Governments of low-income countries and international development donors are increasing their funding for research at least in part on the assumption that research has positive impacts on socioeconomic development. Four pathways are commonly cited to describe how research will contribute to development: 1. Investment in research will drive economic growth; 2. Investment in research will increase human capital; 3. Investment in research will lead to the development of pro-poor products and technologies; 4.
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.
What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.
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 study analyzes the current state of Agricultural Technical and Vocational Education and Training (ATVET) in Africa and presents its challenges and opportunities. A review of the ATVET in selected Sub-Saharan Africa countries shows that there are far too few training opportunities for young people and that often, the training offered does not match the needs of the private sector and of local administrations. ATVET trainings focus primarily on production skills and on producers themselves with
In this study, it is applies a participatory scenario modelling framework to assess potential societal responses to the impacts of climate change by the mid-21st century, and model consequent land use and land cover change scenarios under different livelihood futures as guided by communities’ members in the areas under investigation. The authors focused their analysis on two montane sites of the Eastern Afromontane Biodiversity Hotspot , the Taita Hills, Kenya, and a montane area north-west of Jimma, Ethiopia
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.
This presentation was given at the CIDA Stakeholders’ Workshop, ILRI, Addis Ababa, 2 May 2012. It introduced the value chain concept, value chains and marketing channels, business development services, and value chain upgrading.
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