The paper sets out the general concepts and principles of the Agricultural Innovation Systems approach, and its application to agricultural research and development, particularly in sub-Saharan Africa. It is intended for those interested in applying new approaches to research with farmers, NGOs and the private sector that lead to developmental outcomes.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.
This paper discusses the challenges and determinants of agro-operations and innovation initiatives in developing countries. With particular reference to the Caribbean region, available country statistics and data are analysed. A generic model of collaborative innovation for agriculture that stresses collaboration among the stakeholders (government, knowledge institutions, public and private firms and others) is described.
Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.
Este libro, originalmente un documento de trabajo económico y sectorial del Banco Mundial, se inició como resultado de un taller internacional,“Desarrollo de sistemas de investigación para el apoyo a un cambiante sector agrícola”, que fue organizado por el Departamento de Agricultura y Desarrollo Rural del Banco Mundial en junio de 2004 en Washington, DC.
Les partisans de la souveraineté alimentaire veulent développer les agricultures locales, tandis que les avocats de la libéralisation vantent les bienfaits d’un approvisionnement à moindre coût sur les marchés. Les premiers pensent que les Etats doivent définir leur politique agricole pour répondre aux besoins de leurs populations, les seconds préfèrent le concept de « sécurité alimentaire », affirmant qu’il reconnaît aussi à chaque citoyen le droit de se nourrir à sa faim. Le combat pour la souveraineté a du mal à s’imposer dans l’arène politique.
The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.
Despite increasing interest and support for multi-stakeholder partnerships, empirical applications of participatory evaluation approaches to enhance learning from partnerships are either uncommon or undocumented. This paper draws lessons on the use of participatory self-reflective approaches that facilitate structured learning on processes and outcomes of partnerships. Such practice is important to building partnerships, because it helps partners understand how they can develop more collaborative and responsive ways of managing partnerships.
The UNDP Capacity Assessment Methodology User‘s Guide gives UNDP and other development practitioners a detailed step-by-step guide to conducting a capacity assessment using the UNDP Capacity Assessment Methodology, which consists of the UNDP Capacity Assessment Framework, a three-step process and supporting tools.
This paper introduces the Multilevel Stakeholder Influence Mapping (MSIM) tool, which aims to assist analysts in the study of power dynamics across levels within climate adaptation regimes. The tool is adapted from the Stakeholder Influence-Mapping tool (2005) of the International Institute for Environment and Development (IIED). MSIM is a simple visual tool to examine and display the relative power/influence that different individuals and groups have over a focal issue—in this case, climate change adaptation of smallholder farmers.