This study examines the contributions of IFPRI over the last 10 years to policy development, training, and capacity-strengthening activities with Malawi, focused particularly on addressing the chronic food insecurity and malnutrition that has prevailed for the last 60 years.The paper is divided into five sections.
Early applications of the innovation systems framework to developing-country agriculture suggest opportunities for more intensive and extensive analysis. There is ample scope for empirical studies to make greater use of the theoretical content available in the literature, and to employ more diverse methodologies, both qualitative and quantitative. Further, there is room to improve the relevance of empirical studies to the analysis of public policies that support science, technology, and innovation, as well as to policies that promote poverty reduction and economic growth.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments.
National governments, especially in sub-Saharan Africa, have limited budgets and are forced to make difficult funding decisions regarding the provision of social services and the support of agricultural programs. These provisions can play a critical role in rural incomes and agricultural production but due to data constraints, the effects of different types of social services on agricultural productivity in this region have not been analyzed in detail.
Agricultural research and innovation has been a major source of agricultural growth in developing countries. Unlike most research on agricultural research and innovation which concentrated on the role of government research institutes and the international agricultural research centers of the Consultative Group for International Agricultural Research, this paper focuses on private sector research and innovation. It measures private research and innovation in India where agribusiness is making major investments in research and producing innovations that are extremely important to farmers.
The frequency of natural disasters, especially storms and floods, has been increasing globally over the last several decades. Developing countries are especially vulnerable to such disasters but are often the least capable of coping with the associated impacts because of their limited adaptive capacity. Despite the increased interest in strengthening institutional capacity, it remains a challenge for many developing countries. Institutional capacity for disaster management and risk reduction can be built through various mechanisms.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
This paper shares the first results of an ongoing collaborative action research in which ten development organisations explored different Planning, Monitoring and Evaluation (PME) approaches with the aim of dealing more effectively with complex processes of social change. There are four reasons why we think this paper may be of interest: 1) The paper illustrates a practical example of action research whereby the organisations themselves are becoming the researchers.
Mobile phone based money services have spread rapidly in many developing countries. We analyze micro level impacts using panel data from smallholder farmers in Kenya. Mobile money use has a large positive net impact on household income. One important pathway is through remittances, which contribute to income directly but also help to reduce risk and liquidity constraints, thus promoting agricultural commercialization. Mobile money users apply more purchased inputs, market a larger proportion of their output, and have higher farm profits.