Este libro describe el proyecto Cadenas de Valor 2.0 - Promoviendo la Gestión del Conocimiento para el Desarrollo de Cadenas de Valor Inclusivas y Sostenibles. El libro también trae estudios de caso detallados a respecto de Cadenas evaluados por el proyecto, tales como: la cadena del café, la cadena de hortalizas, la cadena del frijól y la cadena de la miel.
Selon l'association ENJEAL NYS AGRO, généralement au Cameroun les chefs de poste Agricole n'innovent pas dans leurs services, ils s'attendent tout du gouvernement pour mener un projet ou une activité quelconque. Ceci est un rapport qui présente l'impact d'un séminaire initié par un chef de Poste Agricole (Y. S. Ngaleu).
This Coaching Process guide was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
This brief argues that youth-inclusive investments to modernise the agricultural sector will unleash its huge potential, offer attractive employment opportunities and create a level playing field for rural girls and boys. It sets out several youth-inclusive approaches that will help agricultural value chain development programmes meet the needs of young people.
This study considers what lessons might be learned from the cassava value chain in the context of CTA’s interest in the potentials of: digital financial services for agriculture, such as mobile payments for farmers’ products; other payment streams for financial inclusion of farmer; index based insurance services; digital services to support access to loans and credits. This research provides a comprehensive market study of cash usage behavioural practices and financial literacy among cassava farmers in Ghana and Nigeria.
El objetivo de este estudio fue identificar la estructura de la gobernanza para ampliar y consolidar el uso de prácticas de Adaptación basada en Ecosistemas (AbE) en agricultura. Se analizaron tres paisajes productivos distribuidos en tres países (Honduras, Guatemala y Costa Rica), caracterizados por la dedicación a la caficultura de pequeña escala. Para cada uno de estos paisajes se identificaron los actores que intercambian información entre la escala nacional y el nivel de los productores.
This work was presented by the Director General of Information Centre of the Ministry of Agriculture and Rural Affairs of China about the chinese experience in enhance the access of the rural areas to the internet and e-commerce. The presentation is divided in three parts: 1) Development and changes in China's agriculture and rural areas; 2) China's main approach to promoting e-agriculture and e-village; 3) Experience in e-agriculture and e-village of China.
In this study was tested how different ways of composing collaborative action networks influence food innovation. Networks have received considerable attention in the literature and are perceived to enhance the likelihood of innovation success by overcoming resource and capability deficiencies. While previous studies of collaborate innovation in the food sector have been mostly qualitative case studies of one or a few networks, we compare 96 networks which were all structured according to the same network template.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.