This paper shows there is a fundamental significance of Social Learning to agricultural innovation, which can be operationalized by framing agricultural innovation as changes in understanding, practices and relationships. The use of Social Learning as a design framework supports the emergence of agricultural innovations that bring equitable benefits, are sustainable and are innovated in context.
This book attempt to analyses the small ruminant livestock production and marketing systems in Benin Republic, to identify the constraints, source solutions and explicate the innovation opportunities within the industry. The book explicated both the technological, institutional or infrastructural modification including market, policies, social interactions that could be manipulated to yield improved productivity and profitability. It further explored both qualitative and quantitative value chain analysis of gains from the adjustments of the interventions of different actors.
This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.
The objective of this study was to analyse the economic and environmental impacts of the adoption of climate change adaptation strategies on farm management in Benin. The data were collected from 371 producers. Descriptive statistics, pie charts and histograms were used to represent and characterise the different adaptation strategies depending on the climatic risks experienced on the farms surveyed. The flora analysis tool EX-ACT developed by FAO allowed to evaluate greenhouse gas at farm level depending on the adaptation strategies used.
This study was set out to describe the operation of the agricultural multi-stakeholder platforms and assess the impact of their activities on the production and revenue of the different beneficiaries. The required data was collected from 285 stakeholders using structured questionnaires. The econometric approach based on the Local Average Treatment effect (LATE) was used to identify the impact of the participation in the MSP activities on the revenue and yield of the producers
This report is the result of a study that was carried out for the African Forum for Agricultural Advisory Services (AFAAS), to make an inventory of experiences with ‘market-oriented agricultural advisory services’ (MOAAS). Lessons learned have been drawn from the cases studied. These lessons are the basis for guidelines formulated for setting up market-oriented agricultural advisory services.
Innovation is high on the agenda, in view of the deep economic crisis and the challenges of feeding 9 billion people in 2050 in a more sustainable way. For an effective and efficient response the Agricultural Knowledge and Innovation Systems (Akis) needs to innovate itself and adopt new ways of working.
This paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, aims to summarise the main features of the AgriSpin project. The project is being financed by the Horizon 2020 research program of the European Commission aiming at contributing to system-oriented innovation research in agriculture and as complementary to the policy instrument EIP AGRI. The idea behind EIP AGRI is that innovation emerges from interaction between stakeholders.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.