This paper surveys members of a beef cattle value chain in Vietnam's Central Highlands to examine the translation of value chain actor's resources into positional advantage and financial performance in an emerging country. Using structural equation modeling techniques, the paper estimates a path model to explore how resources are linked to positional advantage and ultimately financial performance. This study attempts to contribute to the literature in two ways.
Digital technologies such as sensors, drones, satellites and blockchain are seen as a promising developments for value chain transparency. These technologies are often envisioned to enable more detailed, objective, and complete information collection, and to create secure, transparent and democratic ways of information sharing. The development of such digitally-enabled modes of information collection and analysis leads to what we term the rise of ‘hyper-transparency’.
The integration of male and female smallholders in high-end value chains (e.g. those for tree crops like cocoa, oil palm, avocado, and mango), has been promoted throughout the global South as a strategy for poverty alleviation, economic growth, employment generation, gender equality, and improved wellbeing. More critical literature, however, questions the inclusiveness of farmers’ value chain engagement. Despite rapid mainstreaming of inclusiveness in policy discourse, remarkably little literature sheds light on the operationalization of the concept. This paper addresses this gap.
Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
Dairy foods provide a significant portion of the recommended daily nutrition for much of the US population. Improving the availability of safe and nutritious dairy products and decreasing the environmental impact of the dairy community continue to be high priorities for both industry and the public sector. In recognition of these shared priorities, scientists and other specialists from the USDA, National Dairy Council, industry, academia, and nongovernmental organizations participated in the “Elevating Dairy Research and Extension Through Partnership” meeting on June 19, 2018.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system's capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management.
El establecimiento de prioridades de investigación e innovación es una preocupación permanente en la gobernanza de la ciencia y la tecnología, debido a que permea la definición de los objetos de estudio, la asignación de recursos por parte del Estado y la apropiación social de los resultados. Este artículo analiza las Agendas Estatales de Innovación en México, un programa impulsado por el gobierno mexicano para definir prioridades de innovación en la escala estatal.
El presente trabajo pone en relevancia la promoción del diseño y gestión de innovaciones tecnológicas para la resolución de problemáticas socio-productivas locales. Desde una visión de innovación, que intenta superar la óptica exclusivamente económica, se toma como caso paradigmático una experiencia de producción de hábitat desarrollada en la localidad de Concordia (Entre Ríos, Argentina). La misma, desarrolla colectivamente una tecnología asociada a sistemas constructivos en madera, con el fin de promover procesos productivos sustentables a partir de recursos y saberes locales.
El objetivo del trabajo fue mostrar cómo el Sistema de Innovación Agrícola Local (SIAL) en el municipio Perico, provincia Matanzas, Cuba, pudo resolver desafíos productivos a partir de que se detectaron en la Plataforma Multiactoral de Gestión (PMG), lo cual se inició con la problemática de bajo rendimiento en la producción de Ipomoea batatas (boniato) en el polo productivo de La Angelina. Para ello se utilizaron diferentes métodos científicos y técnicas de investigación como: diagnósticos del contexto, encuestas, muestreos de suelo, entre otros.