Year Published
- (-) Remove 2008 filter 2008
- (-) Remove 2009 filter 2009
- 2010 (10) Apply 2010 filter
- 2011 (12) Apply 2011 filter
- 2012 (6) Apply 2012 filter
- 2013 (7) Apply 2013 filter
- 2014 (3) Apply 2014 filter
- 2015 (7) Apply 2015 filter
- 2016 (10) Apply 2016 filter
- 2017 (9) Apply 2017 filter
- 2018 (3) Apply 2018 filter
- (-) Remove 2019 filter 2019
- 2020 (0)
- 2021 (1) Apply 2021 filter
Research Topics
Populations
- Countries/Governments (0)
- Rural Populations (0)
- Smallholder Farmers (3) Apply Smallholder Farmers filter
- Women (2) Apply Women filter
Types of Research
Geography
- East Africa Region and Selected Countries (2) Apply East Africa Region and Selected Countries filter
- Global (1) Apply Global filter
- South Asia Region and Selected Countries (2) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (1) Apply Southern Africa Region and Selected Countries filter
- Sub-Saharan Africa (3) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (0)
Dataset
- ASTI (1) Apply ASTI filter
- FAOSTAT (0)
- Farmer First (0)
- LSMS & LSMS-ISA (1) Apply LSMS & LSMS-ISA filter
- Other Datasets (3) Apply Other Datasets filter
Current search
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- (-) Remove Poverty filter Poverty
- (-) Remove Research & Development filter Research & Development
- (-) Remove Agricultural Productivity, Yield, & Constraints filter Agricultural Productivity, Yield, & Constraints
- (-) Remove Global & Regional Public Goods filter Global & Regional Public Goods
- (-) Remove 2009 filter 2009
- (-) Remove 2008 filter 2008
- (-) Remove 2019 filter 2019
Studies of improved seed adoption in developing countries almost always draw from household surveys and are premised on the assumption that farmers are able to self-report their use of improved seed varieties. However, recent studies suggest that farmers’ reports of the seed varieties planted, or even whether seed is local or improved, are sometimes inconsistent with the results of DNA fingerprinting of farmers' crops. We use household survey data from Tanzania to test the alignment between farmer-reported and DNA-identified maize seed types planted in fields. In the sample, 70% of maize seed observations are correctly reported as local or improved, while 16% are type I errors (falsely reported as improved) and 14% are type II errors (falsely reported as local). Type I errors are more likely to have been sourced from other farmers, rather than formal channels. An analysis of input use, including seed, fertilizer, and labor allocations, reveals that farmers tend to treat improved maize differently, depending on whether they correctly perceive it as improved. This suggests that errors in farmers' seed type awareness may translate into suboptimal management practices. In econometric analysis, the measured yield benefit of improved seed use is smaller in magnitude with a DNA-derived categorization, as compared with farmer reports. The greatest yield benefit is with correctly identified improved seed. This indicates that investments in farmers' access to information, seed labeling, and seed system oversight are needed to complement investments in seed variety development.
Self-Help Groups (SHGs) in Sub-Saharan Africa can be defined as mutual assistance organizations through which individuals undertake collective action in order to improve their own lives. “Collective action” implies that individuals share their time, labor, money, or other assets with the group. In a recent EPAR data analysis, we use three nationally-representative survey tools to examine various indicators related to the coverage and prevalence of Self-Help Group usage across six Sub-Saharan African countries. EPAR has developed Stata .do files for the construction of a set of self-help group indicators using data from the Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA), Financial Inclusion Index (FII), and FinScope.
