Analysis of influencing factors and mechanism of classification accuracy of personal waste of urban residents

Accurate classification is an important prerequisite for resource recycling of domestic waste and a crucial indicator that measures the effectiveness of implementation of various government policies on waste classification. However, research on the accuracy of waste classification and its influencing factors has not yet attracted academic attention, and related quantitative studies are inadequate. Based on the microscopic research data in Hangzhou, this paper uses a multivariate ordered logistic model to analyze how the accuracy of waste classification is under the impact of environmental concern, institution-based trust, and community attachment. Furthermore, hierarchical regression is used to discuss how institution-based trust moderates the relationship between environmental concern and personal waste classification accuracy, and how community attachment moderates the relationship between institution-based trust and personal waste classification accuracy. The results show that community attachment and institution-based trust have significant positive effects on individual waste classification accuracy. It also found that community attachment exerts a strong positive moderating effect on the relationship between institution-based trust and individual waste classification accuracy. Besides, the results also indicate that age and annual household income are two factors capable of considerably influencing personal waste classification accuracy in a positive direction. Therefore, the community-based approach should be held in high regard in order to enhance the individual's sense of community attachment, as well as to improve the rationality and effectiveness of government policy formulation.