La formulación, implementación y gestión de proyectos de desarrollo rural requiere procesos de participación que induzcan la acción colectiva. Estos procesos necesitan nuevas estructuras sociales donde se involucre a la sociedad civil organizada, como los llamados Grupos de Acción Local (GAL) creados en el contexto de la iniciativa europea LEADER.
En este artículo se aborda la temática de las experiencias exitosas de las organizaciones sociales en el Corredor Biológico Mesoamericano a partir de una evaluación participativa de la cual surgieron 22 indicadores que permiten medir, ya sea de forma cuantitativa o cualitativa el desarrollo de los proyectos.
Los nuevos modelos de transferencia de tecnología aplicados desde la década de los noventa al sector rural mexicano han tenido como resultado bajas coberturas, en 2010 sólo el 2% de 5.5 millones de unidades de producción rural contaban con este servicio. En busca de mejorar la eficiencia y eficacia de los recursos públicos, se propone una estrategia para incrementar la cobertura de transferencia de tecnología en el sector rural. Se analizaron 11 casos de agentes de cambio que intervinieron en 2010 con procesos de transferencia de tecnología.
La presentación explica qué tipo de indicadores se pueden usar para valorar la extensión rural.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
Although the benefits of genetically modified (GM) crops have been well documented, how do farmers manage the risk of new technology in the early stages of technology adoption has received less attention. We compare the total factor productivity (TFP) of cotton to other major crops (wheat, rice, and corn) in China between 1990 and 2015, showing that the TFP growth of cotton production is significantly different from all other crops. In particular, the TFP of cotton production increased rapidly in the early 1990s then declined slightly around 2000 and rose again.
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.
Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.