The world’s population is likely to reach 9 billion by the middle of this century. The Food and Agriculture Organization of the United Nations (FAO) believes that 60 per cent more food will be needed by 2050 to sustain all these people. Where possible, this food should be produced where it is needed – in developing countries.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
The World Food Programme (WFP) has issued an urgent warning that 45 million people are teetering on the very edge of famine in 43 countries, with the slightest shock likely to push them over the precipice. Globally, up to 811 million people are chronically hungry, with 283 million acutely food insecure.
Against this backdrop, WFP is aiming to target 140 million people in 2021. This document outlines the general context and provides a snapshot of WFP’s work across several areas.
Weather risk is a serious issue in the African small farm sector that will further increase due to climate change. Farmers typically react by using low amounts of agricultural inputs. Low input use can help to minimize financial loss in bad years, but is also associated with low average yield and income. Increasing small farm productivity and income is an important prerequisite for rural poverty reduction and food security. Crop insurance could incentivize farmers to increase their input use, but indemnity-based crop insurance programs are plagued by market failures.
This report analyses the experiences and lessons from three World Bank-Supported watershed development projects in the Indian states of Karnataka, Himachal Pradesh, and Uttarakhand.5 The primary reason for the analysis was to guide the development and execution of new watershed programs in India, including new Bank-supported state-level operations in Uttarakhand and Karnataka, and a proposed national project now under preparation.
The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
El tema de la Segunda Conferencia Trienal del Foro Global de Investigación Agropecuaria (GFAR) que se celebró en Dakar, Senegal, del 22 al 24 de mayo 2003 (GFAR 2003) versó sobre la Investigación Agrícola y la Innovación Rural en pro del Desarrollo Sostenible. Fue realmente un tema adecuado dado el objetivo global actual y la atención sobre los aspectos del desarrollo sostenible así como el aumento de interés por la investigación en los procesos innovadores.
The presentation was given in January 2009 and introduced why a new approach for livestock development for poverty alleviation was desirable, innovation, innovation systems and value chains, building of innovation platforms, learning-oriented monitoring and evaluation, and scaling up and out.
Market opportunities are increasing at a rapid pace for livestock products, fuelled by rising incomes, globalisation and urbanisation, particularly in the developing world. At the same time, these opportunities bring increased complexity in the supply channels that market, distribute, organise and govern high-value products. This begs the questions on the ability of smallholder producers to contribute to this complex process.
This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data