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Case Studies | Statistics | Congo (DRC) | Volume 10 Issue 11, November 2021 | Popularity: 5.2 / 10
Contribution of Survival Mechanisms and Strategies Relating to the Promotion of Socio-Economic Household Development (Case of Volunteer Leavers of Kolwezi, 2014-2020)
Jacques Bajika Kalombo
Abstract: The objective of the study is to assess and analyze the sources of income, coming from different mechanisms and survival strategies developed by the Volunteer Leavers of G?camines Kolwezi and their families. This study highlighted the mixed approach (Quanti-Quali). Exploratory analyzes reveal the following results: 93% of income is generated by newly hired ex-agents, of which (59%) comes from their monthly remuneration (salaries), (34%) comes from rental income and other activities, versus (7%) income from assistance received. However, for voluntary departures who do not have a remunerative job, 77% of their income comes from rental income and other activities against 23% from the assistance received. The provisional budget of the average envisaged expenses of food, the education of the children, the use of medical care and housing, is around 60% against 40% for all other expenses. The gap still persists between the estimated budget for the expenses of Volunteer Leavers, and their achievable income for all socio-professional categories. The results of qualitative interviews confirm that survival strategies contribute to the development of households of different Volunteer Leavers and their families in different sectors of social life, in particular food, children's education, medical care., housing as well as in areas related to other needs. In conclusion, the survival mechanisms and strategies developed by the Volunteer Leavers and their families effectively contribute to the development of their social life at different levels.
Keywords: Mechanisms, Survival strategies, Volunteers, Blossoming, households
Edition: Volume 10 Issue 11, November 2021
Pages: 975 - 979
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Statistics, Nepal, Volume 3 Issue 6, June 2014
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Statistics, India, Volume 8 Issue 5, May 2019
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Statistics, Kenya, Volume 8 Issue 5, May 2019
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Statistics, India, Volume 9 Issue 3, March 2020
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Statistics, Congo, Volume 8 Issue 4, April 2019
Pages: 85 - 95Modeling Tax Revenues Using Kernel Approach Case Study: North Kivu Province (Democratic Republic of Congo) Tax Revenues Time Series Forecasting
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