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.
El trabajo muestra cómo transcurre la gestión del conocimiento (GC) en el Sistema de Innovación Agropecuaria Local (SIAL), lo cual constituye un instrumento de trabajo para los gobiernos locales. Se realiza un abordaje teórico de la categoría GC, su llegada a Cuba y las particularidades de su aplicación. Expone los conceptos fundamentales para entender las relaciones entre gestión del conocimiento e innovación para el desarrollo agropecuario local y presenta los resultados de la gestión del conocimiento en el SIAL.
This paper presents the common framework on CD for AIS developed by TAP and points to the relevance of meta-learning and the importance of “functional capacities”, if higher education institutions and their graduates are to become active players in the agricultural innovation system. The Framework was developed through an inclusive, participatory and multi-stakeholders approach with contributions by TAP Partners, including FARA and the Global Conference on Higher Education and Research in Agriculture.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced some interesting insights. For instance public research spending has a positive significant effect for emerging economies, while no statistically significant effect was found for foreign aid for research.
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.