Identifying the influencing factors and constructing incentive pattern of residents’ waste classification behavior using PCA-logistic regression

Abstract

With the acceleration of urbanization, domestic waste has become one of the most inevitable factors threatening the environment and human health. Waste classification is of great significance and value for improving urban environmental quality and promoting human well-being. Based on the theory of planned behavior, we added external and socio-economic factors to systematically examine how they affect residents’ waste classification behavior (WCB). We collected 661 valid data through a questionnaire survey conducted in Jinan, a pilot city for waste classification in China. Key driving factors were identified by combining binary logistic regression and the principal component analysis. The results showed that the elderly, women, and people with higher education are more likely to participate in waste classification. Attitude, collaborative governance, and institutional pressure positively affect WCB, while subjective norm and infrastructure have a negative effect. Knowledge mastery and degree of publicity are positively and significantly related to WCB, but other perceived behavioral control sub-variables negatively affect WCB. Based on the results and status of waste classification in Jinan, we propose the multi-agent linkage governance pattern from various dimensions to explore a powerful guiding incentive that can enhance WCB and provide a reference for waste management policymakers.

Relevant Research of Inflammatory Cytokines Spectrum in Peripheral Blood of Sudden Hearing Loss

“…And then, based on the cumulative contribution of more than 70%, the five principal components were extracted as the principal components for inclusion in the final modeling (Table III). 20,21 Subsequently, we computed the eigenvector coefficients (Zi) and utilized them to establish a linear model for each PC, producing the five variables PC1, PC2, PC3, PC4, and PC5. …”

A comparative study of factors influencing residents' waste sorting behavior in urban and rural areas of China

“…Due to the existence of the status of unbalanced development between urban and rural areas in China, there are differences in the influencing elements that determine whether urban and rural residents participate in waste sorting. Residents, as the producers of domestic waste, are also the executors of sorting governance, and their behavior affects the effectiveness of waste sorting governance [ 7 ]. A fuller comprehension of the constraints influencing these actions is required to enhance the effectiveness of waste sorting and achieve the coordinated development of urban and rural areas.…”

“…According to TPB, behavioral attitudes, subjective norms, and perceived behavioral control, all have an impact on a person's purpose [ 11 ]. Within the TPB's framework, several scholars have investigated the WSB of residents in different regions of China and concluded that subjective norms, attitudes, and perceived behavioral control all promote the generation of residents' intention to sort waste [ 4 , 10 , 12 ], but some scholars believe that subjective norms have a negative influence [ 7 ]. Numerous research has demonstrated the feasibility of the TPB for predicting WSB [ 13 , 14 ].…”

In-depth analysis to develop a social marketing model to promote women's participation in waste segregation behaviour: A qualitative study

“…Waste recycling requires waste separation at the source [ 2 ]. Factors such as awareness, education, social norms, perceived benefits, structural barriers, motivation, attitude, subjective norms, self-efficacy, perceived behavioural control, behavioural intentions, normative feedback, and environmental factors have an impact on waste sorting behaviour [ [11] , [12] , [13] , [14] , [15] , [16] , [17] , [18] , [19] ]. Surveys show that waste separation is very important for the preservation and improvement of the environment [ [20] , [21] , [22] ].…”