Year Published
- 2008 (1) Apply 2008 filter
- 2009 (11) Apply 2009 filter
- 2010 (4) Apply 2010 filter
- 2011 (1) Apply 2011 filter
- 2012 (2) Apply 2012 filter
- 2013 (1) Apply 2013 filter
- 2014 (0)
- 2015 (2) Apply 2015 filter
- (-) Remove 2016 filter 2016
- 2017 (3) Apply 2017 filter
- 2018 (0)
- 2019 (0)
- 2020 (1) Apply 2020 filter
- 2021 (0)
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (0)
- Women (1) Apply Women filter
Types of Research
- Data Analysis (1) Apply Data Analysis filter
- Literature Review (2) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (2) Apply East Africa Region and Selected Countries filter
- (-) Remove Global filter Global
- South Asia Region and Selected Countries (0)
- Southern Africa Region and Selected Countries (1) Apply Southern Africa Region and Selected Countries filter
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- West Africa Region and Selected Countries (1) Apply West Africa Region and Selected Countries filter
Dataset
Current search
- (-) Remove Risk, Preferences, & Decision-Making filter Risk, Preferences, & Decision-Making
- (-) Remove Global filter Global
- (-) Remove Sustainable Agriculture & Rural Livelihoods filter Sustainable Agriculture & Rural Livelihoods
- (-) Remove Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove 2016 filter 2016
- (-) Remove Agricultural Inputs & Farm Management filter Agricultural Inputs & Farm Management
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
A large and growing body of scholarship now suggests that many household outcomes, including children’s education and nutrition, are associated with a wife’s bargaining power and control over household decision-making. In turn, bargaining power in a household is theorized to be driven by a wife’s financial and human capital assets – in particular the degree to which these assets contribute to household productivity and/or to the wife’s exit options. This paper draws on the detailed Farmer First dataset in Tanzania and Mali to examine husband and wife reports of a wife’s share of decision-making authority in polygynous households, where multiple wives jointly contribute to household productivity, and where exit options for any single wife may be less credible. We find that both husbands and wives assign less authority to the wife in polygynous households relative to monogamous households. We also find that a wife’s assets are not as strongly associated with decision-making authority in polygynous versus monogamous contexts. Finally, we find that responses to questions on spousal authority vary significantly by spouse in both polygynous and monogamous households, suggesting interventions based on the response of a single spouse may incorrectly inform policies and programs.
This 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. We summarize the public good characteristics of R&D for agriculture in general and for commodity and subsistence crops in particular, as well as R&D for health in general and for neglected diseases in particular, with a focus on Sub-Saharan Africa and South Asia. Finally, we present rationales for which funders are predicted to fund which R&D types based on these funder and R&D characteristics. We then compile available statistics on funding for agricultural and health R&D from private, public and philanthropic sources, and compare trends in funding from these sources against expectations. We find private agricultural R&D spending focuses on commodity crops (as expected). However contrary to expectations we find public and philanthropic spending also goes largely towards these same crops rather than staples not targeted by private funds. For health R&D private funders similarly concentrate on diseases with higher potential financial returns. However unlike in agricultural R&D, in health R&D we observe some specialization across funders – especially for neglected diseases R&D - consistent with funders’ expected relative advantages.
Household survey data are a key source of information for policy-makers at all levels. In developing countries, household data are commonly used to target interventions and evaluate progress towards development goals. The World Bank’s Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA) are a particularly rich source of nationally-representative panel data for six Sub-Saharan African countries: Ethiopia, Malawi, Niger, Nigeria, Tanzania, and Uganda. To help understand how these data are used, EPAR reviewed the existing literature referencing the LSMS-ISA and identified 415 publications, working papers, reports, and presentations with primary research based on LSMS-ISA data. We find that use of the LSMS-ISA has been increasing each year since the first survey waves were made available in 2009, with several universities, multilateral organizations, government offices, and research groups across the globe using the data to answer questions on agricultural productivity, farm management, poverty and welfare, nutrition, and several other topics.