This flyer provides an overview of the TAP Common Framework on Capacity Development (CD) for Agriculture Innovation System (AIS). The objective of the Common Framework is to consolidate the different approaches to CD for AIS, and make interventions more coherent and effective. Approved by TAP Partners in January 2016, the Common Framework is now being validated in 8 pilot countries in Africa, Asia and Central America.
Presentation for the AARINENA General Assembly. Damascus. 12-14 October 2008 on enhancing Information and Knowledge Systems for Agricultural Research and Innovation in West Asia and North Africa (WANA). In particular, the presentation outlines the need to enhance Information and Knowledge Systems in WANA, the priority areas for enhancing information and knowledge systems in WANA, the role of GFAR and its members in enhancing information and knowledge systems in WANA.
Agrifood value chains of small and medium-sized producers in the Near East and North Africa region have the potential to generate more value through improved access to high-value markets. Limited logistics capacity in the region, coupled with lack of access to continuous cold chain, has resulted in weak supply chain management, high level of food loss, lack of compliance with food quality and safety standards; information asymmetries; and unfair value distribution, affecting income and livelihood of small and medium-sized producers.
This article examines differences in the research approaches of farmers and scientists and analyzes how these differences are related to the conditions under which both groups engage in experimental work. Theoretical considerations as well as practical experiences are presented to emphasize the great potential of farmer–researcher collaboration for rural innovation.
The creation of Competitive Research Grants (CRGs) is globally recognized as an institutional innovation for improving the effectiveness of agricultural research. Unlike block grants for research, CRGs are expected to bring in many top-quality proposals from a wide range of actors, selecting the best out of them and thus getting more value for money.
The adoption of new technologies can contribute to both efficiency and effectiveness and is a key source of long-term competitive advantage in entrepreneurial ventures. This is particularly relevant for poverty entrepreneurs. However, the literature on technology adoption and use in the poverty context is sparse, and is predominantly focused on developing economies. The current article seeks to address these shortcomings. We identify critical areas of typical ventures launched by the poor that are affected by technology.
La Gestión de Tecnología e Innovación (GTI) juega un papel crucial en el avance del sector agropecuario de una nación, ya que promueve el mejoramiento de la productividad y competitividad en todas las regiones, consolidándose como una herramienta fundamental en su desarrollo. El propósito central de este estudio es proponer una nueva perspectiva en la gestión de la tecnología y la innovación para las Unidades de Producción Agropecuaria (UPA) de la provincia de Cotopaxi, presentando así una alternativa innovadora que busca resolver los retos existentes y futuros en esta materia.
[Introducción]: El cultivo de madera sostenible pierde terreno ante la producción agrícola y otros usos de la tierra; para contrarrestar esto, es necesario entender de qué manera el ente productor toma decisiones en la adopción voluntaria de sistemas agrícolas.
La innovación se implementa en un entorno de objetivos de desarrollo productivo a través de un sistema que incluye incentivos, tecnología y redes público-privadas. El objetivo principal de este estudio es analizar la innovación en los agronegocios de El Oro y determinar cómo incide en la competitividad del sector agropecuario. La metodología utilizada en este estudio es descriptiva y documental, con carácter científico, además está enmarcada bajo el enfoque cuantitativo.
This research delves into the underlying impacts of farmers' innovative entrepreneurship on agricultural and rural economic development in China, adopting a dynamic and spatio-temporal perspective. The study utilizes panel data encompassing 30 provinces (cities and autonomous regions) from 2015 to 2020, with a systematic consideration of diversified spatial weight matrices.