scholarly journals Mobile money and branchless banking regulations affecting cash-in, cash-out networks in low- and middle-income countries

2018 ◽  
Vol 2 ◽  
pp. 64
Author(s):  
Travis W. Reynolds ◽  
Marieka Klawitter ◽  
Pierre E. Biscaye ◽  
C. Leigh Anderson

Background: We examined recent trends in mobile money and branchless banking regulations related to cash-in, cash-out (CICO) networks (physical access points allowing users to exchange physical cash and electronic money) in low- and middle-income countries, and reviewed evidence on the impacts of CICO regulations on markets and financial inclusion.  Methods: Regulation and literature searches began in August 2017 and concluded in June 2018. For the regulatory search we compiled an original database of regulations targeting CICO networks in Bangladesh, India, Indonesia, Kenya, Nigeria, Pakistan, Tanzania, and Uganda. To review evidence of impacts of regulations we conducted additional global searches on Scopus, Google Scholar, and Google using keywords for specific regulatory approaches (e.g., regulation of CICO agents) or hypothesized impacts (e.g., financial inclusion). Results: The resulting database of CICO regulations in the eight focus countries includes 127 regulatory documents, which we coded for four groups of regulations, namely: Business Channel Requirements; Agent Requirements; Regulations on Caps, Fees and Charges; and Customer Identification Requirements. Early CICO regulations focused on agent selection rules, limits on fees, and know-your-customer requirements. More recent waves of regulation have expanded or restricted services CICO agents provide, and also imposed reporting requirements on service providers in an effort to prevent fraud or enhance financial inclusion. Our search for evidence of impacts of CICO regulations resulted in a sample of 90 documents published since 2005, of which only 31 provided evidence on CICO regulation impacts, with most limited in scope—suggesting rigorous policy analysis remains lacking in this quickly expanding sector. Conclusions: Many low- and middle-income countries have introduced regulations that may affect CICO networks, with regulatory approaches differing across geographies and over time. While anecdotal reports of regulatory impacts exist, we found limited evidence of impacts of regulations on CICO networks or on CICO-related financial inclusion.

Author(s):  
Seohyun Lee ◽  
Abdul-jabiru Adam

Despite the increasing transition from paper vouchers to mobile e-vouchers for maternal health in low- and middle-income countries, few studies have reviewed key elements for program planning, implementation, and evaluation. To bridge this gap, this study conducted an interpretive review and developed a logic model for mobile maternal health e-voucher programs. Pubmed, EMBASE, and Cochrane databases were searched to retrieve relevant studies; 27 maternal health voucher programs from 84 studies were identified, and key elements for the logic model were retrieved and organized systematically. Some of the elements identified have the potential to be improved greatly by shifting to mobile e-vouchers, such as payment via mobile money or electronic claims processing and data entry for registration. The advantages of transitioning to mobile e-voucher identified from the logic model can be summarized as scalability, transparency, and flexibility. The present study contributes to the literature by providing insights into program planning, implementation, and evaluation for mobile maternal health e-voucher programs.


2020 ◽  
Vol 5 ◽  
pp. 62
Author(s):  
Rebecca G Njuguna ◽  
James A Berkley ◽  
Julie Jemutai

