El objetivo de este trabajo fue dentificar los factores que influyen directamente en el resultado de los proyectos de desarrollo agroindustrial rural. Metodología: se aplicó un enfoque cualitativo de tipo descriptivo. La información primaria se recabó mediante entrevistas con actores y la secundaria a través de consulta de fuentes documentales como informes de gestión, evaluaciones agropecuarias, repositorios y revistas especializadas.
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.
In this paper, was used a case study approach to investigate the patterns of employment and income generation in cotton and rice value chains in Senegal and Benin. The purpose of the paper is to provide a comprehensive description of both value chains in both countries, emphasizing export potential and innovation entry points with the goal of assessing capacity to generate income, create jobs, and bring about food security.
Existing studies which have examined the impact of group farming on farm productivity have focused predominantly on former socialist regimes, usually comparing production under various types of collectivised/cooperatized farms with farm enterprises that emerged in the post-reform period, or after decollectivisation. Given this specificity, their experience is at best indicative; it cannot provide substantive lessons on the potential outcomes of group farming in today’s developing countries. This paper seeks to do so.
Low and slow adoption of improved agricultural technologies among smallholders often frustrate technology development and promotion efforts in the developing world. That is especially true for technologies requiring high initial investment. This study investigates how increasing farmers' awareness and exposure to new agricultural technologies through the creation of systematic linkages in the research-to-development continuum affect adoption. The double hurdle and duration analysis models were applied to a sample of 820 smallholder households producing wheat and barley in Syria.
This article used thematic content analysis to assess the influence of IPs on the governance of the parboiled rice value chain. The findings reveal that local rice value chains are characterized by unequal access to resources and asymmetry of power, which generates inequalities within groups. Although their influence is less discernible, IPs have contributed to greater visibility for some emerging stakeholders and rebalanced stakeholders in terms of influence in value chains
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.
Au Bénin, le soja connaît un accroissement de la production ces dernières années grâce au développement d’in-novations technologiques, organisationnelles et institutionnelles. Mais ces innovations susceptibles d’accroître la productivité, la compétitivité et la viabilité des exploitations agricoles ne sont pas adoptées à grande échelle dans au centre du Bénin. La présente étude a effectué une analyse de la mise en œuvre des systèmes d’innovation de soja au Centre-Bénin pour induire des changements dans les comportements des acteurs et dans les systèmes de production.
Les plateformes d’innovation (PI) sont perçues aujourd’hui comme les approches les plus adéquates de développement et de promotion des innovations agricoles. Mais la plupart des précédentes études se sont focalisées à la description des résultats obtenus sans approfondir les facteurs sous-tendant ces résultats.