The rural production in Brazil has experienced a significant competitive impact with the stabilization of the economy promoted by the Real Plan in 1994. Indeed, the Brazilian agriculture has achieved efficiency gains in terms of technology, economies of scale and general modernization of the activity in the field. In this context, the professional management of rural production evolved. However, the governance process does not evolve in the same dimension, and the “governance risk” is still poorly addressed in the rural environment, which often limits the potential of operations.
So far, numerous studies have exhibited Silicon Valley and other thriving innovation ecosystems by distinguishing special characteristics in which their survival rely on sustaining activities that convert them to specific regions. These regions provide ready-made grounds for networking to be innovative. Meantime, it is struggling for innovations to be transformed into measurable economic results if players encounter a weak network of collaborative relationships in the ecosystem.
Brazil’s influence in agricultural development in Africa has become noticeable in recent years. South–South cooperation is one of the instruments for engagement, and affinities between Brazil and African countries are invoked to justify the transfer of technology and public policies. In this article, examines the case of one of Brazil’s development cooperation programs, More Food International (MFI), to illustrate why policy concepts and ideas that emerge in particular settings, such as family farming in Brazil, do not travel easily across space and socio-political realities.
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions.
Rapid climatic and socio-economic changes challenge current agricultural R&D capacity. The necessary quantum leap in knowledge generation should build on the innovation capacity of farmers themselves. A novel citizen science methodology, triadic comparisons of technologies or tricot, was implemented in pilot studies in India, East Africa, and Central America. The methodology involves distributing a pool of agricultural technologies in different combinations of three to individual farmers who observe these technologies under farm conditions and compare their performance.
The present study aims to characterize a new type of business ventures-agtech companies. Researchers conducted 3 interviews with the owners of agtechs located in Agtech valley and then by using a quantitative approach, collected secondary data of 74 firms from the Brazilian largest agricultural technology Science Park. This article contributes to the literature by characterizing the emerging type of new technology-based ventures within the agribusiness context.
This paper asks: What have been the impacts of farmer- or community-led (informal) processes of research and development in agriculture and natural resource management in terms of food security, ecological sustainability, economic empowerment, gender relations, local capacity to innovate and influence on formal agricultural research and development institutions?
Este libro se enfoca en el análisis del sistema de innovación del sector agropecuario en México y explora dos rasgos relevantes del mismo: i) los vínculos entre dos actores fundamentales: investigadores y productores agropecuarios, y ii) el papel de las organizaciones intermediarias de innovación. Se analizan las características de la vinculación academia-sector productivo, los canales de vinculación más usados, el impacto de la vinculación sobre los investigadores y la visión que tienen ambos actores (academia y productores) sobre la vinculación.
Esta revisión de la literatura muestra la diversidad de puntos de vista en la caracterización del AIS (visión estructural, visión funcional, visión ba-sada en procesos, visión basada en capacidades). Estas diferentes visiones del AIS se basan en diferentes hipótesis y abarcan diferentes métodos de análisis del AIS. Los académicos consideran que estos puntos de vista son complementarios y útiles para una evaluación operativa del AIS. Debido a esta multiplicidad de puntos de vista analíticos, se ha desarrollado un gran número de métodos.
Este libro está dirigido a todos aquellos interesados en la innovación como fenómeno sistémico. El marco teórico general es el de los siste-mas de innovación, dada su capacidad de explicación de un fenómeno complejo, su centralidad en el diseño de políticas y –como se verá a lo largo del libro– su potencial para discutir los problemas del desarrollo. Este libro no pretende ser un manual, en el sentido que se presentarán elementos centrales y constitutivos del enfoque y relaciones de causas y consecuencias.