This report, drawing on a rapid desk-based review, seeks to outline the potential role of Afican Advisory Services (AAS) in addressing climate change and explores how far AAS in sub-Saharan Africa (SSA) are able to respond to climatic and other pressures. Recommendations are outlined, indicating how AFAAS can help AAS to understand climate change better and become more ‘adaptive’ in their responses
The project case-studies described in this document a range of local-level, mainly donor-funded projects in four countries (Sierra Leone, Benin, Uganda and Mozambique). These projects incorporate climate change in their design and rationale in different ways, but generally base themselves on broad-brush climate trends or climate uncertainty rather than on specific downscaled projections. They also demonstrate a continuum ranging from pure knowledge provision, through breeding, seed supply, input provision and marketing, to provision of hardware and infrastructure, especially in irrigation.
Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.
Boundary-spanning search for knowledge is an effective way for enterprises to acquire heterogeneous knowledge, and is also an important pre-stage to realize effective knowledge reconstruction. Based on the boundary-spanning search for knowledge theory, this paper studies the relationship between boundary-spanning search for knowledge and the sustainable innovation ability of agricultural enterprises considering the influence of organizational knowledge reconstruction, from a Chinese perspective.
The impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.