Prediction of amount solid waste in Morogoro Municipal council
A research report submitted in partial fulfillment of the requirements for award of Master of Science project planning and management (MSc. PPM) of Mzumbe University
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Formato: | Tesis |
Lenguaje: | inglés |
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Mzumbe Unversity
2024
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Acceso en línea: | https://scholar.mzumbe.ac.tz/handle/123456789/824 |
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author | Malata, Ritha Isdory |
author_facet | Malata, Ritha Isdory |
author_sort | Malata, Ritha Isdory |
collection | DSpace |
description | A research report submitted in partial fulfillment of the requirements for award of Master of Science project planning and management (MSc. PPM) of Mzumbe University |
format | Thesis |
id | oai:41.59.85.69:123456789-824 |
institution | Mzumbe University |
language | English |
publishDate | 2024 |
publisher | Mzumbe Unversity |
record_format | dspace |
spelling | oai:41.59.85.69:123456789-8242024-05-27T10:29:30Z Prediction of amount solid waste in Morogoro Municipal council Malata, Ritha Isdory Solid waste Prediction Social status Production of sold waste A research report submitted in partial fulfillment of the requirements for award of Master of Science project planning and management (MSc. PPM) of Mzumbe University This study deals with prediction of amount of solid waste per household in Morogoro Municipality to implement sustainable development given that the households stop improper discarding of waste. Improper solid waste management is a problem in developing cities and towns; therefore, something needed to be done to solve this. The study used cross sectional data obtained from 200 households in three wards of Kichangani, Sultan Area and Mwembesongo. Both quantitative and qualitative data were used. A study estimated the social status, formal institution variable, and willingness to pay to achieve amount of solid waste collected. To determine variables influencing amount of solid waste collection at household level, multiple linear regression model was used. The estimated results showed that age, education (year spent on schooling), family size, awareness and law enforcement predict the amount of solid waste collection in Morogoro Municipal Council. But income, household ownership, year of stay, household distance from the dumping place, human power, and willingness to pay have insignificant effect on amount of solid waste collection. R Square of the model was 46%. Therefore, the study recommended that the government has to enhance the effective Solid Waste Management by; formulating a policy that motivate people who under 25 years to participate on solid waste collection; provision of special training to the people who never spent year on schooling; promoting family planning programs to control the family size; extended households awareness through trainings and campaigns; and enforce laws through penalties and fines on offenders Private 2024-05-27T10:29:26Z 2024-05-27T10:29:26Z 2019 Thesis APA : http://hdl.handle.net/11192/4188 https://scholar.mzumbe.ac.tz/handle/123456789/824 en application/pdf Mzumbe Unversity |
spellingShingle | Solid waste Prediction Social status Production of sold waste Malata, Ritha Isdory Prediction of amount solid waste in Morogoro Municipal council |
title | Prediction of amount solid waste in Morogoro Municipal council |
title_full | Prediction of amount solid waste in Morogoro Municipal council |
title_fullStr | Prediction of amount solid waste in Morogoro Municipal council |
title_full_unstemmed | Prediction of amount solid waste in Morogoro Municipal council |
title_short | Prediction of amount solid waste in Morogoro Municipal council |
title_sort | prediction of amount solid waste in morogoro municipal council |
topic | Solid waste Prediction Social status Production of sold waste |
url | https://scholar.mzumbe.ac.tz/handle/123456789/824 |
work_keys_str_mv | AT malatarithaisdory predictionofamountsolidwasteinmorogoromunicipalcouncil |