We compiled a set of summary statistics for the final indicators using data from the following survey instruments:
- Ethiopia:
- Ethiopia Socioeconomic Survey (ESS), Wave 3 (2015-16)
- Kenya:
- Kenya FinScope, Wave 4 (2015)
- Kenya FII, Wave 4 (2016)
- Nigeria
- Nigeria FII, Wave 4 (2016)
- Rwanda:
- Rwanda FII, Wave 4 (2016)
- Tanzania:
- Tanzania National Panel Survey (TNPS), Wave 4 (2014-15)
- Tanzania FinScope, Wave 4 (2017)
- Tanzania FII, Wave 4 (2016)
- Uganda:
- Uganda FinScope, Wave 3 (2013)
- Uganda FII, Wave 4 (2016)
The raw survey data files are available for download free of charge from the World Bank LSMS-ISA website, the Financial Sector Deepening Trust website, and the Financial Inclusion Insights website. The .do files process the data and create final data sets at the household (LSMS-ISA) and individual (FII, FinScope) levels with labeled variables, which can be used to estimate summary statistics for the indicators.
All the instruments include nationally-representative samples. All estimates from the LSMS-ISA are household-level cluster-weighted means, while all estimates from FII and FinScope are calculated as individual-level weighted means. The proportions in the Indicators Spreadsheet are therefore estimates of the true proportion of individuals/households in the national population during the year of the survey. EPAR also created a Tableau visualization of these summary statistics, which can be found here.
We have also prepared a document outlining the construction decisions for each indicator across survey instruments and countries. We attempted to follow the same construction approach across instruments, and note any situations where differences in the instruments made this impossible.
The spreadsheet includes estimates of the following indicators created in our code files:
Sub-Populations
- Proportion of individuals who have access to a mobile phone
- Proportion of individuals who have official identification
- Proportion of individuals who are female
- Proportion of individuals who use mobile money
- Proportion of individuals who have a bank account
- Proportion of individuals who live in a rural area
- Individual Poverty Status
- Two Lowest PPI Quintiles
- Middle PPI Quintile
- Two Highest PPI Quintiles
Coverage & Prevalence
- Proportion of individuals who have interacted with a SHG
- Proportion of individuals who have used an SHG for financial services
- Proportion of individuals who depend most on SHGs for financial advice
- Proportion of individuals who have received financial advice from a SHG
- Proportion of households that have interacted with a SHG
- Proportion of households in communities with at least one SHG
- Proportion of households in communities with access to multiple farmer cooperative groups
- Proportion of households who have used an SHG for financial services
Characteristics
In addition, we produced estimates for 29 indicators related to characteristics of SHG use including indicators related to frequency of SHG use, characteristics of SHG groups, and individual/household trust of SHGs.
Agriculture and Climate Change: Part I
With estimated global emissions of 5,969-6,615 metric tons (Mt) of carbon dioxide (CO2) per year, agriculture accounts for about 13.5% of total global anthropogenic emissions of greenhouse gases (GHG). Deforestation contributes about 11.8% of total GHG emissions, releasing about 5,800 Mt CO2 per year. Developing countries are largely responsible for emissions from agriculture and deforestation, with the developing countries of South Asia and East Asia accounting for 17% and 25% of global agricultural emissions respectively. Sub-Saharan Africa (SSA) accounts for about 13% of global emissions from agriculture and 15% of emissions from land use change and forestry. This report examines the biophysical and economic potential of mitigating agriculture and land use GHG emissions, and provides a summary on the current and projected impact of global carbon market mechanisms on emission reductions.
Agriculture and Climate Change: Part II
This report covers two topics related to agriculture and climate change in developing countries. The first section discusses the role of agricultural offsets in mitigating greenhouse gas emissions. Recent negotiations around a post-Kyoto Protocol agreement have included debate about whether agricultural carbon sequestration projects should be eligible under the Clean Development Mechanism (CDM). We examine the reasons for supporting or opposing this type of CDM reform and how these reasons relate to impacts on development goals and smallholder farmers, scientific uncertainty about carbon sequestration, and philosophical disagreement about the use of emission offsets. The second section covers proposed agricultural adaptation activities in Africa and other developing countries. While the majority of developing countries have outlined immediate adaptation needs in National Adaptation Programs of Action (NAPAs), few have made progress in implementing adaptation activities. We find that issues related to financial resources, scientific and technical information, and capacity building continue to challenge developing countries in preparing for the impacts of climate change.
This annotated bibliography addresses agricultural transformation and mechanization, dietary diversification and energy needs, and conservation tillage. Each citation is accompanied by an annotation briefly describing the findings and key takeaways.
