Year Published
- 2008 (1) Apply 2008 filter
- 2009 (11) Apply 2009 filter
- 2010 (16) Apply 2010 filter
- 2011 (0)
- 2012 (3) Apply 2012 filter
- 2013 (1) Apply 2013 filter
- (-) Remove 2014 filter 2014
- 2015 (1) Apply 2015 filter
- (-) Remove 2016 filter 2016
- (-) Remove 2017 filter 2017
- 2018 (0)
- 2019 (0)
- 2020 (1) Apply 2020 filter
- 2021 (0)
Research Topics
Populations
Types of Research
- Data Analysis (2) Apply Data Analysis filter
- Literature Review (3) Apply Literature Review filter
- Portfolio Review (0)
- Research Brief (0)
Geography
- East Africa Region and Selected Countries (4) Apply East Africa Region and Selected Countries filter
- Global (4) 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
- (-) 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 Food Security & Nutrition filter Food Security & Nutrition
- (-) Remove Sub-Saharan Africa filter Sub-Saharan Africa
- (-) Remove Research & Development filter Research & Development
- (-) Remove Market & Value Chain Analysis filter Market & Value Chain Analysis
- (-) Remove 2016 filter 2016
- (-) Remove 2014 filter 2014
- (-) Remove Poverty filter Poverty
- (-) Remove 2017 filter 2017
- (-) Remove West Africa Region and Selected Countries filter West Africa Region and Selected Countries
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.
Common aid allocation formulas incorporate measures of income per capita but not measures of poverty, likely based on the assumption that rising average incomes are associated with reduced poverty. If declining poverty is the outcome of interest, however, the case of Nigeria illustrates that such aid allocation formulas could lead to poorly targeted or inefficient aid disbursements. Using data from the World Bank and the Nigerian National Bureau of Statistics, we find that while the relationship between economic growth and poverty in Nigeria varies depending on the time period studied, overall from 1992-2009 Nigeria’s poverty rate has only declined by 6% despite a 70% increase in per capita gross domestic product (GDP). A review of the literature indicates that income inequality, the prominence of the oil sector, unemployment, corruption, and poor education and health in Nigeria may help to explain the pattern of high ongoing poverty rates in the country even in the presence of economic growth. Our analysis is limited by substantial gaps in the availability of quality data on measures of poverty and economic growth in Nigeria, an issue also raised in the literature we reviewed, but our findings support arguments that economic growth should not be assumed to lead to poverty reduction and that the relationship between these outcomes likely depends on contextual factors.
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.
The commercial alcohol industry in Africa may provide opportunities to increase market access and incomes for smallholder farmers by increasing access to agriculture-alcohol value chains. Despite the benefits of increased market opportunities, the high costs to human health and social welfare from increased alcohol use and alcoholism could contribute to a net loss for society. To better understand the tradeoffs between increased market access for smallholders and societal costs associated with harmful alcohol consumption, this paper provides an inventory of the societal costs of alcohol in Sub-Saharan Africa (SSA). We examine direct costs associated with addressing harmful effects of alcohol and treating alcohol-related illnesses, as well as indirect costs associated with the goods and services that are not delivered as a consequence of drinking and its impact on personal productivity. We identified resources using Google Scholar and the University of Washington libraries, and utilized the Global Burden of Disease (GBD) database by the Institute for Health Metrics and Evaluation (IHME) and the World Health Organization’s Global Information System on Alcohol and Health (GISAH) database. We also utilized FAOSTAT to retrieve raw data on national-level alcohol production and export statistics. We find that hazardous alcohol use contributes to early mortality and morbidity, loss of productivity, property damage, and other social costs and harms for drinkers and those around them. Drinking also affects vulnerable segments of the population disproportionately. Policymakers, local authorities, and donor agencies can use the information presented in this paper to plan and prepare for the higher consumption levels and subsequent social costs that may follow through agricultural development and economic growth in the region.