Se plantea en este trabajo producto de la investigación Asociatividad y Competitividad en la Agroindustria Alimentaria en Oaxaca, México, cuyo objeto es diseñar un modelo para la Agroindustria Alimentaria; para lo cual es necesario un análisis descriptivo documental que permite caracterizar los elementos que condicionan la Asociatividad en las micro, pequeñas y medianas empresas del sector agroindustrial alimentario, y su utilización como estrategia para ser competitivas las MiPyMEs así como para hacer la contribución decisiva a la seguridad alimentaria. Se presenta en el documento la situa
Since 2017, in line with COAG’s recommendation, the Research and Extension Unit engaged in the development of a participatory AIS assessment framework including a customizable toolbox for countries with a totally new capacity development perspective. The assessment framework is meant for actors of the national agricultural innovation systems, i.e.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
This chapter examines processes to inform decision making and manage innovation at four generally defined levels of the innovation system for agriculture; policy, investment, organization, and intervention and also identifies methods relevant at each level for assessing, prioritizing, monitoring, and evaluating innovation processes so that practitioners have the information needed for decision making and for managing limited resources effectively.
TAP and its partners carried out regional surveys in Asia, Africa and Central America to assess priorities, capacities and needs in national agricultural innovation systems. This document provides a Regional synthesis report on capacity needs assessment for agricultural innovation in Africa. FARA was selected as Recipient Organization by FAO to facilitate TAP implementation in Africa. This is mainly due to its position as the umbrella organization bringing together and forming coalitions of major regional stakeholders in agricultural research and development.
The study assesses the farmers’ use of Global System for Mobile (GSM) for communication among farmers in agricultural extension programs in Taraba State, Nigeria. Specifically, the objectives include: identify key areas in which GSM are used for communication in agricultural extension programs activities, determine the frequency of usage of GSM for information exchange between farmers and extension personnel; and ascertain farmers’ satisfaction in the use of GSM in obtaining information in the various agricultural extension programs.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.
Familiar mixed dairy sheep farm is the most widespread system in the Mediterranean basin, in Latin America and in developing countries (85%). There is a strong lack of technological adoption in packages of feeding and land use in small-scale farms. To increase competitiveness, it would be of great interest to deepen the knowledge of how innovation was selected, adopted, and spread. The objective of this research was to select strategic feeding and land use technologies in familiar mixed dairy sheep systems and later assess dairy sheep farms in Spain.