This literature review provides information on the dynamics of the maize market and maize prices in Zambia. We address four key topics: average production costs and breakeven prices for maize farmers in Zambia, main drivers of volatility of maize production volumes, key factors driving the differences between Zambian and global maize prices, and policies that may have contributed to increased farmer productivity.
Smallholder farmers in Africa are largely located in poor rural areas, are often geographically dispersed, and have limited access to road and communication infrastructure, thus raising the cost of market participation. This is especially true for farmers growing relatively low value staple crops. This literature review summarizes research on the challenges and innovations in linking smallholder producers of staple grains to markets in Sub-Saharan Africa, with a focus on post-harvest issues including storage, aggregation, and transportation. For each post-harvest stage, we describe challenges faced by farmers and current efforts to address these challenges. In our review, we find a large amount of literature on the constraints to smallholder production and marketing but relatively few examples of innovative or novel technologies designed to improve storage and transportation for rural smallholder producers in Africa. Existing technologies have often been available for some time but have not seen widespread adoption, apparently due to high costs or inadequate funding for on-farm testing and extension. We conclude that the literature is somewhat divided as to whether interventions linking smallholder farmers to markets should be entirely market-driven and focus on linkages that can be profitable without subsidization, or whether NGO- and donor-driven interventions should play a role.
This report provides a general overview of trends in public and private agricultural research and development (R&D) funding and expenditures in Sub-Saharan Africa (SSA). The request is divided into two sections, covering public funding and private funding. Within each section, relevant data is presented on historical funding patterns, the types of research conducted, and which countries within SSA are financing R&D at the highest level. We find that the majority of growth in African public agricultural research funding took place in the 1960s, when real public spending on agricultural research increased 6% a year. From 1971 to 2000 annual growth averaged 1.4% a year. Public financing of agricultural R&D experienced a moderate shift in the 1990s from bilateral and multilateral donor funding to domestic government financing. The shift varied by country, but donor funding dropped for all SSA countries an average of 10%. Private research and development funding is heavily concentrated in developed countries with the United States and Japan the two biggest spenders. Within SSA, private R&D expenditures comprise 2% of all R&D spending. The main private actors in SSA are companies based in South Africa and Nigeria. The private sector is focused on research areas that involve marketable inputs, such as chemicals, seeds, and machines/
As our understanding of the impacts of hidden hunger on human nutrition grows, understanding the link between fertilizer use and human nutrition becomes increasingly important. This report presents an analysis of both grey and peer-reviewed literature on the effects of fertilizer use on nutritional quality of food, particularly the staples of maize, rice, wheat, cassava and legumes. We find that some nutrient deficiencies, such as zinc, can be effectively addressed through fertilizer use while others, such as iron deficiency, are more difficult to address. Promising breakthroughs with fortified and complete fertilizers present the opportunity to correct multiple deficiencies. Current fertilizer products exist that, when applied with the proper agronomic methods, can have a significant effect on nutrition in the developing world. However, it is important to recognize that there are many factors in the developing world that have the potential to inhibit the benefits of fertilizer for human nutrition. Two significant factors are poor farmers’ difficulty in procuring the correct product and the relative sophistication required to apply fertilizers at the correct amounts and time to achieve desired results. In addition, researchers have not focused on fertilizer and nutrition studies until recently, particularly micronutrient fertilizer studies, and few studies specifically study the impacts of fertilizer on human nutrition. More research needs to be done to understand the most effective combinations and techniques, and to understand whether these methods truly increase the amount of nutrients bioavailable to humans.
This brief reviews the literature on the links between agriculture and human nutrition in rural South Asia, exploring why South Asia has experienced enormous growth in agricultural productivity without subsequent reductions in hunger. An annotated review of relevant articles is included in addition to the analysis. The articles are presented by sub-topic, including sustained economic growth versus lack of progress in nutrition rates and hunger in South Asia, primary determinants of improved nutrition at the household level, agricultural productivity/reform and interventions in nutritional status.