While the Agricultural Science and Technology Indicators (ASTI) initiative provides data and analysis of domestic public and private spending on agricultural research and development for a wide range of developing countries, the literature pays little attention, if any, to foreign assistance to agricultural, fishing and forestry research and agricultural extension. The objective of the present study is to fill this gap.
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).
Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension.
Este articulo tiene como objetivo evaluar el entorno para la innovación en el estado de Zacatecas, para alcanzar este logro el estudio buscó recolectar la información secundaria necesaria para la identiciación de las cadenas productivas relevantes en el estado de Zacatecas. Así como caracterizar las cadenas prioritarias en su importancia socioeconómica y productiva, con el objeto de jerarquizarlas y también comparar la infomación obtenida para el año 2009 con la publicada en el 2004.
El objetivo de esta propuesta es presentar el uso de técnicas estadísticas para analizar y evaluar el proceso de adopción de innovaciones tecnológicas. La metodología que se propone incluye escalas cualitativas para analizarse con técnicas multivariadas como prueba de normalidad multivariada, análisis por componentes principales, aglomerados y correlación canónica. El uso de estas herramientas estadísticas se ejemplificó con un estudio de adopción tecnológica realizada con productores de cebada
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 significant results.
Se consideró pertinente hacer un análisis sobre las principales cadenas productivas del estado de Zacatecas, pensando en el dinamismo y otros factores que pueden modificar la importancia de estas cadenas. En el aspecto metodológico se hizo una jerarquización de las variables de acuerdo a criterios ponderados en cadenas agropecuarias para identificar cuál de estas son estratégicas para Zacatecas. Este estudio consideró solamente dos dimensiones: la importancia socioeconómica y la competitividad.
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.