Este documento tiene como propósito avanzar en un análisis del sector agropecuario en Colombia desde una perspectiva territorial. La base de este análisis es el reconocimiento expreso de la heterogeneidad territorial presente en Colombia y de la necesidad de contribuir con insumos técnicos que permitan reconocer las diferencias para así poder identificar de manera más precisa oportunidades para un sector que tiene potencial de desarrollo y que en un contexto de construcción de paz, puede ser fundamental para un crecimiento sostenible e inclusivo.
Among other functions, the INIA is involved in national and international cooperation in the field of agri-food research. The process of identifying and classifying gaps in our knowledge forms an essential part of this effort. This article describes that process, the tools and the materials used to achieve the final objective, namely, the identification of research priorities in the Spanish agri-food sector in order to deal with the societal challenges posed by society and the stakeholders involved.
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
The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.
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.
As part of the EU funded AgriSpin project (www.agrispin.eu), which aimed at “creating space for innovations” in agriculture across Europe, this contribution addresses the above mentioned knowledge gaps by a. elaborating a generic typology appropriate to capture the variety of ISS, b. structuring selected innovations along the degree of technological change and coordination levels, and c.
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.
The objective of this paper is to show how Value Chain Analysis for Development (VCA4D) applied sustainable development concept for value chain analysis to establish a manageable set of criteria allowing to provide quantitative information, which is desperately lacking in many situations in developing economies, usable by decision makers and in line with policymakers concerns and strategies (the “international development agenda”).
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.
The development of future food systems will depend on normative decisions taken at different levels by policymakers and stakeholders. Scenario modeling is an adequate tool for assessing the implications of such decisions, but for an enlightened debate, it is important to make explicit and transparent how such value-based decisions affect modeling results.