WP3 intends to address the question: How can cross-food value chain and market services function better to increase employment and boost income of smallholders and SMEs?
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The economy of Bangladesh is largely defined by the agricultural sector, which is reflected in its yearly GDP contribution of approximately 11% in the past few years (World Bank, 2022).
The USAID-funded MENU Activity implemented by HarvestPlus Uganda set out to increase the production, marketing, and consumption of biofortified crops in Uganda as part of a broader effort to improve the nutritional status of 420,000 Ugandans, part
Introducing biofortified crops as new crops on the market required people to receive the right information as to why they should produce and consume these crops. Nutrition trainings were a platform to disseminate this much needed information.
Season’s greetings! The 47th issue of POSHAN’s Abstract Digest features studies on maternal nutrition, anemia, and infant and young child feeding (IYCF) practices.
International extension networks provide vital services to stakeholders using a variety of organizational structures.
Financial services and logistics innovation within agri-food value chains: A conceptual framework
Finance and logistics services for agricultural value chains based on technological innovations exist in several LMICs, but they are not often extended to small holders or SMEs working in the agricultural midstream.
Agri-food value chains (AVCs) intermediate the flow of products between largely rural farmers, fisherfolk, or herders and increasingly urban consumers.
Agricultural R&D investments and development goals in sub Saharan Africa: Assessing prioritisation of value chains in Senegal
We look at the prioritisation of agricultural value chains (VCs) for the allocation of R&D resources that maximise development outcomes (poverty, growth, jobs and diets) in Senegal.
There are few wage-earning opportunities for the 223 million unemployed or underemployed youth in developing and emerging economies. Many of those young people are in rural areas where the local economy is largely agricultural.
Mechanization, digitalization, and rural youth engagement are central to African agricultural transformation.
This brief shows how innovative financing can help cut agricultural pollution in the People's Republic of China’s Xin'an River Basin by plugging funding gaps for nature-based solutions that also mitigate against climate change.
In developing countries, a substantial amount of perishable and often highly nutritious commodities, such as fruits and vegetables, are lost after harvest, mainly caused by the lack of key infrastructures, such as electricity and cold chain facili
Ethiopia’s rivers and streams (Figure 1) and its ground water potential of 2.6 billion m3 of groundwater potential (Awulachew et al., 2008) is estimated to have a potential to irrigate 5.3 million hectares of land.
Agricultural research and development (R&D) investment is positively associated with high returns, but these returns take time—often decades—to develop.
There are few wage-earning opportunities for the 223 million unemployed or underemployed youth in developing and emerging economies. Many of those young people are in rural areas where the local economy is largely agricultural.
This paper provides estimates of the global investment gap in agricultural research and development (R&D) and innovation.
Critical review of indicators, metrics, methods, and tools for monitoring and evaluation of biofortification programs at scale
Sound monitoring and evaluation (M&E) systems are needed to inform effective biofortification program management and implementation.
Multidimensional impacts from international agricultural research: Implications for research priorities
Investors in international agricultural research seek sustainable agri-food technologies that can potentially serve multiple objectives, including economic growth, food security, and sustainable use of natural resources.
To understand the effects of COVID-19, the political crisis, and other shocks on Myanmar’s agricultural wage laborers (those workers relying on casual labor in agriculture), we rely on data from three rounds of the Myanmar Household Welfare Survey