Consumer concerns are leading to changes in China’s food markets and demands for higher quality food. In this article, we explore the role of farmer cooperatives in China in linking farmers with high-quality food markets. We consider food quality a social construct and farmer cooperatives key players in the ‘quality battlefield’. Using a case study approach, we investigate the everyday practices of three farmer cooperatives.
We look at the trade-off between smallholder cocoa intensification and the ecosystem in Indonesia and investigate the determinants of environmental efficiency in cocoa production. In our analysis, we apply a distance output function that includes cocoa production and the abundance of native rainforest plants as outputs. Our data set, based on a household and environment survey conducted in 2015, allows us to analyze 208 cocoa producers with both measured and self-reported data. We find that the intensification of cocoa farms results in higher ecosystem degradation.
Selon Olivier De Schutter, l’agroécologie peut doubler la production alimentaire en 10 ans, tout en réduisant la pauvreté rurale et en apportant des solutions au changement climatique. Au Burkina Faso, des initiatives et projets agroécologiques voient le jour. Ce reportage de 17 minutes part à la rencontre de ces praticiens de l’agroécologie.
The ANNEX of the report can be found under this link: https://cdais.net/wp-content/uploads/2019/07/Final-mid-term-evaluation-r...
Des changements dans les agendas des politiques publiques des Comités Nationaux de l’Agriculture Familiale des Philippines, du Honduras, du Burkina Faso et du Sénégal seront soutenus techniquement et économiquement. La création d’un nouveau Comité au Tchad sera également appuyée.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
The objective of this case study is to understand the application of ICT technologies for rural groundwater management in China, and it’s impacts on the rural poor. This will help understand the physical and policy context this technology is being applied and expanded, its impact on resource management, and changes in water delivery service to farmers. These understanding will help improve this technology and provide data and information for its replication in other parts of Asia. It will also h elp understand the capabilities of the ICT within the water sector applications.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.
This concept note has been developed within the context of the EU-funded CDAIS project, which is jointly implemented by AGRINATURA-EEIG and the Food and Agriculture Organization of the United Nations (FAO) to support the TAP Action Plan in eight pilot countries in Africa (Angola, Burkina Faso, Ethiopia, Rwanda), Asia (Bangladesh, Laos) and Central America (Guatemala, Honduras) .