IFPRI’s flagship report reviews the major food policy issues, developments, and decisions of 2016, and highlights challenges and opportunities for 2017 at the global and regional levels. This year’s report looks at the impact of rapid urban growth on food security and nutrition, and considers how food systems can be reshaped to benefit both urban and rural populations. Drawing on recent research, IFPRI researchers and other distinguished food policy experts consider a range of timely questions:
■ What do we know about the impacts of urbanization on hunger and nutrition?
This report assesses trends in investments, human resource capacity, and outputs in agricultural research in SSA, excluding the private (for-profit) sector. The analysis uses information collected by Agricultural Science and Technology Indicators (ASTI)—led by the International Food Policy Research Institute (IFPRI) within the portfolio of the CGIAR Research Program on Policies, Institutions, and Markets (PIM).
This chapter proposes a network-based framework to analyze and evaluate participatory and evidence-based policy processes. Four network based performance indicators are derived by incorporating a network model of political belief formation into a political bargaining model of the Baron–Grossmann–Helpman type. The application of our approach to the CAADP reform in Malawi delivers the following results: (i) beyond incentive problems, i.e.
Several posters have been created on the occasion of the 5th TAP Partners Assembly (Laos, 20-22 September 2017) to show recent activities and achievements in the eight pilot countries of the CDAIS project.
This publication presents the results and lessons learned from the FAO-Sida supported pilot project “Strengthening capacity for climate change adaptation in land and water management” in Ethiopia, Kenya and Tanzania. The project proposed an integrated package of approaches that addressed the drivers of vulnerability and targeted climate change impacts. It focused on technologies that improve soil health and facilitate water conservation, the diversification of the sources of livelihood and income, and the strengthening of local institutions.
As the world gets hotter and rainfall more erratic, the type and availability of ingredients for daily meals are changing. With support from the Government of Canada and the Global Environment Facility’s Least Developed Countries Fund, the Canada-UNDP Climate Change Adaptation Facility (CCAF) has been supporting six least developed countries and small island developing states (Cabo Verde, Cambodia, Haiti, Mali, Niger and Sudan) to strengthen climate resilience and enhance food security. To better understand and share the experiences from these six countries, and to celebrate some of the s
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.
This Doctoral thesis analyzes the Ethiopian agricultural innovation, in particular the case of dairy farming and business in the Addis Ababa milk shed. The innovation capacity assessment model is used to develop the methodology of this study. Data collection, guided by the key components of the innovation system framework, include sector mapping, historical evolution of the sector, resource base analysis, interactions between actors, the policy environment, habits and practices, and resilient features and leverage points.
This paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC. The findings indicate that labor-using technological change generates absolute and relative pro-poor effects whereas capital-using technological change leads to immiserizing growth.