Analysis on Residents' Acceptance and Its Influencing Factors of Waste Classification Policy

Abstract

In order to investigate the implementation of Shanghai's waste classification policy, this paper uses multiple linear regression models based on field surveys and online questionnaire data from 2570 residents in Shanghai's six districts to empirically analyze the factors affecting the acceptance of urban residents' waste classification policies and their differences. The research results show that, first, among the residents, women, high education levels, and school students have higher acceptance of garbage classification policies. Second, the main factors affecting residents' policy acceptance are policy understanding, behavior attitudes subjective norms and effective perception of policies. Third, "the government has not provided a complete waste sorting facility" and "too far away from the waste disposal sites" are the main reasons for restraining residents from sorting waste.