La investigación participativa ecológica forestal y agroforestal (IPEFA) se concibe y se practica de muy distintas maneras, definidas por voluntad de quienes investigan y/o por las circunstancias que enfrentan.
Este artículo es una aproximación al tema de la estrategia de política pública para el desarrollo rural en México. Tiene por objetivo establecer contrastes entre la política que se derivaría de la normatividad vigente y la incidencia efectiva de la acción gubernamental sobre las condiciones productivas y sociales del medio rural; así como, entre los instrumentos normativos que rigen la planeación, diseño y ejercicio de la política pública y sus resultados en los últimos años.
Esta investigación tiene como objetivo proponer un modelo de asociatividad en cadena productiva de las micro, pequeñas y medianas empresas (MIPYMES) agroindustriales de cítricos en el norte del estado de Veracruz, México, con el propósito de explicar en qué medida los actores directos, los servicios de apoyo, el entorno, las relaciones y las políticas de gobierno determinan la asociatividad en la cadena productiva. La problemática que origina esta investigación es el desconocimiento del funcionamiento de las MIPYMES agroindustriales de cítricos en esta zona del país.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated
There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
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.