This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
Policy brief No. 2. The majority of the world’s poor are smallholder farmers in developing countries. These smallhol- ders face several obstacles that limit their produc- tivity and profits, such that their incomes remain low. Institutional changes in the agricultural value chains are required to reduce poverty rates among smallholder farmers, and to stimulate agricultural growth.
Farm workers in developing countries often belong to the poorest of the poor. They typically face low wages, informal working arrangements, and inadequate social protection. Written employment contracts with clearly defined rights and obligations could possibly help, but it is not clear how such contracts could be introduced and promoted in traditional peasant environments. To address this question, we develop and implement a randomized controlled trial with farmers in Côte d’Ivoire.
Enhancing the diversity of agricultural production systems is increasingly recognized as a potential
means to sustainably provide diversified food for rural communities in developing countries, hence
ensuring their nutritional security. However, empirical evidences connecting farm production
diversity and farm-households’ dietary diversity are scarce. Using comprehensive datasets of
market-oriented smallholder farm households from Indonesia and Kenya, and subsistence farmers
In the existing literature, the effects of contract farming on household welfare were examined with mixed results. Most studies looked at single contract types. This paper contributes to the literature by comparing two types of contracts – simple marketing contracts and resource- providing contracts – in the Ghanaian oil palm sector. We investigate the effects of both contracts on farm income, as well as spillovers on other household income sources. We use survey data collected with an innovative sampling design and a control function approach to address possible issues of endogeneity.
In this paper the authors present the diagnosis and re-design of farm systems as part of an innovation process involving farmers and scientists to improve the sustainability of family farms in south Uruguay. Although were selected farms with a large variation in resource endowment, they shared the main critical points of sustainability: low productivity and deteriorated soil quality.
This brief was prepared for the "Session Partnerships for Livelihood Impacts" of the second Global Conference on Agricultural Research for Development (GCARD2), that took place from 29 October to 1 November 2012 in Punta del Este, Uruguay. According to this document, new organizational arrangements which place the user of research central in the definition of research priorities and in uptake processes are required.
The problem being addressed during this session of the Second Global Conference on Agricultural Research for Development (GCARD2), which was held in Punta del Este, Uruguay, in 2012, is how we can bring together the needed diversity – of stakeholders and approaches – and understand better a number of multidimensional and complex questions such as: How can we inform stakeholders on alternative future scenarios and debate the desirability, consequences, winners and losers of diverse scenarios? How to better combine quantitative analyses with qualitative arguments?