Year Published
- 2008 (0)
- (-) Remove 2009 filter 2009
- 2010 (0)
- 2011 (0)
- 2012 (0)
- 2013 (0)
- 2014 (0)
- 2015 (0)
- 2016 (2) Apply 2016 filter
- (-) Remove 2017 filter 2017
- 2018 (1) Apply 2018 filter
- 2019 (1) Apply 2019 filter
- 2020 (0)
- 2021 (2) Apply 2021 filter
Research Topics
Populations
Types of Research
- Data Analysis (2) Apply Data Analysis filter
- Literature Review (0)
- Portfolio Review (0)
- Research Brief (1) Apply Research Brief filter
Geography
- East Africa Region and Selected Countries (2) Apply East Africa Region and Selected Countries filter
- Global (0)
- South Asia Region and Selected Countries (2) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (0)
- West Africa Region and Selected Countries (2) Apply West Africa Region and Selected Countries filter
Dataset
- ASTI (1) Apply ASTI filter
- (-) Remove FAOSTAT filter FAOSTAT
- Farmer First (0)
- LSMS & LSMS-ISA (1) Apply LSMS & LSMS-ISA filter
- (-) Remove Other Datasets filter Other Datasets
Current search
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Technology Adoption filter Technology Adoption
- (-) Remove Aid & Other Development Finance filter Aid & Other Development Finance
- (-) Remove 2009 filter 2009
- (-) Remove FAOSTAT filter FAOSTAT
- (-) Remove Information & Mobile Technology filter Information & Mobile Technology
- (-) Remove 2017 filter 2017
- (-) Remove Other Datasets filter Other Datasets
In this report we analyze three waves nationally-representative household survey data from Kenya, Uganda, Tanzania, Nigeria, Pakistan, Bangladesh, India, and Indonesia to explore sociodemographic and economic factors associated with mobile money adoption, awareness, and use across countries and over time. Our findings indicate that to realize the potential of digital financial services to reach currently unbanked populations and increase financial inclusion, particular attention needs to be paid to barriers faced by women in accessing mobile money. While policies and interventions to promote education, employment, phone ownership, and having a bank account may broadly help to increase mobile money adoption and use, potentially bringing in currently unbanked populations, specific policies targeting women may be needed to close current gender gaps.
This brief presents an in depth analysis of the FAO’s methodology behind their calculations for hunger. The analysis includes a review of the key assumptions made by the FAO in their calculations, critiques of their methodology, and recommendations for future research. The critiques include opinions from the literature on the subject as well as from the authors of the request.