A study on a blockchain-based waste classification management model and the effect evaluation of the model based on the entropy matter-element method

Global requirements for waste classification management are increasingly stringent, yet developing countries, represented by China, face poor classification problems, low resident participation and a lack of transparency in flow data. Existing waste classification management technologies, such as the Internet of Things and artificial intelligence, emphasize waste separation and identification, but ignore stakeholders' responsibilities and cooperation. This study aims to compensate for the above shortcomings and enhance the efficiency of waste classification management through blockchain technology. This study builds a blockchain-based waste classification model including software and hardware, and applies it to a pilot community to test its management effect. According to results (January, 2022/September, 2022), the waste bin overflow rate decreased by 41.67%; the public participation rate increased from 52.4 to 95.9%. From July to September 2022, the average rate of violations traced by regulations was 82.4%; 85.9% of interviewers responded positively to regulative monitoring and enforcement. The recycling potential of the recyclable has been increasing, reaching 95.05% in September 2022. Additionally, the researchers refined the model functions and experimental contents through the entropy matter-element method. In conclusion, the blockchain model emphasizes public involvement, government monitoring and quality of waste classification and recycling, which improves waste management efficiency.