Types of Research
This literature review examines the environmental impacts of cattle in pastoral and mixed farming systems in Sub-Saharan Africa and South Asia. Cattle are frequently cited as having the most severe overall environmental impacts among livestock species due to: methane and nitrous oxide released from digestion and manure; land use and conversion; desertification; inefficient ratio of weight of feed and water consumed to weight of meat and dairy produced; conflicts between livestock herders and wildlife; the large volume of wastewater produced in meat and hide processing; and overgrazing of riparian areas. However, cattle have also been found to provide several environmental benefits such as keeping wildlife corridors open, preventing the spread of noxious weeds, and promoting the growth of local vegetative species. Mitigation strategies vary by category of environmental impact, but largely suggest improved productivity to reduce land conversion, modified management systems (e.g., biodiversity, water use and consumption, farm and pastures, grain and other feed, and waste), and the reduction of livestock numbers altogether.
This presentation summarizes the biotic (insects, viruses, fungi, bacteria, weeds, and post-harvest pests) and abiotic (drought and soil nutrients) stresses that may be addressed or countered in order to improve crop yield in Sub-Saharan Africa and South Asia. Data is sourced from FAOSTAT, GAEZ, a series of academic papers by Waddington & Dixon, and IMPACT model estimates. Slides compare area harvested, yield, and yield gap percentage with total calories per year, the 2005 value of production, and projected growth between 2005-2030.
This report presents summary of recent changes and price trends, demand, supply, and market conditions for selected agricultural commodities for the first quarter of 2011 (January through March). The first quarter of 2011 was characterized by price volatility, particularly in cereals, and overall higher global commodity prices. Food prices generally continued the rise seen in 2010’s third and fourth quarters, with a minor drop-off resulting from the earthquake and nuclear crisis in Japan. Dairy, cotton, and cereals led the commodity gains. Stocks generally remained low, while consumption was seen as increasing.
Asset-Based Community Development (ABCD) is a development framework which focuses on the capacities, skills and social resources of people and their communities, rather than initially focusing on the needs, deficiencies, constraints and problems of a community.1 This document contains three sections. The first section summarizes several papers which either (1) apply ABCD or similar asset-focused development frameworks in a rural/agricultural context and to development in Sub-Saharan Africa, or (2) provide general guidance on the implementation of ABCD approaches to development. The second section provides more detail on how Oxfam and the Coady International Institute have applied ABCD in Ethiopian communities.
Finally, in order to provide an example of how ABCD might be applied to a Foundation project, the third section briefly notes how an ABCD strategy might differ from the Foundation’s proposed constraints-based Bihar strategy.
Agriculture is a principal source of livelihood for the Tanzanian population. Agriculture provides more than two-thirds of employment and almost half of Tanzania‘s GDP. Women play an essential role in agricultural production. The sector is characterized as female-intensive, meaning that women comprise a majority of the labor force in agriculture (54%). This brief reviews the academic and grey literature on gender and agriculture in Tanzania, providing an overview on the structure of households, the household structure of agricultural production, information on women’s crops, and gender and land rights in Tanzania. We conclude with a summary of challenges to women in agriculture, and of potential implications for women of advancements in production technology and other economic opportunities at the household level.
This research brief synthesizes evidence on the effects of policy incentives on agricultural productivity. The evidence discussed is primarily drawn from documents provided to EPAR by the Bill and Melinda Gates Foundation. We review the role of policy and institutions in the Asian Green Revolution, a detailed case study on how policy changes have removed smallholder productivity constraints and contributed to growth, and the theory on the connection of policy incentives to productivity growth.
This brief presents selected material from the Fourth African Agricultural Markets Program (AAMP) policy symposium, Agricultural Risks Management in Africa: Taking Stock of What Has and Hasn’t Worked, organized by the Alliance for Commodity Trade in Eastern and Southern Africa and the Common Market for Eastern and Southern Africa that took place in Lilongwe, Malawi, September 6-10, 2010. We draw almost exclusively from Rashid and Jayne’s summary, “Risk Management in African Agriculture: A review of experiences.” This article summarizes across the background papers, with major findings grouped into three broad categories: cross cutting, government-led policies, and modern instruments.
This brief explores agricultural data for Tanzania from the LSMS-ISA and Farmer First household surveys. We first present the differences in the LSMS and Farmer First survey design and in basic descriptives from the two data sources. We then present the results of our initial LSMS data analysis using the 2008/2009 wave of the Tanzania National Panel Survey (TZNPS), focusing on the agricultural data, before presenting our analysis of farmer aspirations and of gender differences using the Farmer First data.
This report combines analyses from four previous EPAR briefs on the effects of climate change on maize, rice, wheat, sorghum, and millet production in Sub-Saharan Africa (SSA). In addition, this brief presents new analysis of the projected impact of climate changes in SSA. We include comparisons of the importance of each crop, of their vulnerability to climate change, and of the research and policy resources dedicated to each. Especially with respect to climatic susceptibility, these rankings provide a comparative summary based upon the analysis conducted in the four previous EPAR briefs, statistical analyses of historical yield and climate data, and future climate model predictions. According to the indicators analyzed, our research suggests that maize leads the cereal crops in terms of importance within SSA and in terms of research and policy attention. Our analysis of climate conditions and the crop’s physical requirements suggests that many maize-growing areas are likely to move outside the range of ideal temperature and precipitation conditions for maize production. Rice is the third most important crop in terms of consumption dependency, fourth in terms of production, but second only to maize in terms of research funding and FTEs. Sorghum and millet rank second and third in production importance and second and fifth in consumption importance, but rank below maize and rice in terms of FTE researchers. Their role is complicated by the fact that they are often considered inferior goods; SSA consumers often substitute away from sorghum and millet consumption if they are able to do so. Wheat is the least-produced crop of the five, and the second to last in terms of consumption importance. However, it still ranks above millet in terms of FTE researchers.
This report provides an overview of past, current, and projected future trends in agricultural productivity growth. It is difficult to measure productivity and while there are many robust empirical studies contributing to the productivity literature, there is no methodological consensus and each methodology used carries its own set of biases. This review looks at recent assessments of total factor productivity (TFP) and partial factor productivity (PFP) growth measures of land and labor productivity and crop and livestock yields, which offer multiple indicators with mixed evidence for global trends in agricultural productivity growth. We find that TFP and PFP measures of agricultural productivity lend different strengths to an analysis of trends over time. While TFP is theoretically a better measure of an economy’s overall efficiency, methodological debates yield a wide range of estimates. PFP measures are simpler to estimate, however since they fail to account for all inputs, partial measures are more limited in their ability to explain productivity changes over time.