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The contribution of retirement benefits on economic wellbeing of pensioners in Dodoma city, Tanzania.

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dc.creator Salum, Hadija
dc.date 2021-02-11T17:12:01Z
dc.date 2021-02-11T17:12:01Z
dc.date 2020
dc.date.accessioned 2022-10-20T14:40:07Z
dc.date.available 2022-10-20T14:40:07Z
dc.identifier Salum, H. (2020). The contribution of retirement benefits on economic wellbeing of pensioners in Dodoma city, Tanzania (Master dissertation). The University of Dodoma, Dodoma.
dc.identifier http://hdl.handle.net/20.500.12661/2767
dc.identifier.uri http://hdl.handle.net/20.500.12661/2767
dc.description Dissertation (MBA )
dc.description The major aim of this study was to assess the contribution of retirement benefits on the economic wellbeing of pensioners in Dodoma city, Tanzania. Specifically, the study addressed three objectives: (i) to assess the economic wellbeing of the pensioners, (ii) to determine the relationship between retirement benefits and economic wellbeing of pensioners, and (iii) to examine the effects of retirement benefits on the economic wellbeing of pensioners in Dodoma city. A cross sectional research design was adopted in this study since data were collected at one point in time in the study area. The study involved both qualitative and quantitative approaches in collecting data. Simple random and stratified sampling were used to select a sample of 136 pensioners and 12 key informants such as pension officers and group leaders from pensioners groups. Questionnaire and interview were used as data collection methods. Data were analyzed by using content analysis for qualitative data and SPSS for quantitative data where descriptive statistics, multiple regression and binary logistic regression analysis were performed. The research findings revealed that, the economic wellbeing of pensioners was not good after retirement because almost all the variables such as assets, food and income generating activities brought good results only before retirement. Second, the study revealed that monthly pension amount, pre-retirement training and lump sum had significant level at p < 0.05 and positive relationship with economic wellbeing since they were found to have a positive significant correlation with food consumed. Therefore, good retirement benefits are associated with good economic wellbeing. The study also revealed that monthly pension, education level, salary level and pre-retirement training had significant contribution to economic wellbeing as p < 0.05 since they had significant effect on food consumed. On the other side lump sum, other source of income, pre-retirement training and monthly pension had significant effect with asset owned at p < 0.05. Also pre-retirement training had significant effect to income generating activities at p < 0.1. The study recommends to specific institutions and individuals such as the government that they should work on pension formula (Kikokotoo) in order to increase the monthly pension amount for the purpose of increasing the economic wellbeing of the pensioners because it was found to have positive impact to their economic wellbeing. Although pre-retirement training was found to have negative effect on income generating activities of the pensioners, the study proposes that pensioners access different entrepreneurship trainings provided by different institutions in order to increase their knowledge on how to use the small capital they have as a source of capital to them.
dc.language en
dc.publisher The University of Dodoma
dc.subject Pensioners
dc.subject Economic wellbeing
dc.subject Income generating activities
dc.subject Kikokotoo
dc.subject Pension formula
dc.subject Retirement
dc.subject Pension funds
dc.subject Retirees living standards
dc.subject Pension gratuity
dc.subject Public Service Social Security Fund
dc.subject PSSSF
dc.subject National Social Security Fund
dc.subject NSSF
dc.subject Social Security Regulatory Authority
dc.subject SSRA
dc.subject Retirement benefits
dc.title The contribution of retirement benefits on economic wellbeing of pensioners in Dodoma city, Tanzania.
dc.type Dissertation


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