Year Published
- 2008 (0)
- 2009 (2) Apply 2009 filter
- 2010 (1) Apply 2010 filter
- 2011 (1) Apply 2011 filter
- 2012 (0)
- 2013 (0)
- 2014 (2) Apply 2014 filter
- 2015 (2) Apply 2015 filter
- 2016 (6) 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
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (2) Apply Smallholder Farmers filter
- Women (2) Apply Women filter
Types of Research
- Data Analysis (3) Apply Data Analysis filter
- Literature Review (1) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- Global (4) Apply Global filter
- South Asia Region and Selected Countries (1) Apply South Asia Region and Selected Countries filter
- (-) Remove Southern Africa Region and Selected Countries filter Southern Africa Region and Selected Countries
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
Dataset
Current search
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
- (-) Remove Finance & Investment filter Finance & Investment
- (-) Remove East Africa Region and Selected Countries filter East Africa Region and Selected Countries
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
- (-) Remove Southern Africa Region and Selected Countries filter Southern Africa Region and Selected Countries
- (-) Remove 2017 filter 2017
- (-) Remove Information & Mobile Technology filter Information & Mobile Technology
- (-) Remove Research & Development filter Research & Development
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.
An ongoing stream of EPAR research considers how public good characteristics of different types of research and development (R&D) and the motivations of different providers of R&D funding affect the relative advantages of alternative funding sources. For this project, we seek to summarize the key public good characteristics of R&D investment for agriculture in general and for different subsets of crops, and hypothesize how these characteristics might be expected to affect public, private, or philanthropic funders’ investment decisions.
By examining how farmers respond to changes in crop yield, we provide evidence on how farmers are likely to respond to a yield-enhancing intervention that targets a single staple crop such as maize. Two alternate hypotheses we examine are: as yields increase, do farmers maintain output levels but change the output mix to switch into other crops or activities, or do they hold cultivated area constant to increase their total production quantity and therefore their own consumption or marketing of the crop? This exploratory data analysis using three waves of panel data from Tanzania is part of a long-term project examining the pathways between staple crop yield (a proxy for agricultural productivity) and poverty reduction in Sub-Saharan Africa.
A growing body of evidence suggests that empowering women may lead to economic benefits (The World Bank, 2011; Duflo, 2012; Kabeer & Natali, 2013). Little work, however, focuses specifically on the potential impacts of women’s empowerment in agricultural settings. Through a comprehensive review of literature this report considers how prioritizing women’s empowerment in agriculture might lead to economic benefits. With an intentionally narrow focus on economic empowerment, we draw on the Women’s Empowerment in Agriculture Index (WEAI)’s indicators of women’s empowerment in agriculture to consider the potential economic rewards to increasing women’s control over agricultural productive resources (including their own time and labor), over agricultural production decisions, and over agricultural income. While we recognize that there may be quantifiable benefits of improving women’s empowerment in and of itself, we focus on potential longer-term economic benefits of improvements in these empowerment measures.