While education access has improved globally, gains are uneven, and development impacts driven by increases in education continue to be left on the table, especially in rural areas. Demand-driven extension and advisory services (EAS) – as a key institution educating rural people while providing agricultural advice and supplying inputs – have a critical role to play in bridging the education gap. This can help ensure that millions of young people successfully capitalise on opportunities in agriculture markets, as surveys in Rwanda and Uganda demonstrate.
A bilateral project between the Swiss Agency for Cooperation and Development (SDC) and the Nepalese government, which ran from 2016 to 2020 and covered 61 municipalities in provinces 1, 3 (Bagmati) and 6 (Karnali), with technical support from the Swiss NGO Helvetas, aimed to promote a multi-stakeholder approach to agricultural services in Nepal.
The development of future food systems will depend on normative decisions taken at different levels by policymakers and stakeholders. Scenario modeling is an adequate tool for assessing the implications of such decisions, but for an enlightened debate, it is important to make explicit and transparent how such value-based decisions affect modeling results.
This paper explores the potential of the multi-strata design used in edible forest gardens based on studies during the establishment of edible forest gardens (the first four years) in the agricultural settings of a group of participating farms in Sweden. The design and species composition of such gardens, the kind of food they may provide, and how they would best fit into the present landscape are discussed.
Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making. This paper focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance.
This study analysed Swedish stakeholders’ views on future developments of organic production and consumption based on Organic 3.0, a strategic initiative by the International Federation of Organic Agriculture Movements (IFOAM). Focus group discussions were carried out with actors representing different parts of the organic value chain in Sweden. These identified a number of tensions, four of which represented an unresolved dichotomy in the way forward for the organic movement and its relevance for organic production in most settings.
ICT-driven digital tools to support smallholder farmers are arguably inevitable for agricultural development, and they are gradually evolving with promising outlook. Yet, the development and delivery of these tools to target users are often fraught with non-trivial, and sometimes unanticipated, contextual realities that can make or mar their adoption and sustainability. This article unfolds the experiential learnings from a digital innovation project focusing on surveillance and control of a major banana disease in East Africa which is being piloted in Rwanda.
Recent research on agricultural innovation has outlined social networks’ role in diffusing agricultural knowledge; however, so far, it has broadly neglected the socio-spatial dimensions of innovation processes. Against this backdrop, the authors applies a spatially explicit translocal network perspective in order to investigate the role of migration-related translocal networks for adaptive change in a small-scale farming community in Northeast Thailand.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.