The role of civil society in influencing public opinion towards more democratic and developmental approaches is now well-recognised in diverse fields such as health, education, livelihoods, issues relating to disadvantaged social groups and the environment. Yet, science and technology in India is predominantly seen as the preserve of the state, and more recently the market. In the linear model of innovation, civil society is seen at best as having a role in extension or the delivery of technology produced elsewhere.
The Community Based Participatory Monitoring and Evaluation (CB-PME) tool empowers poor local farming communities to improve their livelihoods. While this process is people centred, it draws on local people’s capacities, while giving the end users of a technology a voice. The experience of the Katamata farmers’ group in Tororo district using PM&E (the participatory approach to monitoring and evaluation) is given in this paper.
There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed.
This paper identifies market failures that limit agricultural R&D for Africa and other resource-poor environments, and proposes a way to complement existing institutions with cash prizes for the dissemination of successful new technologies adopted by low-income farmers. The proposed prize institution would use agronomic experiments and farm surveys to document the value of innovations after their initial diffusion, and offer payments in proportion to estimated social benefits in target regions.
Biotechnology offers great potential to contribute to sustainable agricultural growth, food security and poverty alleviation in developing countries. Yet there are economic and institutional constraints at national and international levels that inhibit the poor people's access to appropriate biotechnological innovations.
Local innovation refers to the dynamics of Indigenous Knowledge (IK) - the knowledge that grows within a social group, incorporating learning from own experience over generations but also knowledge gained from other sources and fully internalized within local ways of thinking and doing. Local innovation is the process through which individuals or groups discover or develop new and better ways of managing resources - building on and expanding the boundaries of their IK.
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The livelihoods of mountain farmers are often constrained by poor access to markets and limited entrepreneurial skills for adding value to produce. Research and development organizations have now recognized that improving market access and enhancing the ability of resource-poor mountain farmers to diversify their links with markets are among the most pressing challenges in mountain agriculture.
La rencontre des chercheurs qui s’interrogent sur l’efficacité de leurs interventions pour accompagner les acteurs dans les processus de changement constitue une occasion pour s’interroger sur les méthodes de recherche à développer lors de travaux réalisés avec les acteurs : recherche participative, « recherche-action », recherche intervention... L’auteur propose de présenter la démarche de recherche-action comme nouvelle.
This study describes the evolving context and organisational linkages in the agricultural innovation system of Azerbaijan and suggests ways to promote effective organisational ties for the development, distribution and use of new or improved information and knowledge related to agriculture. Graph-theoretic principles and concepts are employed to assess the existing organisational linkages vital for agricultural innovations.
The increasing complexity of technology development and adoption is rapidly changing the effectiveness of scientific and technological policies. Complex technologies are developed and disseminated by networks of agents. The impact of these networks depends on the assets they command, their learning routines, the socio-economic environment in which they operate and their history.