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Strategic Priorities for Agricultural Development in Eastern and Central Africa
If agriculture in Eastern and Central Africa remains in its current state, not a single nation in the region will achieve the Millennium Development Goal of halving poverty by 2015. In the hopes of averting such a dismal outcome, this report analyzes agricultural development priorities and investment patterns in the region and their impact on growth and poverty rates, seeking an improved agricultural strategy. Using the Dynamic Research Evaluation for Management (DREAM) model and other tools to evaluate opportunities for increasing both agricultural and overall economic growth, the authors offer alternatives to the status quo. They propose approaches such as tailoring agricultural production to demand within Eastern and Central Africa, encouraging a wide variety of agricultural production to match the diversity of national demands and capacities, and promoting regional cooperation in agricultural development. Their analysis and conclusions should interest specialists in agricultural policy and investments, particularly those concerned with the impact of both on poverty reduction.
Benefits from the adoption of genetically engineered innovations in the Ugandan banana and cassava sectors: An ex ante analysis
The Government of Uganda has implemented programs and policies to improve the agricultural sector’s recent underperformance. Uganda’s two main food security crops, bananas and cassava, have been critically affected by two diseases: Banana Xanthomonas Wilt (BXW) and Cassava Brown Streak Disease (CBSD). The effectiveness of agronomic and cultural practices to control these diseases has been limited, requiring better alternatives. The Ugandan R&D sector in collaboration with international partners have developed genetically engineered innovations that can control both diseases. To examine the potential benefits to consumers and producers from the adoption of genetically engineered banana an...
Crop Selection and International Differences in Aggregate Agricultural Productivity
A large share of cross-country differences in productivity is explained by differences in agricultural productivity. Using a combination of sub-national agricultural statistics and geospatial datasets on crop-specific potential yields, we study the main drivers of this variation from a macroeconomic perspective. We find that differences in geographically-induced crop-specific comparative advantages can explain a substantial share of the variation in yields across the world. Data reveal substantial gaps between potential and observed yields in most countries. When decomposing these within country gaps, we find that crop selection gaps are on average larger than those induced by input usage alone. The results highlight the importance of understanding the interaction of geography and crop selection drivers in assessing aggregate agricultural productivity differences.
Assessment of outcomes based on the use of PIM-supported foresight modeling work, 2012-2018
This report presents results of a study to assess the use of foresight modeling tools and outputs produced since 2012 and funded through Flagship 1, Cluster 1.1 of the CGIAR Research Program on Policies, Institutions, and Markets (PIM). The goal of this study is to examine how the tools and outputs of foresight modeling supported by PIM through Flagship 1 (hereafter “PIM-supported foresight modeling”) have been used by stakeholders. The study aims to identify as many uses of and outcomes from the PIM-supported foresight modeling as possible. It is by no means comprehensive, but it does cover usage by a wide range of stakeholders from across the CGIAR system, other international organizations, academia, and national governments.
GM maize in Ethiopia: An ex ante economic assessment of TELA, a drought tolerant and insect resistant maize
Ethiopian economy has grown at an average rate that surpasses that of almost any other economy in the region over the last two decades. At the center of this development is the high priority placed on accelerating agricultural growth and achieving food security and poverty alleviation. Over the years, maize has become a main food security crop, widely produced and consumed by smallholder farmers, second only to teff in terms of area. Despite the sustained growth of maize production over the years, its yields continue to be lower than the world’s average. Of the many abiotic and biotic constraints that maize faces, insect attacks and droughts are two critical ones. The genetically modified ...
Gender research in the CGIAR research program on policies, institutions, and markets in 2018 and 2019
This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications. We highlight key gender findings and discuss the challenges faced by researchers in doing gender analysis, with a view to documenting lessons learned and improving practices. It is hoped that the gaps and strengths identified in this report will be useful inputs for future research under PIM and One CGIAR.
Insect-resistant cowpea in Nigeria: An ex ante economic assessment of a crop improvement initiative
Since oil prices’ decline in 2014, agriculture has received renewed interest in Nigeria as a key sector for achieving sustainable growth and generating foreign exchange. One of the identified obstacles to achieving these goals is the need to improve agricultural productivity. Cowpea is one of the priority crops identified for productivity improvement. Currently cowpea yields are below 900 kg/ha, but it has been shown that with the right technology, these yields could potentially double. One of the main biotic constraints for cowpea is the infestation of the insect pod borer (Maruca Vitrata). No conventional variety has been developed to resist this pest, but with the use of biotechnology a...
Atlas of African agriculture research and development
The Atlas of African Agriculture Research & Development is a multifaceted resource that highlights the ubiquitous nature of smallholder agriculture in Africa; the many factors shaping the location, nature, and performance of agricultural enterprises; and the strong interdependencies among farming, natural resource stocks and flows, rural infrastructure, and the well-being of the poor.
Agricultural productivity in Africa
Agricultural Productivity in Africa: Trends, Patterns, and Determinants presents updated and new analyses of land, labor, and total productivity trends in African agriculture. It brings together analyses of a unique mix of data sources and evaluations of public policies and development projects to recommend ways to increase agricultural productivity in Africa. This book is timely in light of the recent and ongoing growth recovery across the continent. The good news is that agricultural productivity in Africa increased at a moderate rate between 1961 and 2012, although there are variations in the rate of growth in land, labor, and total factor productivities depending on country and region. D...
A comparative analysis of global cropping systems models and maps
This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley. The analysis explores not only the final cropping systems maps but also the interdependencies of each product, methodological differences, and modeling assumptions, which will provide users with information vital for discerning between datasets in selecting a product appropriate for each intended application.