Background: Undernutrition remains highly prevalent in low- and middle-income countries, with sub-Saharan Africa and Southern Asia accounting for majority of the cases. Apart from the health and human capacity impacts on children affected by malnutrition, there are significant economic impacts to households and service providers. The aim of this study was to determine the current state of knowledge on costs and cost-effectiveness of child undernutrition treatment to households, health providers, organizations and governments in low and middle-income countries (LMICs). Methods:  We conducted a systematic review of peer-reviewed studies in LMICs up to September 2019. We searched online databases including PubMed-Medline, Embase, Popline, Econlit and Web of Science. We identified additional articles through bibliographic citation searches. Only articles including costs of child undernutrition treatment were included. Results: We identified a total of 6436 articles, and only 50 met the eligibility criteria. Most included studies adopted institutional/program (45%) and health provider (38%) perspectives. The studies varied in the interventions studied and costing methods used with treatment costs reported ranging between US$0.44 and US$1344 per child. The main cost drivers were personnel, therapeutic food and productivity loss. We also assessed the cost effectiveness of community-based management of malnutrition programs (CMAM). Cost per disability adjusted life year (DALY) averted for a CMAM program integrated into existing health services in Malawi was $42. Overall, cost per DALY averted for CMAM ranged between US$26 and US$53, which was much lower than facility-based management (US$1344). Conclusion: There is a need to assess the burden of direct and indirect costs of child undernutrition to households and communities in order to plan, identify cost-effective solutions and address issues of cost that may limit delivery, uptake and effectiveness. Standardized methods and reporting in economic evaluations would facilitate interpretation and provide a means for comparing costs and cost-effectiveness of interventions.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Nabeel Safdar ◽  
Tian Lin ◽  
Saba Amin

Purpose This study, a symposium, aims to explore the determinants of financial inclusion, impact of cross-country income-variations on financial inclusion, do high-income countries really uplift the financial inclusion and does the higher financial inclusion index indicate the larger economy? Design/methodology/approach This study adopts the panel data model to investigate the impact of high-income countries and low- and middle-income countries on financial inclusion. However, this study further adopts the principal component analysis rather than Sarma’s approach to calculate the financial inclusion index. Findings Based on the Data of World Bank, United Nations, International Monetary Fund, World Development Indicators, this study concludes that there is no nexus between income variations and financial inclusion, as the study reveals that some low- and middle-income countries have greater financial inclusion index such as Thailand (2.8538FII), Brazil (1.9526FII) and Turkey (0.8582FII). In low- and middle-income countries, the gross domestic product per capita, information technology and communication, the rule of law, age dependency ratio and urbanization have a noteworthy impact on financial inclusion that accumulatively describe the 83% of the model. Whereas, in high-income countries, merely, information technology and urbanization have a substantial influence on the growth of financial revolution and financial inclusion that describes the 70% of the total. Research limitations/implications The biggest limitation is the availability of data from different countries. Originality/value The originality of this paper is its technique, which is used in this paper to calculate the financial inclusion index. Furthermore, this study contributes to 40 different countries based on income, which could help to boost financial inclusion, and ultimately, it leads them toward economic growth.


2020 ◽  
Vol 5 ◽  
pp. 62
Author(s):  
Rebecca G Njuguna ◽  
James A Berkley ◽  
Julie Jemutai

Background: Undernutrition remains highly prevalent in low- and middle-income countries, with sub-Saharan Africa and Southern Asia accounting for majority of the cases. Apart from the health and human capacity impacts on children affected by malnutrition, there are significant economic impacts to households and service providers. The aim of this study was to determine the current state of knowledge on costs of child undernutrition treatment to households, health providers, organizations and governments in low and middle-income countries (LMICs). Methods:  We conducted a systematic review of peer-reviewed studies in LMICs up to September 2019. We searched online databases including PubMed-Medline, Embase, Popline, Econlit and Web of Science. We identified additional articles through bibliographic citation searches. Only articles including costs of child undernutrition treatment were included. Results: We identified a total of 6436 articles, and only 50 met the eligibility criteria. Most included studies adopted  institutional/program (45%) and health provider (38%) perspectives. The studies varied in the interventions studied and costing methods used with treatment costs reported ranging between US$0.44 and US$1344 per child. The main cost drivers were personnel, therapeutic food and productivity loss. Conclusion: There is a need to assess the burden of direct and indirect costs of child undernutrition to households and communities in order to plan, identify cost-effective solutions and address issues of cost that may limit delivery, uptake and effectiveness. Standardized methods and reporting in economic evaluations would facilitate interpretation and provide a means for comparing costs and cost-effectiveness of interventions.


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