This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data
This study analyzed the determinants of ICT usage in agricultural value chains among rural youth in Busia County, Kenya. A total of 213 young farmers were randomly selected and interviewed using semi-structured questionnaires. Descriptive statistics and Poisson regression model were applied in data analysis. Findings showed youth participation using ICTs was concentrated at the marketing level of the agricultural chain activities.
The objectives of this study were 1) to describe farming systems in Zoghmar community at Sidi Bouzid site; 2) analyze the existing lamb production chain and 3) develop potential technical and organizational pathways to better respond to farmers and consumers needs. A total of 120 surveys was conducted in Sidi Bouzid region including sheep owners, butchers and consumers. The project initiated the formation of a farmers association at Zoghmar community to establish a transparent lamb production chain.
Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.
This publication comprises 24 full papers/abstracts presented at the “High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific” (Bangkok, 8-9 December 2015).
El objetivo central de la estrategia es alcanzar la seguridad alimentaria de los más de cuatro millones de pequeños productores rurales e incrementar su productividad, alcanzando la sustentabilidad en el largo plazo, por medio de una estrategia que garantice la operación eficiente de una red de extensión rural con enfoque territorial que incremente sustantivamente la cobertura de los servicios.
El propósito de este estudio fue evaluar el aporte de las Escuelas de Campo (ECAS) al fortalecimiento de capacidades de productores ganaderos, específicamente en sus capitales humanos, utilizando la integración del Marco de Medios de Vida Sostenibles (MVS) y el Marco de Capitales de la Comunidad (MCC). Se identificaron cambios en los capitales de los productores influenciados por las ECAS usando métodos mixtos como entrevistas semi- estructuradas, grupos de discusión focal, observación sistemática de fincas y hogares.
The core idea of the article is the existence of complicated array of deterrent factors that influences innovation activity of agriculture organizations, and subjective, psychological factors among those factors as well. The main goal of this work is to assess the top management and proprietors’ of AIC enterprises readiness to implement the innovations. As a research’ working hypothesis used the decisive role of human factor in answering the question whether to innovate or not.
According to the literature on regime tran-sition, niches are sources of innovation that may lead to the transformation of the dominant regime, if pro-cesses at other level of the system –the landscape and the mainstream regime -are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation mod-els.