Desde su aparición en la década de 1990, el enfoque de los sistemas regionales de innovación (SRI) ha atraído una considerable atención por parte de los geógrafos económicos, académicos y responsables de políticas de innovación. El enfoque SRI ocupa un lugar destacado en el discurso científico sobre la desigual geografía de la innovación y los factores que explican la genera-ción de conocimiento y la capacidad de innovar de las regiones. El objetivo de este trabajo es reflexionar acerca de la aparición del enfoque SIR, su debate actual, así como los retos de futuro.
This paper reflects on the experiences of the Applied Research and Innovation Systems in Agriculture (ARISA) project to caralyse agricultural innovation by bringing RIs and private sector (PS) actors together in partnerships. Facilitating partnerships to caralyse innovation requires capacity building of individuals as well as institutional change. This paper examines the approaches to parnering for innovation, successes, challenges and lessons learned
The main challenge in Indonesia to an innovation-led approach to increasing farm productivity and farmers’ incomes is not due to a lack of good ideas by researchers but rather the lack of effective mechanisms making these ideas available and accessible to farmers.
Climate-smart agriculture (CSA) is increasingly seen as a promising approach to feed the growing world population under climate change. The review explored how institutional perspectives are reflected in the CSA literature. In total, 137 publications were analyzed using institutional analysis framework, of which 55.5% make specific reference to institutional dimensions. While the CSA concept encompasses three pillars (productivity, adaptation, and mitigation), the literature has hardly addressed them in an integrated way.
Although an agro-based country, the farmers of Bangladesh do not receive significant returns from their products, due to some obstacles blocking the achievement of this ultimate goal. This study tries to identify the major challenges of the agroforestry product supply chains in Bangladesh, and offer an alternative solution through the involvement and experiences of farmer cooperatives within a Japanese cooperative model.
An extension help farmers in their efforts to increase production and quality of their products in order to improve their welfare. Therefore, the extension has many roles, among others as a mentor farmer extension, organizer, coach technicians and a bridge between family farmers and research institutions in agriculture because of the existence of agricultural extension field is important for farmers. Extension activities in the desa Tanjung Gunung one of which was given to cocoa farmers.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.
Recent research has analyzed whether higher levels of farm production diversity contribute to improved diets in smallholder farm households. We add to this literature by using and comparing different indicators, thus helping to better understand some of the underlying linkages. The analysis builds on data from Indonesia, Kenya, and Uganda. On the consumption side, we used 7-day food recall data to calculate various dietary indicators, such as dietary diversity scores, consumed quantities of fruits and vegetables, calories and micronutrients, and measures of nutritional adequacy.