Esta publicación es el resultado de un proceso de sistematización participativo facilitado por el Centro Internacional de Agricultura Tropical (CIAT) para el proyecto “Alianza para la Creación de Oportunidades de Desarrollo Rural a través de Relaciones Agroempresariales” (ACORDAR, por sus siglas en inglés).Este documento de sistematización pretende visibilizar el proceso de graduación o transición a la autosuficiencia de 34 organizaciones empresariales1 y/o agronegocios rurales atendidos por los miembros del consorcio y ubicados en 20 municipios del territorio nacional; Así mismo, procura r
At the request of the USAID Malawi Mission, the MEAS project (Modernizing Extension and Advisory Services – a USAID funded project) conducted a rapid scoping mission to examine the pluralistic extension system in Malawi and to develop recommendations for strengthening extension and advisory services in the country.
In direct agri-food chains (DAFCs), farmers and consumers are brought together with the aim of shortening, localizing and synergizing an agri-food chain. As food moves from the farm to the fork, all the economic activities are performed by farmers/producers or consumers, and none intermediary is required to handle an agri-food product before it is consumed. Any DAFC form provide a sort of liminal space for social learning and for local lay knowledge exchange, through face-to-face interactions.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
Natural resource management practices, such as the System of Rice Intensification (SRI), have been proposed to tackle agricultural challenges such as decreasing productivity growth and environmental degradation. Yet, the benefits of system technologies for farmers are often debated. Impacts seem to be context-specific, which is especially relevant in the small farm sector with its large degree of agroecological and socioeconomic heterogeneity. This was not always considered in previous research.
Most micro-level studies on the impact of agricultural technologies build on cross-section data, which can lead to unreliable impact estimates. Here, we use panel data covering two time periods to estimate the impact of tissue culture (TC) banana technology in the Kenyan small farm sector. TC banana is an interesting case, because previous impact studies showed mixed results. We combine propensity score matching with a difference-in-difference estimator to control for selection bias and account for temporal impact variability.
Food systems contribute 19%–29% of global anthropogenic greenhouse gas (GHG) emissions, releasing 9,800–16,900 megatonnes of carbon dioxide equivalent (MtCO2e) in 2008. Agricultural production, including indirect emissions associated with land-cover change, contributes 80%–86% of total food system emissions, with significant regional variation. The impacts of global climate change on food systems are expected to be widespread, complex, geographically and temporally variable, and profoundly influenced by socioeconomic conditions.
Ever since the Asilomar Conference on ‘Recombinant DNA' in February 1975, regulatory policies relating to recombinant DNA technology have focused on the idea that this technology implies threats to human health and the environment [1].
Extension and advisory services (EAS) perform an important role in agricultural development and help reduce hunger and poverty. Development efforts are increasingly complicated because of challenges such as natural resource depletion and climate change. Agricultural development frameworks have moved from a linear to a more complex systems perspective. Many scholars today use the agricultural innovation systems (AIS) framework as a conceptual model.
This book chapter reviews the literature on agricultural innovation, with the threefold goal of (1) sketching the evolution of systemic approaches to agricultural innovation and unravelling the different interpretations; (2) assessing key factors for innovation system performance and demonstrating the use of system thinking in the facilitation of processes of agricultural innovation by means of innovation brokers and reflexive process monitoring; and (3) formulating an agenda for future research.