This toolbox has been developed to collate different tools and methods that can be used for food system analysis.
It is specifically based on systems thinking for food system analysis, with the aim to formulate actionable recommendations that can bring about systemic change.It describes both the process of a food system analysis, as well as a set of tools that can be used at different stages.
This manual describes a number of tools that can be used in courses to facilitate the process of reflecting on the knowledge and experiences participants acquire, with the aim of making their leaning more explicit and articulated and contribute to their professional performance in their own working context.
This paper argues that Dutch-funded capacity development projects in developing countries for tertiary agricultural education organisations as they are currently carried out are not able to successfully achieve the sustained changes required. That is, changes in how an organisation functions, its cultural norms and rules, and also in how it interacts within wider networks. Rather, long-term institutional change is needed.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.
This booklet grew out of a study on what makes for responsible scaling in the context of agrifood systems, thinking along the same lines as ideas that gave rise to the concept of responsible research and innovation. In our initial exploration, we brought together a number of angles on the topic area (Wigboldus and Leeuwis, 2013; Wigboldus et al. 2016).
This paper surveys members of a beef cattle value chain in Vietnam's Central Highlands to examine the translation of value chain actor's resources into positional advantage and financial performance in an emerging country. Using structural equation modeling techniques, the paper estimates a path model to explore how resources are linked to positional advantage and ultimately financial performance. This study attempts to contribute to the literature in two ways.
This paper assesses how institutional interactions can strengthen effectiveness, by focusing on three multi-stakeholder partnerships for renewable energy. Based on an expert survey and semi-structured interviews, the study provides both theoretical and empirical contributions to understanding institutional interactions in relation to effectiveness. Moreover, it provides insights on how to strengthen the effectiveness of multi-stakeholder partnerships for renewable energy
While global demand for eggs is increasing, concerns are being raised about the environmental, economic and social impact of egg production. Efforts to address these sustainability concerns can, however, result in trade-offs. To enhance a transparent debate about future options and limitations in the egg sector, insight is needed in environmental, economic and social sustainability challenges as well as in potential trade-offs involved in addressing these challenges.
Despite the key role of actor networks in progressing new sustainable technologies, there is a shortage of conceptual knowledge on how policy can help strengthen collaborative practices in such networks. The objective of this paper is to analyze the roles of such policies – so-called network management – throughout the entire technological development processes.