Abstract:For Africa's poorest and most marginalized households, few financial institutions exist to serve them, and where institutions do exist they generally have inappropriate products and services. To address the issue of financial inclusion and reach poorer clients, CARE began promoting a savings-led microfinance model, called Village Savings and Loans Associations (VSLAs). The VSLA model is based on the belief that for the extremely poor, particularly women, the best approach is to begin by building their financia… Show more
“…However, the opportunities to enhance access to health services within savings groups has neither been explored comprehensively nor documented extensively [14,17]. …”
Background: Rural populations in Uganda have limited access to formal financial Institutions, but a growing majority belong to saving groups. These saving groups could have the potential to improve household income and access to health services.
Objective: To understand organizational characteristics, benefits and challenges, of savings groups in rural Uganda.
Methods: This was a cross-sectional descriptive study that employed both quantitative and qualitative data collection techniques. Data on the characteristics of community-based savings groups (CBSGs) were collected from 247 CBSG leaders in the districts of Kamuli, Kibukuand Pallisa using self-administered open-ended questionnaires. To triangulate the findings, we conducted in-depth interviews with seven CBSG leaders. Descriptive quantitative and content analysis for qualitative data was undertaken respectively.
Results: Almost a quarter of the savings groups had 5–14 members and slightly more than half of the saving groups had 15–30 members. Ninety-three percent of the CBSGs indicated electing their management committees democratically to select the group leaders and held meetings at least once a week. Eighty-nine percent of the CBSGs had used metallic boxes to keep their money, while 10% of the CBSGs kept their money using mobile money and banks,respectively. The main reasons for the formation of CBSGs were to increase household income, developing the community and saving for emergencies. The most common challenges associated with CBSG management included high illiteracy (35%) among the leaders,irregular attendance of meetings (22%), and lack of training on management and leadership(19%). The qualitative findings agreed with the quantitative findings and served to triangulate the main results.
Conclusions: Saving groups in Uganda have the basic required structures; however, challenges exist in relation to training and management of the groups and their assets. The government and development partners should work together to provide technical support to the groups.
“…However, the opportunities to enhance access to health services within savings groups has neither been explored comprehensively nor documented extensively [14,17]. …”
Background: Rural populations in Uganda have limited access to formal financial Institutions, but a growing majority belong to saving groups. These saving groups could have the potential to improve household income and access to health services.
Objective: To understand organizational characteristics, benefits and challenges, of savings groups in rural Uganda.
Methods: This was a cross-sectional descriptive study that employed both quantitative and qualitative data collection techniques. Data on the characteristics of community-based savings groups (CBSGs) were collected from 247 CBSG leaders in the districts of Kamuli, Kibukuand Pallisa using self-administered open-ended questionnaires. To triangulate the findings, we conducted in-depth interviews with seven CBSG leaders. Descriptive quantitative and content analysis for qualitative data was undertaken respectively.
Results: Almost a quarter of the savings groups had 5–14 members and slightly more than half of the saving groups had 15–30 members. Ninety-three percent of the CBSGs indicated electing their management committees democratically to select the group leaders and held meetings at least once a week. Eighty-nine percent of the CBSGs had used metallic boxes to keep their money, while 10% of the CBSGs kept their money using mobile money and banks,respectively. The main reasons for the formation of CBSGs were to increase household income, developing the community and saving for emergencies. The most common challenges associated with CBSG management included high illiteracy (35%) among the leaders,irregular attendance of meetings (22%), and lack of training on management and leadership(19%). The qualitative findings agreed with the quantitative findings and served to triangulate the main results.
Conclusions: Saving groups in Uganda have the basic required structures; however, challenges exist in relation to training and management of the groups and their assets. The government and development partners should work together to provide technical support to the groups.
“…Since consumers are spending gradually more and more time in online and are "going mobile," financial digitalization is now driving banks and network companies' providers to undertake the most extensive transition in their history. Mobile financial services (MFS) denotes the financial services and financial transactions performed using the channel such as mobile devices [54].…”
Section: Understanding Mobile Financial Services (Mfs)mentioning
Despite the fast emergent of smartphones in day-to-day activity, the sustainable development of mobile financial services (MFS) remains low partially due to online consumer’s trust and perceived risk. This research broadens the trust and the perceived risk at the multi-dimensional for understanding and prioritizing alternatives of MFS decision. A combined methodology; structural equation modeling (SEM) with two multiple criteria decision-making (MCDM) methods such as a technique for order of preference by similarity to ideal solution (TOPSIS) and analytic hierarchy process (AHP) were applied for data analysis. The two steps SEM-TOPSIS techniques were adopted through a two-types survey on datasets consisting of 538 MFS users, and 74 both experienced MFS users and experts in Togo. The SEM is used for causal relationships and assigning weights for the TOPSIS input. TOPSIS was applied for providing MFS alternative classification, in which the results were compared with prior research using the SEM-AHP technique on the given population. The results via SEM revealed particularly strong support for the dispositional trust and perceived privacy risk. Trust has a negative relationship with perceived risk. Except for perceived time risk, all the antecedents of perceived risk and trust validated the proposed relationship. The findings of TOPSIS uncovered that mobile money transfer (MMT) remains the core application used, followed by mobile payment (MP) and mobile banking (MB) and, therefore, consistent with AHP. However, the TOPSIS technique is better suited to the problem of MFS selection for this study field. This research offers a novel and practical modeling and classification concept for researchers, companies’ managers, and experts in the areas of information technology. The implications, limitations, and future research are provided.
“…A savings-led microfinance model in Africa called Village Savings and Loans Associations for extremely poor, particularly women, the best approach is to begin by building their financial assets and skills through savings rather than debt which allows people to enter into the formal financial sector as savers rather than borrowers reducing the cost of funds bringing greater stability [17]. Self-control, future orientation, financial knowledge, autonomy, conscientiousness, and so forth focuses on the role of individuals, which controls by family income, and parents' education, employment, encouragement of having a savings habits, will continue young adults to be savers [30].…”
Savings is vital for any country to achieve a sustainable economic growth and development targets over the time as there is a close relation between savings and growth [2]. Most developing countries including Sri Lanka are facing budget deficit due to due to some reasons. Sri Lanka is currently encompassing small revenue both from domestic and foreign sources but government expenditure increasing which course continuous budget deficit as well as the deficit in Balance of Payment but cannot observe any push effects largely from national savings. Official data from Central Bank of Sri Lanka prove that the personal and household saving is the largest component of domestic saving in Sri Lanka for many decades. Therefore, this paper attempts to explore the undergraduates' propensity to savings in Sri Lanka to identify psychological and socioeconomic perspectives behind the undergraduates' propensity to savings. The present study is based on a cross-sectional dataset collected by a questionnaire survey. A stratified sample of undergraduates was selected from the national universities in Sri Lanka to gather primary data. The main tool of the discrete data analysis was the Probit regression model apart from other standard statistical measurements. The data analysis reveals that a number of psychological and socioeconomic variables decides undergraduates savings. Even though the results showed that that undergraduates' propensity to save on longterm perspectives are very low, short-term perspectives are high. Therefore, a number of psychological and socioeconomic factors are making a significant influence on low propensity to savings, but there are some psychological and socioeconomic variables that can improve savings on long-term perspectives.
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