PurposeThe purpose of this paper is to determine the socio-economic factors related to household solid waste generation and its type based on field surveys in South Delhi Municipal Corporation area in Delhi, India.Design/methodology/approachThis paper develops a framework to systematically identify the socio-economic factors related to household waste generation and its type. The framework uses both primary and secondary data. The primary data are collected through the instruments of questionnaire and interviews, and the secondary data are collected from the literature available in public domain. Multinomial logistic models are developed. The models are analyzed using the SPSS software version 22.0.FindingsThe study reports that socio-economic parameters like monthly income of the family, number of family members, occupation, education are statistically significant predictors. Further, detailed disaggregated models reveal more insights that are not apparent otherwise, such as the number of females can also be a significant factor for a targeted socio-economic group.Practical implicationsThe results can help in forecasting the resource requirement for waste collection, establishment of processing facilities and other policy planning measures for effective waste management, as summarized in the discussion.Originality/valueA systematic process to determine resource requirement according to socio-economic (and consequently spatial) group constitute an important component of the novelty of this study. Further, it provides new insights on the role of various socio-economic factors in determining the quantity and composition of household waste, e.g. quantity and type of waste can also be affected by male and female qualification within a socio-economic category.
Municipal solid waste management (MSWM) is one of the most critical issues prevailing in the world today. It has clear implications on public health and the environment. Since MSWM has multiple stakeholders, and citizens/households play a key role, it is important to understand their perceptions and correspondingly design policies and interventions. Accordingly, this paper develops a framework to analyse the citizen perception towards MSWM and applies it to the case of South Delhi Municipal Corporation. The framework uses information both from already existing resources, and questionnaire and interviews. The data are analysed using the SPSS software version 22.0. The results from the analysis and literature survey indicate that composting and segregation are key measures for effective solid waste management. Thus, four models are developed that analyse the response to segregation, composting and the incentives that can be provided to people for effective waste management. The major limitations at the household and community level are found to be their exclusive focus on the lack of facilities from the authorities, thus indicating that their understanding of MSWM is quite limited. It is, therefore, suggested that efforts be made towards training and awareness creation for increasing the participation of citizens in solid waste management (SWM). Further, it is concluded that more focus is needed on measures such as strengthening of already existing decentralized systems and putting out the efforts of municipal bodies.
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