Types of Research
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While literature on achieving Inclusive Agricultural Transformation (IAT) through input market policies is relatively robust, literature on the effect of output market policies on IAT is rarer. We conduct a selective literature review of output market policies in low- and middle-income countries to assess their influence on IAT and find that outcomes are mixed across all policy areas. We also review indicators used to measure successful IAT, typologies of market institutions involved in IAT, and agricultural policies and maize yield trends in East Africa. This report details our findings on these connected, yet somewhat disparate elements of IAT to shed more light on a topic that has not been the primary focus of the literature thus far.
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 Socioeconomic Survey (ESS), Wave 3 (2015-16)
- Kenya FinScope, Wave 4 (2015)
- Kenya FII, Wave 4 (2016)
- Nigeria FII, Wave 4 (2016)
- Rwanda FII, Wave 4 (2016)
- Tanzania National Panel Survey (TNPS), Wave 4 (2014-15)
- Tanzania FinScope, Wave 4 (2017)
- Tanzania FII, Wave 4 (2016)
- 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:
- 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
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.
How development organizations, NGOs, and governments can best allocate scarce resources to those in need has long been debated. As opposed to universal allocation of resources, a more targeted approach attempts to minimize program costs while maximizing benefits among those with the greatest need or market opportunity. Drawing on literature from several sectors,this brief presents two categories of beneficiary targeting in the development context: administrative targeting and self-targeting. The paper includes a brief overview of targeting and segmentation in development, a summary of reasons for targeting, theoretical and practical critiques of targeting, and a discussion of targeting methods in research and practice, including examples from the literature. Implementation examples cited in this body of research include food aid program targeting by self-reported household income in Egypt; fertilizer use in low-potential zones of Uganda; and seven strategic initiatives to improve drought and disease resistance in crops in Asia and Sub-Saharan Africa. We find that beneficiary segmentation has several theoretical advantages. Improved targeting may increase the efficiency and equity of organizational and program efforts and help better match interventions to recipient preferences, increasing the likelihood of adoption and participation. Development organizations may improve the focus of both their strategic priorities and budgets through customized targeting methods. However, concerns exist regarding the accuracy, reliability, cost, and time-constraints of targeting methodologies. Creating valid and reliable target groups with implementation potential remains a significant challenge.
This report presents data on selected agricultural commodities for the second quarter of 2010 (April through June) and July, August, and September, where available. It provides a summary of recent changes and trends in prices, demand, supply, and market conditions for key agricultural commodities. We find that agricultural commodity prices increased sharply in the second quarter due to an increase in grain prices triggered by supply disruptions in Russia and Eastern Europe. The rise in grain prices led to a rally in commodity prices in August that caused some analysts to question whether markets might return to food price spikes similar to those observed during the 2008 food price crisis. Despite some concerns, however, wheat supplies appear ample and commodity prices seem to have stabilized.
The purpose of this literature review is to examine research and decision-making tools that model the impacts of agricultural interventions. We begin with a short explanation of what model features are being described. We then review decision-support tools and user-end modeling tools (menu-driven tools with an interface designed for easy use), as well as academic and professional research models for assessing the potential impacts of agricultural interventions. This review also includes decision tools and models for analyzing agricultural and environmental policies outside of technology impacts in Sub-Saharan Africa and South Asia. The other tools mentioned here, for example a tool that considers nutritional intervention impacts, are included to help provide a broader understanding of the structure and availability of user-end, decision-making tools. In the final section of this brief, we review the most complex models used more in academic research than for in-field decision-making.
Market-oriented agricultural production can be a mechanism to increase smallholder farmer welfare, rural market performance, and contribute to overall economic growth. Cash crop production can allow households to increase their income by producing output with higher returns to land and labor and using the income generated from sales to purchase goods for consumption. However, in the face of missing and underperforming markets, African smallholder households are often unable to produce efficiently or obtain staple foods reliably and cheaply. This literature review summarizes the available literature on the impact of smallholder participation in cash crop and export markets on household welfare and rural markets. The review focuses exclusively on evidence from Sub-Saharan Africa regarding top and emerging export crops, with the addition of tobacco and horticulture due to the volume of research relevant to smallholder welfare gains from the production of these crops. It includes theoretical frameworks, case studies, empirical evidence, and historical analysis from 42 primary empirical studies and 112 resources overall.
EPAR’s Poultry Markets in West Africa series provides an overview of poultry market trends across West Africa and compares the opportunities for poultry sector development in Benin, Burkina Faso, Côte d’Ivoire, Ghana, Mali, Niger, Nigeria, Senegal and Sierra Leone. The briefs in this series provide detailed country-specific poultry market analyses. The primary resources for these analyses included many reports prepared in response to the avian influenza epidemic, which may explain some of the emphasis on the importance of biosecurity in the available literature. We find that the West African poultry sector faces high production costs, safety concerns due to lack of sanitary controls, and technical constraints in processing and marketing. In addition to biological issues, the lack of breeders, marketing, and processing technology present technical constraints to poultry sector growth.
This report provides an overview of poultry market trends in Benin as compared to the wider West African region. In Benin, live chickens, hens, poultry meat, and eggs for consumption are subject to the 20 percent Common External Tariff (CET), which facilitates an influx of cheap poultry imports from the European Union (EU). Live turkeys and other poultry, reproducers, and hatching eggs are subject to a 5 percent tariff. In the late 1990s, Benin experienced an influx of cheap poultry products primarily from the EU. By 2002, annual poultry imports reached approximately 24,000 tons, more than the poultry imports of any other country in West Africa. In 2004 and 2005, Benin banned imports of poultry and poultry by-products from countries affected by avian influenza. Current information about the poultry industry in Benin is limited. The primary sources for this analysis are a FAO poultry sector review from 2006, a poultry sector project report from the New Partnership for African Development (NEPAD), and a 2006 assessment by the Benin Ministry of Agriculture, Livestock, and Fishing. We find that the poultry sector plays an important economic, social and cultural role in Benin. Poultry and egg production is a major contributor to the agricultural sector and is an important source of nutrition and income for Beninese households. The poultry sector in Benin has the potential to improve the nutritional wellbeing and income security of a large percentage of the population. Traditional smallholders produce the majority of poultry products domestically; however, current production is limited due to low productivity, poor biosecurity, and lack of inputs. We find that a reduction of foreign imports and greater institutional support for the industry may help domestic producers reach their potential.
This report provides an overview of poultry market trends in Sierra Leone as compared to the wider West African region. Sierra Leone did not adopt the Common External Tariff (CET) until 2005, however 2004 tariff rates were already on par with official CET rates. The tariff for live chickens, hens, poultry meat and eggs for consumption remains at 20 percent, which facilitates an influx of cheap poultry imports from Europe. Live turkeys and eggs for hatching are subject to a 5 percent tariff. There is little public information available regarding poultry production in Sierra Leone. The primary sources for this analysis are Government of Sierra Leone documents responding to the avian influenza epidemic in the West African region. This report provides a brief overview of consumption and consumer preferences, domestic production, trade, the political environment, and opportunities for future poultry development in Sierra Leone. Because of the small amount of information regarding poultry production in Sierra Leone, we find that further information is necessary to understand the scope of opportunity for poultry market development.