Innovation platforms are by nature democratic spaces for joint problem identification, analysis, prioritization, and the collective design and implementation of activities to overcome problems. They are part of agricultural systems, and only a very small number of the stakeholders will be represented in the innovation platforms. This article sustainability and sucess criterea ofinnovation platforms
The Tanga Dairy Platform, created in 2008, is an informal forum of different stakeholders involved in the dairy industry of Tanzania’s Northeastern Tanga region. The platform’s objective is to exchange knowledge and develop joint actions to common problems. Six years on, it is a sustainable example of a commodity association addressing the joint problems of the region’s dairy industry.
By referring to the developments of transition theories, this paper analyse the innovation pathways involving the wheat-bread value chain in Tuscany (Italy). The analysis sheds light on the relevance of the nature of social innovation carried out by grassroots initiatives in their pursuing radical change aimed at deeply redefining production-consumption practices through social interaction, to meet socially shared needs and achieving several social benefits.
This flyer illustrates the Tropical Agriculture Platform (TAP), its work and publications.
Agricultural organizations are faced with continuous processes of change: economic openness, national and international competition between companies, adaptation to new business management models-Corporate Social Responsibility-, changing markets and the need to comply with regulations and certifications. This has led to the generation of a great demand for knowledge, preparation and motivation of the people who work in the organizations and in the agribusiness environment.
This study, commissioned by the European Parliament’s Policy Department for Citizens' Rights and Constitutional Affairs at the request of the Committee on Women’s Rights and Gender Equality, explores the working conditions of migrant women in agriculture in the EU, focusing on some case studies in Italy and Spain. In particular, it aims to examine the factors that render women vulnerable to exploitation, paying attention to gendered dynamics and power relations.
The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
Though research on communication and innovation during the last decade brought better understanding on the innovation process, this has not influenced the underlying paradigm and practice of Extension and Advisory Services (EAS) in most countries. At the same time there have been few initiatives that tried to experiment with new ways of developing capacities for extension and innovation.
Extension and advisory services (EAS) perform an important role in agricultural development and help reduce hunger and poverty. Development efforts are increasingly complicated because of challenges such as natural resource depletion and climate change. Agricultural development frameworks have moved from a linear to a more complex systems perspective. Many scholars today use the agricultural innovation systems (AIS) framework as a conceptual model.
Many small-scale irrigation systems are characterized by low yields and deteriorating infrastructure. Interventions often erroneously focus on increasing yields and rehabilitating infrastructure. Small-scale irrigation systems have many of the characteristics of complex socio-ecological systems, with many different actors and numerous interconnected subsystems. However, the limited interaction between the different subsystems and their agents prevents learning and the emergence of more beneficial outcomes.