ESG reporting data spanning 2019-2023. Through the application of deep learning and multi-objective optimization algorithms, a four-tier intelligent decision-making architecture encompassing data, algorithmic, decision-making, and application layers has been designed. Regarding technical implementation, this research employs a Long Short-Term Memory-Convolutional Neural Network (LSTM-CNN) hybrid model for ESG risk assessment, develops a supply chain finance resource allocation algorithm based on multi-objective particle swarm optimization, and constructs an ensemble learning prediction model integrating Random Forest and Gradient Boosting Decision Trees. The framework incorporates blockchain distributed storage technology to ensure data immutability, while utilizing knowledge graph and graph neural network technologies to achieve supply chain relationship modeling. Empirical investigations validate the framework's effectiveness and practicality, providing theoretical foundations and practical guidance for the profound integration of green finance and supply chain management. This research holds substantial value in promoting corporate sustainable development and facilitating the green transformation of the economy.