Esta publicación es el resultado del Ciclo de Aprendizaje 2008–2010 para el Fortalecimiento de Organizaciones de Productores y Productoras, desarrollado por las organizaciones que hacen parte de la Alianza de Aprendizaje en Nicaragua. Las 23 historias recogidas en este documento fueron escritas en talleres de sistematización con miembros clave de las organizaciones de productores que participaron del proceso y sus proveedores de servicios.
Collaborative approaches are being promoted as inclusive forums for bringing state and non-state interests together to solve complex environmental problems. Networks have been recognized through previous research as important ways to involve stakeholders in such forums with members participating in knowledge creation and sharing as part of deliberative processes. Less well understood is the effectiveness of network creation and promotion by external actors, especially in relation to knowledge creation and sharing.
Addressing complex environmental problems requires the collaboration of stakeholders with divergent perspectives, a goal that is challenged by diverse factors. Challenges hindering multi-stakeholder collaboration (MSC) for sustainability have previously been addressed in the context of transnational partnerships. However, less is known regarding how place-based MSC operates, especially in the context of the Global South.
Narrowing the food supply-demand gaps between urban and rural areas within a regional space has today become a serious challenge due to the growing urban population. Resultantly, urban markets are increasingly being dominated by industrial food chains, despite their negative socio-environmental impacts. To address this issue, this paper discusses the need and significance of ‘Collaborative Food Alliances’ (CFAs), which promote the direct supply of food products from rural farmers to urban residents through improved producer–consumer relationships.
Digital technologies such as sensors, drones, satellites and blockchain are seen as a promising developments for value chain transparency. These technologies are often envisioned to enable more detailed, objective, and complete information collection, and to create secure, transparent and democratic ways of information sharing. The development of such digitally-enabled modes of information collection and analysis leads to what we term the rise of ‘hyper-transparency’.
This editorial paper brings together different streams of research providing novel perspectives on co-design and co-innovation in agriculture, including methods, tools and organizations.
Se describe un estudio de caso, en la Isla de la Juventud, cuyo objetivo fue desarrollar un esquema de arreglo productivo local como forma de gestión eficiente para la mejora del desempeño de los agentes que se articulan. Se tomó como base una metodología con adaptaciones, se describe entre sus componentes; las barreras, esquema de Arreglo Productivo Local, la identificación de innovaciones y el desempeño de
Agricultural Innovation Systems (AIS) approach, arise as tool for better understanding dynamics and complexity of agricultural innovation. The objective of this article is present a framework for AIS capability development, taking as a scientific reference, emerging economy countries experiences. A multi-dimensional methodology of literature review and content analysis is implemented, supported in bibliometric and data mining techniques.
Participation is connected to technology through the notion of innovation systems. To make the connection work, it is argued, the focus has to shift from a framing of participation in terms of democratic entitlement to a framing in terms of the settlement of issues (i.e. politics from below), The innovation system is an appropriate notion to see where issues are likely to lock on to processes of technological change.
The current study examined the extent of knowledge concerning agricultural innovation systems amongst researchers, extension agents, farmers, input dealers, and marketers, while determining their attitude towards collaborating with agricultural innovation systems. Through using a simple random sampling technique; researchers, extension agents, farmers, input dealers, and marketers were selected as the study population.