Litcius/Paper detail

Determining Factors of Community Participation in Waste Bank

Christia Meidiana, Tomoo Sekito, Wisnu Sasongko

2021IOP Conference Series Earth and Environmental Science16 citationsDOIOpen Access PDF

Abstract

Abstract The study aims to analyze the factors affecting community involvement in the waste separation and reduction through waste bank for low participation through benefits offered to its member. Logistic regression was used for the analysis, and there were 26 dependents variables applied to the analysis. The result showed that six variables, i.e., age, occupation, participation in social activities, knowledge of sustainable development, distance from HH to WB, and availability of dissemination of 3R, affect people’s motivation to be member and actively involved in waste reduction through the waste bank. All variables except distance are proportional to the motivation of the community to participate in waste bank. The attained model is used to calculate the probability of community participation in waste banks afterward. Using different conditions, where variables are set with values of zero and one representing absence and availability of related variables, respectively various probability values come out ranging from 0% to 94.8% which is the highest probability value if all significant factors are available.

Topics & Concepts

Logistic regressionHousehold wasteVariablesRegression analysisAffect (linguistics)Value (mathematics)BusinessStatisticsEconometricsEnvironmental economicsMathematicsPsychologyEconomicsEngineeringWaste managementCommunicationMunicipal Solid Waste ManagementWaste Management and RecyclingHealthcare and Environmental Waste Management