Determinants of household waste separation in rural China

Abstract

It is crucial for rural residents to consciously separate their domestic waste to improve their living environment and build beautiful villages. Exploring the decisive factors of household waste separation in rural China can offer more precise guidance for waste segregation, thereby contributing to the establishment of a more efficient and sustainable waste management system. Using the 2022 China rural revitalization comprehensive survey data (CRRS), this paper combined the least absolute shrinkage and selection operator (LASSO) algorithm with the Logit model to identify the determinants of waste separation in rural China from multiple aspects. It was found that families with better internet conditions, more equipment, and online training are more willing to participate in waste separation. Families who are more satisfied with the various tasks of the village committee are more willing to separate waste. Additionally, greater concern about food safety, and active learning of health knowledge are more inclined to engage in waste separation. Thus, this paper proposes improving internet conditions, enhancing satisfaction with village cadre work and promoting health awareness education.