An investigation of the Sustainability of Village Savings and Loans Associations (VSLAs) amidst Covid-19 and its impact on household income levels: lessons from Malawi, Sub-Saharan Africa

Abstract Background Food security, malnutrition, and poverty are some of the challenges that most of the sub-Saharan African countries have been historically facing. With the coming of Covid-19 pandemic, the sustainability of the Village Savings and Loans Association which are formed to counter figh...

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Main Authors: George N. Chidimbah Munthali (Author), Xuelian Wu (Author), Mastano Nambiro Woleson Dzimbiri (Author), Amon Zolo (Author), John K.B Mushani (Author), Lazarus Obed Livingstone Banda (Author)
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Published: BMC, 2022-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a George N. Chidimbah Munthali  |e author 
700 1 0 |a Xuelian Wu  |e author 
700 1 0 |a Mastano Nambiro Woleson Dzimbiri  |e author 
700 1 0 |a Amon Zolo  |e author 
700 1 0 |a John K.B Mushani  |e author 
700 1 0 |a Lazarus Obed Livingstone Banda  |e author 
245 0 0 |a An investigation of the Sustainability of Village Savings and Loans Associations (VSLAs) amidst Covid-19 and its impact on household income levels: lessons from Malawi, Sub-Saharan Africa 
260 |b BMC,   |c 2022-05-01T00:00:00Z. 
500 |a 10.1186/s12889-022-13303-9 
500 |a 1471-2458 
520 |a Abstract Background Food security, malnutrition, and poverty are some of the challenges that most of the sub-Saharan African countries have been historically facing. With the coming of Covid-19 pandemic, the sustainability of the Village Savings and Loans Association which are formed to counter fight these challenges is questioned. Aim This study aimed to assess factors associated with the Sustainability of VSLAs amidst Covid-19 and its impacts on households' income levels. Methods An online cross-sectional design was conducted from November to January 2021, targeting VSLAs members in Mzuzu. A snowball and respondent-driven sampling technique were used to recruit the needful participants using a referral approach. IBM SPSS version 23 was used to perform descriptive statistics, Chi-Square, and binary logistic regression with unstandardized Beta (β), Odds Ratios (OR), and 95% Confidence Interval (CI) being taken into account with P-value set at 0.1, 0.05 and 0.01 significance levels. Results Our study finds that household income declined by 54% for those earnings belonged to ˂ MK5,000, as compared to 38% and 15% for medium (MK5,000 ≥ MK10,000) and higher (> MK10,000) income bands respectively. Our study shows that gender (β = 0.437, p = 0.094), age-group (β = 1.317, p = 0.000), education (β = 2.181, p = 0.047), share contributions (β = 1.035, p = 0.008), meetings (β = 0.572, p = 0.021), occupation (β = -0.453, p = 0.106), and frequency of meeting (β = -0.507, p = 0.049) were positively and negatively statistically significant predictors. Conclusion According to the findings of this study, households with lower income earners, which is one of the indicators of poverty, are more affected by the pandemic than their counterparts. We urge that the Malawi governments should maintain and, if they haven't already, implement programs that support low-income households, such as transfer payments, which have been shown to uplift people out of income poverty in many developing countries. 
546 |a EN 
690 |a Covid-19 
690 |a VSLAs 
690 |a Developing Economies 
690 |a Inequality of Income 
690 |a Households Income 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 22, Iss 1, Pp 1-14 (2022) 
787 0 |n https://doi.org/10.1186/s12889-022-13303-9 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/f7d6e39cda6c43a6ae7d9540be1e49c4  |z Connect to this object online.