In early 2020, GFRAS provided support to the Agricultural Extension in South Asia (AESA) Network and the Bangladesh Agricultural Extension Network (BAEN) in order to customize one of the NELK Modules in the context of Bangladesh. The BAEN Executive Committee selected the GFRAS NELK Module 7 on ‘Facilitation for Development’ for customization. AESA and BAEN jointly implemented the development of the customized module for Bangladesh. The process of customization consisted of five phases spread over a span of six months.
The Commission on Sustainable Agriculture Intensification (CoSAI) and the Foreign, Commonwealth and Development Office (FCDO) jointly commissioned a gap study to determine how far away innovation investment is from helping agri-food systems achieve zero hunger goals and the Paris Agreement while reducing impacts on water resources in the Global South. The results show that the world can come much closer with some well-placed investments.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
Despite significant work to enhance women’s empowerment in agriculture, women remain marginalized across the globe. This includes gender gaps in agricultural extension and advisory service implementation that can lead to inequitable resource and knowledge access by farmers, specifically women. However, gender does not exist in isolation, it is place and time specific. This study investigated the impact of gender and geography on smallholder farmer access to and agency over resources/knowledge.
The challenges faced by agricultural systems call for an advance in risk management (RM) assessments. This research identifies and discusses potential improvements to RM across 11 European Union (EU) farming systems (FS). The paper proposes a comprehensive, participatory approach that accounts for multi-stakeholder perspectives relying on 11 focus groups for brainstorming and gathering suggestions to improve RM.
Agriculture is crucial for the livelihood of millions of people worldwide and is one of the main drivers of deforestation, biodiversity loss and resource degradation. The contribution of agriculture to these environmental problems has been exacerbated by subsidies, which constitute the dominant public policy to support farmers. At the same time, other economic instruments introducing more sustainable land-use practices and incentivizing better environmental and social outcomes are already being applied worldwide.
The study was designed to answer the following three key questions:
(1) What types of investment instruments have been tested to support innovation in agri-food systems in the Global South, and how can these be categorized into a working typology?
(2) What is the evidence on how well different instruments have supported SAI's multiple objectives (e.g. social equality and environmental) at scale and what contextual and design factors affect their success or failure in achieving these objectives (e.g. type of value chain, who participates)?
What are the patterns of funding in agricultural innovation for the Global South1 ? Who are the key funders in this innovation and who are the key recipients? How doesthis funding split between various topics and value chains? What proportion of these funds support Sustainable Agricultural Intensification (SAI)? And how is SAI innovation funding split across different parts of the agriculture sector funding and innovation canvas?
Increasing investment and spending in agricultural innovation is not enough to meet Sustainable Development Goal (SDG) targets of ending poverty and hunger because the effectiveness of investments in low- and middle-income (LMI) countries is affected by the low quality of infrastructure and services provided, and by different norms and practices that create a considerable gap between financing known technical solutions and achieving the outcomes called for in the SDGs.